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data ai business analytics with power bi: Self-Service AI with Power BI Desktop Markus Ehrenmueller-Jensen, 2020-10-01 This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets. No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services and Azure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios. There’s much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user. Power BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features. What You Will Learn Ask questions in natural language and get answers from your data Let Power BI explain why a certain data point differs from the rest Have Power BI show key influencers over categories of data Access artificial intelligence features available in the Azure cloud Walk the same drill down path in different parts of your hierarchy Load visualizations to add smartness to your reports Simulate changes in data and immediately see the consequences Know your data, even before you build your first report Create new columns by giving examples of the data that you need Transform and visualize your data with the help of R and Python scripts Who This Book Is For For the enthusiastic Power BI user who wants to apply state-of-the-art artificial intelligence (AI) features to gain new insights from existing data. For end-users and IT professionals who are not shy of jumping into a new world of machine learning and are ready to make that step and take a deeper look into their data. For those wanting to step up their game from doing simple reporting and visualizations by making the move into diagnostic and predictive analysis. |
data ai business analytics with power bi: Mastering Power Query in Power BI and Excel Reza Rad, Leila Etaati, 2021-08-27 Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query. |
data ai business analytics with power bi: Data Analysis with Microsoft Power BI Brian Larson, 2020-01-03 Explore, create, and manage highly interactive data visualizations using Microsoft Power BI Extract meaningful business insights from your disparate enterprise data using the detailed information contained in this practical guide. Written by a recognized BI expert and bestselling author, Data Analysis with Microsoft Power BI teaches you the skills you need to interact with, author, and maintain robust visualizations and custom data models. Hands-on exercises based on real-life business scenarios clearly demonstrate each technique. Publishing your results to the Power BI Service (PowerBI.com) and Power BI Report Server are also fully covered. Inside, you will discover how to: •Understand Business Intelligence and self-service analytics •Explore the tools and features of Microsoft Power BI •Create and format effective data visualizations •Incorporate advanced interactivity and custom graphics •Build and populate accurate data models •Transform data using the Power BI Query Editor •Work with measures, calculated columns, and tabular models •Write powerful DAX language scripts •Share content on the PowerBI Service (PowerBI.com) •Store your visualizations on the Power BI Report Server |
data ai business analytics with power bi: Advanced Analytics in Power BI with R and Python Ryan Wade, 2020-09-05 This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard to do, if not impossible, using native Power BI tools without Power BI Premium capacity. For example, you will learn to score Power BI data using custom data science models, including powerful models from Microsoft Cognitive Services. The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration, but become easier through the application of data wrangling features that languages such as R and Python support. If you are a BI developer, business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you to do that. What You Will Learn Create advanced data visualizations through R using the ggplot2 package Ingest data using R and Python to overcome the limitations of Power Query Apply machine learning models to your data using R and Python Incorporate advanced AI in Power BI via Microsoft Cognitive Services, IBM Watson, and pre-trained models in SQL Server Machine Learning Services Perform string manipulations not otherwise possible in Power BI using R and Python Who This Book Is For Power users, data analysts, and data scientists who want to go beyond Power BI’s built-in functionality to create advanced visualizations, transform data in ways not otherwise supported, and automate data ingestion from sources such as SQL Server and Excel in a more succinct way |
data ai business analytics with power bi: Artificial Intelligence with Microsoft Power BI Jen Stirrup, Thomas J. Weinandy, 2024-03-28 Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project |
data ai business analytics with power bi: Introducing Microsoft Power BI Alberto Ferrari, Marco Russo, 2016-07-07 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. Be sure to watch for the publication of Alberto Ferrari and Marco Russo's upcoming retail book, Analyzing Data with Power BI and Power Pivot for Excel (ISBN 9781509302765). Go to the book's page at the Microsoft Press Store here for more details:http://aka.ms/analyzingdata/details. Learn more about Power BI at https://powerbi.microsoft.com/. |
data ai business analytics with power bi: Integration Challenges for Analytics, Business Intelligence, and Data Mining Azevedo, Ana, Santos, Manuel Filipe, 2020-12-11 As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students. |
data ai business analytics with power bi: Implementing Power BI in the Enterprise Greg Low, 2021-06-09 Power BI is an amazing tool. It's so easy to get started with and to develop a proof of concept. Enterprises want more than that. They need to create analytics using professional techniques. In this unique book, Dr Greg Low shows you how he has implemented many successful Power BI implementations in enterprises. If you want a book on building better visualizations in Power BI, this is not the book for you. Instead, this book will teach you about architecture, identity and security, building a supporting data warehouse, using DevOps and project management tools, learning to use Azure Data Factory and source control with your projects. It also describes how he implements projects for clients with differing levels of cloud tolerance, from the cloud natives, to cloud friendlies, to cloud conservatives, and to those clients who are not cloud friendly at all. |
data ai business analytics with power bi: Expert Data Modeling with Power BI Soheil Bakhshi, 2021-06-11 Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI Key Features Understand data modeling techniques to get the best out of data using Power BI Define the relationships between data to extract valuable insights Solve a wide variety of business challenges by building optimal data models Book DescriptionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently. You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics.What you will learn Implement virtual tables and time intelligence functionalities in DAX to build a powerful model Identify Dimension and Fact tables and implement them in Power Query Editor Deal with advanced data preparation scenarios while building Star Schema Explore best practices for data preparation and modeling Discover different hierarchies and their common pitfalls Understand complex data models and how to decrease the level of model complexity with different approaches Learn advanced data modeling techniques such as aggregations, incremental refresh, and RLS/OLS Who this book is for This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. You’ll need a solid grasp on basic use cases and functionalities of Power BI and Star Schema functionality before you can dive in. |
data ai business analytics with power bi: Getting started with Power Query in Power BI and Excel Reza Rad, Leila Etaati, 2021-08-27 Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in the structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else comes from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may be already familiar with some other data preparation and data transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Unfortunately, because Power Query and data preparation is the kitchen work of the BI system, many Power BI users skip the learning of it and become aware of it somewhere along their BI project. Once they get familiar with it, they realize there are tons of things they could have implemented easier, faster, and in a much more maintainable way using Power Query. In other words, they learn mastering Power Query is the key skill toward mastering Power BI. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is complied into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (this book) Mastering Power Query in Power BI and Excel (already available to be purchased separately) Power Query dataflows (will be published later) Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query. |
data ai business analytics with power bi: Artificial Intelligence for Business Analytics Felix Weber, 2023-03-01 While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. |
data ai business analytics with power bi: Artificial Intelligence with Power BI Mary-Jo Diepeveen, 2022-04-29 Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data Key FeaturesLearn how to gain better insights from your data by applying different AI techniques within Power BISave time by creating machine learning models independently and integrating them within your BI reportsUnderstand how to combine Cognitive Services and Azure Machine Learning together with Power BIBook Description The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data. This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data. You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly. By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI. What you will learnApply techniques to mitigate bias and handle outliers in your dataPrepare time series data for forecasting in Power BIPrepare and shape your data for anomaly detectionUse text analytics in Power Query EditorIntegrate QnA Maker with PowerApps and create an appTrain your own models and identify the best one with AutoMLIntegrate an Azure ML workspace with Power BI and use endpoints to generate predictionsWho this book is for This artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book. |
data ai business analytics with power bi: Mastering Power BI Chandraish Sinha, 2024-05-28 Take a deep dive into the dynamic world of Power BI! KEY FEATURES ● In-depth knowledge of Power BI, demonstrated through step-by-step exercises. ● Covers data modeling, visualization, and implementing security with complete hands-on training. ● Includes a project that simulates a realistic business environment from start to finish. ● This version teaches about Artificial Intelligence visuals in Power BI. DESCRIPTION Mastering Power BI covers the entire Power BI implementation process. The readers will be able to understand all the concepts covered in this book, from data modeling to creating powerful visualizations. This book begins with concepts and terminology such as the star-schema, dimensions, and facts. It explains multi-table dataset and demonstrates how to load these tables into Power BI. It shows how to load stored data in various formats and create relationships. Readers will also learn more about Data Analysis Expressions (DAX). This book is a must for developers to learn how to extend the usability of Power BI, to explore meaningful and hidden data insights. Throughout the book, you keep on learning about the concepts, techniques, and expert practices on loading and shaping data, visualization design, and security implementation. The second edition of Mastering Power BI book adheres to the first edition in terms of providing the basics of business intelligence and Power BI; however, it introduces new concepts and features in terms of data transformation, data profiling, custom hierarchies, AI visuals, and many more. WHAT YOU WILL LEARN ● Learn about Business Intelligence (BI) concepts and their contribution in business analytics. ● Learn to connect, load, and transform data from disparate data sources. ● Create and execute powerful DAX calculations. ● Design various visualizations to prepare insightful reports and dashboards. WHO THIS BOOK IS FOR This book is for anyone interested in learning how to use Power BI desktop or starting a career in business intelligence and analytics. While it covers all the fundamentals, it is recommended that the reader be familiar with MS Excel and database concepts. TABLE OF CONTENTS 1. Understanding the Basics 2. Connect and Shape 3. Advanced Data Transformations 4. Optimize Your Data Model 5. Data Analysis Expressions 6. Visualizations in Power BI 7. Drill Through and Drill Down Reports 8. Artificial Intelligence in Power BI 9. Power BI Service 10. Securing Your Application |
data ai business analytics with power bi: Power BI Data Analysis and Visualization Suren Machiraju, Suraj Gaurav, 2018 Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft's Power BI is a very viable, cost effective option for data visualization. The book covers the fundamentals and most commonly used features of Power BI, but also includes an in-depth discussion of advanced Power BI features such as natural language queries; embedding Power BI dashboards; and live streaming data. It discusses real solutions to extract data from the ERP application, Microsoft Dynamics CRM, and also offers ways to host the Power BI Dashboard as an Azure application, extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL. Authored by Microsoft experts, this book uses real-world coding samples and screenshots to spotlight how to create reports, embed them in a webpage, view them across multiple platforms, and more. Business owners, IT professionals, data scientists, and analysts will benefit from this thorough presentation of Power BI and its functions. |
data ai business analytics with power bi: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Sun, Zhaohao, Wu, Zhiyou, 2022-03-11 Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students. |
data ai business analytics with power bi: 13 Keys to Grow Your Business with ChatGPT Vision Tree Psychology and Technology Education Center, 2024-06-21 Are you ready to revolutionize your business with cutting-edge AI technology? In 13 Keys to Grow Your Business with ChatGPT, we provide a comprehensive guide to leveraging ChatGPT for business growth. This book is a must-read for entrepreneurs, business owners, and professionals looking to harness the power of AI to achieve unprecedented success. Inside this Book: Understanding ChatGPT: Learn the fundamentals of ChatGPT and how it can be integrated into various aspects of your business. Practical Applications: Discover practical, real-world applications of ChatGPT in customer service, marketing, sales, and more. Strategies for Success: Explore 13 proven strategies to enhance your business operations, improve customer engagement, and boost profitability. Case Studies: Gain insights from detailed case studies of businesses that have successfully implemented ChatGPT. Future Trends: Stay ahead of the curve with a look at the future of AI in business and how you can prepare for upcoming trends. Why Read This Book? Actionable Insights: Get step-by-step instructions and actionable tips that you can implement immediately. Expert Advice: Benefit from the extensive experience and expertise of Vision Tree Psychology and Technology Education Center. Comprehensive Guide: Whether you are a novice or an expert, this book provides valuable insights for all levels of AI understanding. Unlock the full potential of your business with the transformative power of ChatGPT. Order your copy of 13 Keys to Grow Your Business with ChatGPT today and take the first step towards achieving your business goals. About the Organization: Vision Tree Psychology and Technology Education Center is one of the leading authority in AI and business strategy, with professionals over 10 years of experience helping businesses of all sizes achieve their goals. Located in Brussels, Belgium, Vision Tree continues to innovate and lead in the fields of AI and business development. For more information, visit www.visiontree.be. |
data ai business analytics with power bi: Business Analytics: Turning Data into Decisions Cybellium, Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
data ai business analytics with power bi: Social Data Analytics Amin Beheshti, Samira Ghodratnama, Mehdi Elahi, Helia Farhood, 2022-08-01 This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics. |
data ai business analytics with power bi: Conversational Artificial Intelligence Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, K. Sakthidasan Sankaran, 2024-01-30 This book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI applications. It is particularly suited for those that bridge the academic world and industry, allowing readers to understand the security concerns in advanced security solutions for conversational AI in the cloud platform domain by reviewing present and evolving security solutions, their limitations, and future research directions. Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details. |
data ai business analytics with power bi: Mastering Microsoft Power BI Greg Deckler, Brett Powell, Leon Gordon, 2022-06-30 Plan, design, develop, and manage robust Power BI solutions to generate meaningful insights and make data-driven decisions. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesMaster the latest dashboarding and reporting features of Microsoft Power BICombine data from multiple sources, create stunning visualizations and publish Power BI apps to thousands of usersGet the most out of Microsoft Power BI with real-world use cases and examplesBook Description Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI. What you will learnBuild efficient data retrieval and transformation processes with the Power Query M language and dataflowsDesign scalable, user-friendly DirectQuery, import, and composite data modelsCreate basic and advanced DAX measuresAdd ArcGIS Maps to create interesting data storiesBuild pixel-perfect paginated reportsDiscover the capabilities of Power BI mobile applicationsManage and monitor a Power BI environment as a Power BI administratorScale up a Power BI solution for an enterprise via Power BI Premium capacityWho this book is for Business Intelligence professionals and intermediate Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book useful. An understanding of basic BI concepts is required and some familiarity with Microsoft Power BI will be helpful to make the most out of this book. |
data ai business analytics with power bi: CBSE Artificial Intelligence Class 7 Manish Soni, 2024-11-10 As we move deeper into the 21st century, the role of technology in our lives continues to expand at an unprecedented pace. Among the most transformative technologies of our time is Artificial Intelligence (AI), which is increasingly becoming a cornerstone of innovation in virtually every field. From healthcare and education to entertainment and transportation, AI shapes how we live, work, and interact with the world around us. For today’s students, understanding AI is not just an option—it’s a necessity. This textbook, meticulously crafted for Class 7 students under the CBSE curriculum, is an essential guide to navigating the fascinating and rapidly evolving world of Artificial Intelligence. The primary goal of this book is to understand AI, making it accessible and engaging for young learners. With its technical jargon and complex algorithms, AI can often seem intimidating. However, through this textbook, we have endeavoured to present AI in a clear, relatable, and intriguing. Each chapter is carefully designed to introduce fundamental concepts and principles of AI, ensuring that students not only understand the theoretical aspects but also see the practical relevance of AI in their everyday lives. Whether it’s exploring how AI helps power their favourite apps, understanding how it assists doctors in diagnosing diseases, or learning how it’s used to improve transportation systems, students will see first-hand how AI is woven into the fabric of modern society. We have incorporated various interactive elements throughout the book to make the learning experience more engaging and effective. These include hands-on activities, project-based learning opportunities, and thought-provoking exercises that encourage students to apply what they’ve learned creatively and innovatively. By working through these activities, students will deepen their understanding of AI and develop critical thinking, problem-solving, and analytical skills that are vital in the digital age. This textbook is more than just an introduction to AI—it’s a call to action. It invites students to be curious, experiment, ask questions, and explore AI's vast possibilities. By nurturing curiosity and creativity from a young age, we can empower students to become tomorrow's innovators, thinkers, and leaders. The journey into the world of AI is just beginning, and this book is your companion on that journey, guiding you as you discover, learn, and grow. As you embark on this exciting adventure into Artificial Intelligence, we encourage you to approach each chapter with an open mind and a spirit of exploration. Today’s learners are shaping the future, and we are excited to see the incredible things you will achieve as you dive into the world of AI. Remember, the knowledge you gain today is the foundation for the innovations of tomorrow. We sincerely thank educators, parents, and students who have made this journey possible. We hope this textbook will educate and inspire a passion for learning and a commitment to making the world a better place through the power of Artificial Intelligence. |
data ai business analytics with power bi: Intersection of AI and Business Intelligence in Data-Driven Decision-Making Natarajan, Arul Kumar, Galety, Mohammad Gouse, Iwendi, Celestine, Das, Deepthi, Shankar, Achyut, 2024-08-28 In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success. |
data ai business analytics with power bi: A.I. in 2020 Jair Ribeiro, 2021-01-05 This book collects the best articles about several artificial intelligence concepts that I have published online during 2020. It is dedicated to anyone interested in Artificial Intelligence and anyone who wants to understand some of the building blocks that form this fascinating technology. Here, you will find my best articles, updated and revisited, with some more insights, with a suitable format for book readers. The content of this book results from extensive research, long nights of studies, and some of my best years of work in the field in some prestigious enterprise companies in Europe. My goal is to share as much as possible through an affordable, simple, and straightforward language, valuable knowledge that helps you understanding complex topics related to technologies such as Machine Learning, Deep Learning, Analytics, and Autonomous Vehicles, among others. It is a satisfying adventure, I must say. Every day I receive considerably positive feedback, lots of article views, lots of likes, retweets, and more on my social networks and not less, some indications as a top writer, invitations to collaborate in some prestigious online publications. All this is truly motivating. I believe that life is complicated enough, so I consider that every time someone tries to simplify concepts and knowledge useful to humanity, this can be regarded as an essential contribution to inclusiveness and equity in the world. So, this is my mission. This book is not intended to exhaust all the learning needs of those wishing to enter the AI world. It is a starting point composed of some “scattered notes” that will help you put together some valuable pieces of technology's great mosaic. The articles presented here are very beneficial to provide you a practical introduction to some of the most important concepts that many of us face daily. They also will give you some pointers on how to go beyond the first step in search of much more. Just as Dante suggested: “You were not meant to live as ugly, but to seek virtue and knowledge.” |
data ai business analytics with power bi: Proceedings of IAC 2019 in Vienna Group of Authors, 2019-07-04 Scientific articles form: International Academic Conference on Teaching, Learning and E-learning International Academic Conference on Management, Economics and Marketing International Academic Conference on Engineering, Transport, IT and AI |
data ai business analytics with power bi: AI - The new intelligence in sales Livia Rainsberger, 2022-09-26 This book offers sales managers a quick overview of the possible applications of artificial intelligence in sales and explains basic functionalities. What is behind terms such as Sales Automation, Sales AI Analytics, Sales Enablement, Conversational AI, Lead Intelligence, Dynamic Pricing, Sales Management Intelligence and many more? Where is the concrete potential for sales organizations? And how will AI change the work in sales? The author presents the AI tools available on the market today and their application and describes the advantages and disadvantages as well as the limits and possibilities using clear examples. Executives in marketing and sales as well as entrepreneurs and managing directors, especially in medium-sized companies, will receive answers to the most important questions and additionally concrete recommendations for action for the implementation in their own companies. |
data ai business analytics with power bi: Holistic Approach to AI and Leadership Elsherif, Hesham Mohamed, 2024-06-06 In the current fast-paced digital era, incorporating Artificial Intelligence (AI) into leadership practices is a complex challenge. The ever-evolving technological landscape demands a new approach to leadership that embraces AI while upholding human-centric values. This convergence of AI and leadership necessitates innovative solutions to stay ahead in a competitive environment. The Holistic Approach to AI and Leadership offers more than just theory; it provides practical solutions for integrating AI into strategic vision. This comprehensive guide explores AI's impact on decision-making processes, training, and capacity building, addressing resistance and measuring ROI through real-world case studies and scenarios. Targeting a diverse audience, from top-tier executives and human resources professionals to AI developers and researchers, the book equips leaders with the knowledge to make informed decisions about AI integration. By emphasizing the enduring importance of human connection and ethical considerations, this approach ensures that technological advancements enhance, rather than overshadow, the human aspects of leadership, reshaping the modern management paradigm. |
data ai business analytics with power bi: AI Meets BI Lakshman Bulusu, Rosendo Abellera, 2020-11-03 With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI. |
data ai business analytics with power bi: Microsoft Power BI For Dummies Jack A. Hyman, 2022-02-08 Reveal the insights behind your company’s data with Microsoft Power BI Microsoft Power BI allows intuitive access to data that can power intelligent business decisions and insightful strategies. The question is, do you have the Power BI skills to make your organization’s numbers spill their secrets? In Microsoft Power BI For Dummies, expert lecturer, consultant, and author Jack Hyman delivers a start-to-finish guide to applying the Power BI platform to your own firm’s data. You’ll discover how to start exploring your data sources, build data models, visualize your results, and create compelling reports that motivate decisive action. Tackle the basics of Microsoft Power BI and, when you’re done with that, move on to advanced functions like accessing data with DAX and app integrations Guide your organization’s direction and decisions with rock-solid conclusions based on real-world data Impress your bosses and confidently lead your direct reports with exciting insights drawn from Power BI’s useful visualization tools It’s one thing for your company to have data at its disposal. It’s another thing entirely to know what to do with it. Microsoft Power BI For Dummies is the straightforward blueprint you need to apply one of the most powerful business intelligence tools on the market to your firm’s existing data. |
data ai business analytics with power bi: Data-Driven Business Intelligence Systems for Socio-Technical Organizations Keikhosrokiani, Pantea, 2024-04-09 The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers. |
data ai business analytics with power bi: Big Data Demystified David Stephenson, 2018-02-19 The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business. |
data ai business analytics with power bi: Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value Eric Anderson, Florian Zettelmeyer, 2020-11-23 Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data. |
data ai business analytics with power bi: Microsoft Big Data Solutions Adam Jorgensen, James Rowland-Jones, John Welch, Dan Clark, Christopher Price, Brian Mitchell, 2014-02-24 Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions. |
data ai business analytics with power bi: Mastering Business Intelligence (BI) Cybellium Ltd, Unleash the Power of Data with Mastering Business Intelligence (BI) In today's data-driven world, businesses rely on Business Intelligence (BI) to transform raw data into actionable insights. BI professionals are at the forefront of this revolution, enabling organizations to make informed decisions and gain a competitive edge. Mastering Business Intelligence (BI) is your comprehensive guide to excelling in the world of BI, providing you with the knowledge, skills, and strategies to become a data-savvy expert. Your Path to BI Excellence Business Intelligence is not just about collecting data; it's about turning it into meaningful information and driving strategic outcomes. Whether you're new to BI or an experienced professional aiming to sharpen your skills, this book will empower you to master the art of Business Intelligence. What You Will Discover BI Fundamentals: Gain a deep understanding of BI concepts, methodologies, and tools, from data warehousing to data visualization. Data Analysis: Dive into data analysis techniques, data modeling, and data manipulation to extract valuable insights from diverse datasets. Data Visualization: Learn the art of storytelling through data with effective data visualization and reporting techniques. BI Tools and Technologies: Explore popular BI tools like Tableau, Power BI, and QlikView, and discover how to leverage them for maximum impact. Data Governance and Ethics: Understand the importance of data governance, data quality, and ethical considerations in BI. Career Advancement: Explore career pathways in the BI field and learn how mastering BI can open doors to exciting job opportunities. Why Mastering Business Intelligence (BI) Is Essential Comprehensive Coverage: This book provides comprehensive coverage of BI topics, ensuring you have a well-rounded understanding of BI concepts and applications. Expert Guidance: Benefit from insights and advice from experienced BI professionals and industry experts who share their knowledge and best practices. Career Advancement: BI offers a wide range of career opportunities, and this book will help you unlock your full potential in this dynamic field. Stay Ahead: In a data-driven world, mastering BI is vital for staying competitive and contributing to data-driven decision-making. Your Journey to BI Mastery Begins Here Mastering Business Intelligence (BI) is your roadmap to excelling in the world of BI and advancing your career. Whether you aspire to be a BI analyst, data scientist, or BI consultant, this guide will equip you with the skills and knowledge to achieve your goals. Mastering Business Intelligence (BI) is the ultimate resource for individuals seeking to excel in the world of Business Intelligence. Whether you are new to BI or looking to enhance your skills, this book will provide you with the knowledge and strategies to become a data-savvy expert. Don't wait; begin your journey to BI mastery today! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
data ai business analytics with power bi: AI in the Social and Business World: A Comprehensive Approach Parul Dubey, Mangala Madankar, Pushkar Dubey, Kailash Kumar Sahu, 2024-10-15 AI in the Social and Business World: A Comprehensive Approach offers an in-depth exploration of the transformative impact of Artificial Intelligence (AI) across a wide range of sectors. This edited collection features 13 chapters, each penned by field experts, providing a comprehensive understanding of AI's theoretical foundations, practical applications, and societal implications. Each chapter offers strategic insights, case studies, and discussions on ethical considerations and future trends. Beginning with an overview of AI's historical evolution, the book navigates through its diverse applications in healthcare, social welfare, business intelligence, and more. Chapters systematically explore AI's role in enhancing healthcare delivery, optimizing business operations, and fostering social inclusion through innovative technologies like AI-based sign recognition and IoT in agriculture. With strategic insights, case studies, and discussions on ethical considerations and future trends, this book is a valuable resource for researchers, practitioners, and anyone interested in understanding AI's multifaceted influence. It is designed to foster informed discussions and strategic decisions in navigating the evolving landscape of AI in today's dynamic world. This book is an essential resource for researchers, practitioners, and anyone interested in understanding AI’s multifaceted influence across the social and business landscapes. |
data ai business analytics with power bi: AI-Powered Business Intelligence for Modern Organizations Natarajan, Arul Kumar, Galety, Mohammad Gouse, Iwendi, Celestine, Das, Deepthi, Shankar, Achyut, 2024-10-01 Technology’s rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more. |
data ai business analytics with power bi: The Complete Power BI Interview Guide Sandielly Ortega Polanco, Gogula Aryalingam, Abu Bakar Nisar Alvi, 2024-04-05 Build your career in data analytics with this ultimate guide to excelling as a Power BI professional Key Features Seize your dream job with expert guidance for interview preparation and valuable tips Navigate the hiring process confidently with a proven step-by-step approach Stand out from the competition by honing your technical skills and interview strategies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Complete Power Interview Guide helps you excel in a Power BI interview, secure desired roles, and be ready with the knowledge and skills to ace your role from the first day. Whether you're beginning your career journey or transitioning into a data analytics role, this guide offers hands-on skills and interview questions you need to succeed as a BI or data analyst. This book also offers supplemental content for PowerBI certification exams like PL-300. The book will equip you with the knowledge and strategies to effectively navigate the competitive job market. From creating an outstanding online professional profile to optimizing your resume and building a compelling work portfolio, you'll learn how to establish a strong personal brand. The essentials of Power BI, including data preparation, data modeling, DAX programming, expert report development, and impactful storytelling, are covered in-depth through real-world examples and valuable tips. By the end of this book, you'll have the confidence to interview for Power BI roles, navigate technical assessments, answer behavioral questions, and tackle case studies. You’ll have gained applied knowledge and the competitive edge needed to succeed in the data analytics job market and stay ahead of industry trends for career advancement.What you will learn Elevate your profile presentation with standout techniques Navigate the Power BI job market strategically for job-hunting success Cultivate essential soft skills for career growth Explore the complete analytics development cycle in Power BI Master key Power BI development concepts in core areas with carefully crafted hands-on demonstrations, case studies, and interview questions Gain insights into HR interviews, salary negotiations, and onboarding procedures Who this book is for This book is for data enthusiasts and professionals aspiring to secure interviews for roles such as data analyst, business intelligence analyst or developer, and Power BI-related positions. Whether you're new to the field or an experienced practitioner, this book provides valuable insights and strategies to enhance your Power BI skills and succeed in the hiring process. Basic knowledge of Power BI and data analytics, coupled with a drive to create impactful Power BI solutions with precise data insights, will help you make the most of this book. |
data ai business analytics with power bi: Confluence of Artificial Intelligence and Robotic Process Automation Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De, 2023-03-13 This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes. The target readers of this book are researchers, professors, graduate students, scientists, policymakers, professionals, and developers working in the IT and ITeS sectors, i.e. people who are working on emerging technologies. This book also provides insights and decision support tools necessary for executives concerned with different industrial and organizational automation-centric jobs, knowledge dissemination, information, and policy development for automation in different educational, government, and non-government organizations. This book is of special interest to college and university educators who teach AI, machine learning, blockchain, business intelligence, cognitive intelligence, and brain intelligence courses in different capacities. |
data ai business analytics with power bi: Essentials of Healthcare Analytics Prof. Dr. R Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij, 2024-08-28 In a world where data-driven decisions can lead to changes in the land in health care, Essentials of Healthcare Analytics is the unique source of how to leverage that data to deliver better care at a lower cost and with better margins. This book delves deep into the great yet critical role that analytics play in health care and looks forward to how the technologies, methodologies, and best practices in this field are set to have their future defined. It could entail such diverse topics as foundational concepts through advanced applications, data integration, predictive modeling, and real-time analytics. Learn how to leverage state-of-the-art tools such as Python and R in data analysis and find out how machine learning and AI have changed patient care, personalized medicine, and healthcare management. Whether you are a working professional in healthcare, a data analyst, or a student who seeks to break into such an exciting field, Essentials of Healthcare Analytics will prepare you with knowledge and the right skill set to negotiate the complexities of healthcare through data and make this knowledge actionable for informed decisions. Embrace the future of healthcare with the deep understanding of how analytics can drive your organization towards innovation and efficiency. |
data ai business analytics with power bi: Microsoft Certified Exam guide - Power Platform Fundamentals (PL-900) Cybellium Ltd, Unlock the Power of the Microsoft Power Platform! Are you ready to embark on a journey into the dynamic world of Microsoft's Power Platform? Look no further than the Microsoft Certified Exam Guide - Power Platform Fundamentals (PL-900). This comprehensive book is your essential companion on the path to mastering the fundamentals of the Power Platform and acing the PL-900 exam. In today's rapidly evolving business landscape, organizations seek to empower their employees to create solutions and automate workflows. Microsoft's Power Platform, comprising Power Apps, Power Automate, Power BI, and Power Virtual Agents, is at the forefront of this revolution. Whether you're a business professional, an aspiring developer, or an IT enthusiast, this book equips you with the knowledge and skills needed to leverage the Power Platform's capabilities. Inside this book, you will discover: ✔ Comprehensive Coverage: A detailed exploration of all the key components and capabilities of the Power Platform, ensuring you have a solid understanding of its potential. ✔ Real-World Scenarios: Practical examples and case studies that showcase how the Power Platform is used to solve real business challenges, making learning both engaging and relevant. ✔ Exam-Ready Preparation: Thorough coverage of PL-900 exam objectives, along with practice questions and expert tips to ensure you're fully prepared for the test. ✔ Proven Expertise: Authored by Power Platform experts who hold the certification and have hands-on experience in building solutions, offering you valuable insights and practical wisdom. Whether you aspire to enhance your skills, advance your career, or simply master the Power Platform, Microsoft Certified Exam Guide - Power Platform Fundamentals (PL-900) is your trusted companion on this journey. Don't miss this opportunity to become a proficient Power Platform user in a competitive job market. Prepare, practice, and succeed with the ultimate resource for PL-900 certification. Order your copy today and unlock a world of possibilities with the Microsoft Power Platform! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
data ai business analytics with power bi: Guaranteed Jackpot: How to Use AI Like a Broken Slot Machine Vince "The Ace" Romano, 2024-08-08 Alright, listen up. You’ve hit the motherlode with this one. Guaranteed Jackpot: How to Use AI Like a Broken Slot Machine is your all-access pass to turning every move into a win with the unstoppable power of artificial intelligence. Picture yourself in Vegas, pulling that lever and watching the coins spill out every single time. Now, replace that slot machine with AI, and every click, every input is a guaranteed jackpot. This book is your guide to making it happen. We kick things off in the glitzy world of Las Vegas, setting the stage with a story that'll hook you right in. It’s that eureka moment when the lightbulb goes off, and you realize AI is your broken slot machine, always rigged in your favor. You'll dive into the fascinating world of AI, breaking down complex concepts into simple, actionable strategies. We’re talking about real-world applications and how you can use AI to transform your life and business. Imagine harnessing AI for writing, marketing, and content creation, making your efforts more efficient and more effective. We’ve got NVIDIA, the big kahuna in AI processing. Learn how their GPUs are powering the next generation of AI, with case studies from industries that are leveraging this technology to redefine what’s possible. Then there’s OpenAI, the brains behind ChatGPT. Discover the groundbreaking research and real-world applications that make ChatGPT a game-changer. You'll get a detailed look at Wondercraft AI, a powerhouse that transforms text into high-quality podcasts, perfect for those looking to expand their content reach. StoryChief AI steps up the game with comprehensive content creation capabilities, helping you generate articles, social media posts, and maintain a consistent brand voice. Writesonic and Rytr come into play with their content generation magic, from blog posts to social media snippets. MarketMuse will show you how to build SEO-driven content outlines, ensuring your material ranks high and stays relevant. Beautiful.ai takes care of your presentation needs, making sure your visuals are as compelling as your content. Phrasee optimizes your marketing messages, ensuring every communication hits the mark. Grammarly steps in to refine your text, making sure everything you put out is polished and professional. And for those looking to add a visual punch, DALL-E and Midjourney offer state-of-the-art AI-generated art, transforming text into stunning visuals. Heyday enhances customer service with AI-driven recommendations, while Cleanvoice ensures your audio content is crystal clear. Vidyo helps you repurpose long-form content into engaging short videos, perfect for platforms like YouTube and TikTok. Beatoven provides royalty-free music, tailored to boost user engagement with custom tracks. We revisit StoryChief AI and OwlyWriter AI, diving deeper into their advanced features and new success stories. Kajabi AI Creator Hub is your go-to for developing online courses, turning your expertise into marketable digital products. Looking ahead, we explore future trends in AI, giving you insights into emerging technologies and how to stay ahead of the curve. Ethical considerations and final thoughts round out the book, ensuring you balance innovation with responsibility. Guaranteed Jackpot isn’t just a book; it’s your playbook for success. With Vince The Ace Romano as your guide, you’re not just playing the game—you’re rewriting the rules. Every spin is a win, every move a masterstroke. Get ready to hit the jackpot, guaranteed. Capisce? |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …