| business intelligence and data analytics bac: Business Analysis for Business Intelligence Bert Brijs, 2016-04-19 Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and |
| business intelligence and data analytics bac: Business Intelligence Ramesh Sharda, Dursun Delen, Efraim Turban, 2017-01-13 For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice. |
| business intelligence and data analytics bac: Agile Analytics Ken Collier, 2012 Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve back-end data management, front-end business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way. |
| business intelligence and data analytics bac: Business Intelligence Carlo Vercellis, 2011-08-10 Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide. |
| business intelligence and data analytics bac: Business Intelligence and Analytics Ramesh Sharda, Efraim Turban, Dursun Delen, 2014-02-28 Decision Support and Business Intelligence Systems provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making. The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book. |
| business intelligence and data analytics bac: Big Data, Big Analytics Michael Minelli, Michele Chambers, Ambiga Dhiraj, 2013-01-22 Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more. |
| business intelligence and data analytics bac: Video Analytics for Business Intelligence Caifeng Shan, Fatih Porikli, Tao Xiang, Shaogang Gong, 2012-04-07 Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice. |
| business intelligence and data analytics bac: Data Analysis for Business, Economics, and Policy Gábor Békés, Gábor Kézdi, 2021-05-06 A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data. |
| business intelligence and data analytics bac: Applied Business Analytics Nathaniel Lin, 2015 Now that you've collected the data and crunched the numbers, what do you do with all this information? How do you take the fruit of your analytics labor and apply it to business decision making? How do you actually apply the information gleaned from quants and tech teams? Applied Business Analytics will help you find optimal answers to these questions, and bridge the gap between analytics and execution in your organization. Nathaniel Lin explains why analytics value chains often break due to organizational and cultural issues, and offers in the trenches guidance for overcoming these obstacles. You'll learn why a special breed of analytics deciders is indispensable for any organization that seeks to compete on analytics; how to become one of those deciders; and how to identify, foster, support, empower, and reward others who join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at every level: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ -- and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer |
| business intelligence and data analytics bac: Analytics and Data Science Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones, 2017-10-05 This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science. |
| business intelligence and data analytics bac: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
| business intelligence and data analytics bac: Data Analytics and Business Intelligence Vincent Charles, Pratibha Garg, Neha Gupta, Mohini Agarwal, 2023-06-15 Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others. BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage. |
| business intelligence and data analytics bac: Business Intelligence Guidebook Rick Sherman, 2014-11-04 Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. |
| business intelligence and data analytics bac: Computational Intelligence Applications in Business Intelligence and Big Data Analytics Vijayan Sugumaran, Arun Kumar Sangaiah, Arunkumar Thangavelu, 2017-06-26 There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book. |
| business intelligence and data analytics bac: Healthcare Business Intelligence Laura Madsen, 2012 This book will be constructed as a guidebook for healthcare organizations that are attempting BI/DW. It will address the primary functions of a business intelligence capability and how BI can ease the increasing regulatory reporting pressures on all healthcare organizations. Also included will be tables, checklists and a few forms. Tenative chapter contents: Chapter 1: What is Healthcare BI? Chapter 2: The Five Disciplines of Business Intelligence Chapter 3: The Importance of ETL Chapter 4: Starting with Data Governance Chapter 5: Creating a BI team Chapter 6: Data Modeling for Healthcare Chapter 7: Gaining Support for your BI program Chapter 8: Ensuring good User Adoption Chapter 9: Marketing Your BI Program Chapter 10: Maintaining Your BI Program-- |
| business intelligence and data analytics bac: Business Intelligence Mohamed Fakir, Mohamed Baslam, Rachid El Ayachi, 2021-05-15 This book constitutes the proceedings of the 6th International Conference on Business Intelligence, CBI 2021, which took place in Beni Mellal, Morocco, during May 27-29, 2021. The 26 full and 6 poster papers included in this book were carefully reviewed and selected from a total of 60 submissions. They were organized in topical sections as follows: decision support, information systems and NLP; big data, datamining, Web services and Web semantics; optimization and decision support; signal, image and vision computing; networking, cloud computing and networking architectures in cloud. |
| business intelligence and data analytics bac: Big Data Analytics for Business Intelligence N. Ayyanathan , Gufran Ahmad Ansari, Venkatesan Selvam, To introduce the concepts of Big data Analytics for business intelligence and predictive modeling for SMART tourism product design in the Indian tourism industry. Quantitative literature survey of the contemporary research topics and application of technologies in SMART tourism analytics. To apply the Big Data analytics and Business Intelligence concepts in the Indian tourism industry and discuss the related case studies covering various subtopics of exclusive destination branding and Market intelligence for knowledge discovery. To evolve Big Data strategy for the specific tourism product design and respective data extraction, transformation, and loading data in the Business Intelligence and data mining tools. To create attractive dashboards for SMART tourism application using storyboarding and Human-Computer Interaction techniques. Visualization techniques for descriptive data analytics and business insights. Intelligent Decision support system for Tourism destination choice. |
| business intelligence and data analytics bac: Business Intelligence and Big Data Celina M. Olszak, 2020-11-17 The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success. |
| business intelligence and data analytics bac: Business Analytics for Managers Gert Laursen, Jesper Thorlund, 2010-07-13 While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business. |
| business intelligence and data analytics bac: A Guide to the Business Analysis Body of Knowledger International Institute of Business Analysis, IIBA, 2009 The BABOK Guide contains a description of generally accepted practices in the field of business analysis. Recognised around the world as a key tool for the practice of business analysis and has become a widely-accepted standard for the profession. |
| business intelligence and data analytics bac: Business Intelligence and Data Warehousing Simplified Arshad Khan, 2012 This book targets business and IT professionals who need an introduction to business intelligence and data warehousing fundamentals through a simple question / answer format. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, trends, etc. |
| business intelligence and data analytics bac: Business Intelligence Ramesh Sharda, Dursun Delen, Efraim Turban, 2014 Includes bibliographical references and index |
| business intelligence and data analytics bac: Business Intelligence for the Enterprise Mike Biere, 2003 This text aims to help you to maximize the potential of Business Intelligence in your organization. It includes stories of companies that implemented BI - those that have succeeded and those that have failed. |
| business intelligence and data analytics bac: The Support of Decision Processes with Business Intelligence and Analytics Martin Kowalczyk, 2017-08-22 In his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual perspectives of BI&A support in decision processes. The organizational perspective considers the processual aspects of decision making and addresses process phases, roles and their interactions. The individual perspective reflects upon decision making of human individuals including their cognition and behaviors involved in decision making. The support of managerial decision making with BI&A gains increasing priority for many businesses in their desire to achieve better decision outcomes and improved organizational performance. |
| business intelligence and data analytics bac: Enterprise Business Intelligence and Data Warehousing Alan Simon, 2014-11-24 Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the Enterprise BI/DW Program Manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the Enterprise Program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing. Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing. |
| business intelligence and data analytics bac: Business Intelligence: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2015-12-29 Data analysis is an important part of modern business administration, as efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Business Intelligence: Concepts, Methodologies, Tools, and Applications presents a comprehensive examination of business data analytics along with case studies and practical applications for businesses in a variety of fields and corporate arenas. Focusing on topics and issues such as critical success factors, technology adaptation, agile development approaches, fuzzy logic tools, and best practices in business process management, this multivolume reference is of particular use to business analysts, investors, corporate managers, and entrepreneurs in a variety of prominent industries. |
| business intelligence and data analytics bac: Business Intelligence and Human Resource Management Deepmala Singh, Anurag Singh, Amizan Omar, SB Goyal, 2022-08-31 Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students. |
| business intelligence and data analytics bac: The New Era of Enterprise Business Intelligence Mike Biere, 2010-08-15 A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise. This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data. Coverage includes Understanding the scope of today’s BI solutions and how they fit into existing infrastructure Assessing new options such as SaaS and cloud-based technologies Avoiding technology biases and other “project killers” Developing effective RFIs/RFPs and proofs of concept Setting up competency centers and planning for skills development Crafting a better experience for all your business users Supporting the requirements of senior executives, including performance management Cost-justifying BI solutions and measuring success Working with enterprise content management, text analytics, and search Planning and constructing portals, mashups, and other user interfaces Previewing the future of BI |
| business intelligence and data analytics bac: Oracle Business Intelligence and Essbase Solutions Guide Rosendo Abellera, Lakshman Bulusu, 2016-11-30 This book highlights the practical aspects of using Oracle Essbase and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. It explains the key steps involved in Oracle Essbase and OBIEE implementations. Using case studies, the book covers Oracle Essbase for analytical BI and data integration, using OBIEE for operational BI including presentation services and BI Publisher for real-time reporting services, Self-service BI– in terms of VLDB, scalability, high performance, stability, long-lasting and ease of use that saves time, effort, and costs, while maximizing ROI. |
| business intelligence and data analytics bac: Business Intelligence Jerzy Surma, 2011-03-06 This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration. |
| business intelligence and data analytics bac: The Performance Management Revolution Howard Dresner, 2007-10-16 The Performance Management Revolution shows you how your business can get prepared for the future—transforming strategies into plans, plans into actions, and actions into results. Written by Howard Dresner, a worldwide authority in the area of business intelligence and performance management, this lucid book offers great insight into strategies that any company interested in improving its business performance and accountability could adopt. This visionary book provides an intelligent framework toward the path to better performance through insight and action. |
| business intelligence and data analytics bac: Business Intelligence Competency Centers Gloria J. Miller, Dagmar Bräutigam, Stefanie V. Gerlach, 2006-05-11 Transform data into action for competitive advantage The knowledge assets of an organization are becoming increasingly important for competitive advantage, and therefore, the way in which knowledge is created, renewed, and communicated is critical. This book provides practical insights into how this may be achieved through the establishment of a Business Intelligence Competency Centre and is a valuable read for 'information professionals.' --Bill Sturman, Information Architecture Project Manager The Open University, United Kingdom BI is more than technology and projects. BI must live in the organization--as a BICC. This book helps to make BI tangible and understandable, bringing it to life. --Miriam Eisenmann, Project Manager (PMP) CSC Ploenzke AG, Germany This book is a must-read for planning and implementing your BICC. It is a pragmatic guide that addresses a lot, if not all, of the questions you'll be asking yourself. Don't miss out on getting a head start from the people who thought this through from start to finish . . . Pray your competitors don't get hold of this book! --Claudia Imhoff, President Intelligent Solutions, Inc., USA Creating a BICC forces the organization to focus on the importance of centralizing the gathering, interpreting, and analyzing of information to create business insight. --Anne Ulyate, Group Manager Business Intelligence Mutual & Federal, South Africa BI is a highly visible element in the 'business value' trend for IT investments. Initiatives, such as competency centers, should empower user organizations to drive even more value out of their BI investments. --Marianne Kolding, Director, European ServicesIDC, United Kingdom |
| business intelligence and data analytics bac: E-Business Intelligence Bernard Liautaud, 2001 Publisher Fact Sheet How to leverage corporate information for reduced costs & increased profits. |
| business intelligence and data analytics bac: Business Intelligence Roadmap Larissa Terpeluk Moss, S. Atre, 2003 This software will enable the user to learn about business intelligence roadmap. |
| business intelligence and data analytics bac: Business Intelligence, Reprint Edition Stacia Misner, Michael Luckevich, Elizabeth Vitt, 2008-12-10 “This readable, practical book helps business people quickly understand what business intelligence is, how it works, where it's used, and why and when to use it—all illustrated by real case studies, not just theory.” Nigel Pendse Author of The OLAP Report www.olapreport.com So much information, so little time. All too often, business data is hard to get at and use—thus slowing decision-making to a crawl. This insightful book illustrates how organizations can make better, faster decisions about their customers, partners, and operations by turning mountains of data into valuable business information that’s always at the fingertips of decision makers. You’ll learn what’s involved in using business intelligence to bring together information, people, and technology to create successful business strategies—and how to execute those strategies with confidence. Topics covered include: THE BUSINESS INTELLIGENCE MINDSET: Discover the basics behind business intelligence, such as how it’s defined, why and how to use it in your organization, and what characteristics, components, and general architecture most business intelligence solutions share. THE CASE FOR BUSINESS INTELLIGENCE: Read how world leaders in finance, manufacturing, and retail have successfully implemented business intelligence solutions and see what benefits they have reaped. THE PRACTICE OF BUSINESS INTELLIGENCE: Find out what’s involved in implementing a business intelligence solution in your organization, including how to identify your business intelligence opportunities, what decisions you must make to get a business intelligence project going, and what to do to sustain the momentum so that you can continue to make sense of all the data you gather. |
| business intelligence and data analytics bac: Unstructured Data Analytics Jean Paul Isson, 2018-03-02 Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis. |
| business intelligence and data analytics bac: Data Analytics for Business Wolfgang Garn, 2024-04-30 We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material. This book is appropriate for master students but can be used for undergraduate students. Practitioners will also benefit from the readily available tools. The material was especially designed for Business Analytics degrees with a focus on Data Science and can also be used for machine learning or artificial intelligence classes. This entry-level book is ideally suited for a wide range of disciplines wishing to gain actionable data insights in a practical manner. |
| business intelligence and data analytics bac: Business Intelligence Rajiv Sabherwal, Irma Becerra-Fernandez, 2013-02-19 Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed. |
| business intelligence and data analytics bac: Integration of Data Mining in Business Intelligence Systems Azevedo, Ana, 2014-09-30 Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems. |
| business intelligence and data analytics bac: Business Intelligence Career Master Plan Eduardo Chavez, Danny Moncada, 2023-08-31 Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBook Key Features Identify promising job opportunities and ideal entry point into BI Build, design, implement, and maintain BI systems successfully Ace your BI interview with author's expert guidance on certifications, trainings, and courses Book DescriptionNavigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.What you will learn Understand BI roles, roadmap, and technology stack Accelerate your career and land your first job in the BI industry Build the taxonomy of various data sources for your organization Use the AdventureWorks database and PowerBI to build a robust data model Create compelling data stories using data visualization Automate, templatize, standardize, and monitor systems for productivity Who this book is for This book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial. |
BAC Computing and Information Systems Department …
BAC Computing and Information Systems Department Programmes Handbook SCIS 3/31/2020
Profile - www.ssi.army.mil
Analyzing Data in Excel, Decision Modeling and Optimization in Excel, SAP NetWeaver Business Warehouse, and SAP Business Explorer. Successful graduates of this course will earn 40 …
Business Intelligence and Analytics
Data Analytics: The Ultimate Beginner's Guide to Data Analytics Paperback – 12 November 2017by Edward Mize. Web links and Video Lectures (e-Resources): …
Business Intelligence And Data Analytics Bac
using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis …
BUSINESS INTELLIGENCE, ANALYTICS, AND DATA SCIENCE:
Chapter I An Overview of Business Intelligence, Analytics, and Data Science 3 1.1 OPENING VIGNETTE: Sports Analytics—An Exciting Frontier for Learning and Understanding …
Business Intelligence And Data Analytics Bac (Download Only)
data warehousing and data analytics to support business decision making This book progresses through a logical sequence starting with data model infrastructure then data preparation …
Course: Fundamentals of Business Intelligence and Data …
Individuals aspiring to enter the field of data analytics, leverage data to maximize company performance or start their learning journey towards understanding data science and its …
Business Intelligence, Analytics, and Data Science
Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition, Pearson Changing Business Environments and Evolving Needs for Decision Support
Profile - finance.army.mil
Business Intelligence (BI) environment. Topics include: SAP Crystal Reports , Manipulating and Analyzing Data in Excel, Decision Modeling and Optimization in Excel, SAP BI1, SAP …
BUSINESS ANALYTICS CERTIFICATE - formacioncca.com
Dará a conocer cómo es la arquitectura de un sistema de Business Intelligence (BI), qué son las fuentes de datos, en qué consiste el ETL, qué es el Data Warehouse o almacén de datos, en …
Business Intelligence: Data Analysis and Reporting Techniques
BI refers to the suite of technologies, tools, and practices enabling organizations to transform raw data into actionable insights. Participants will delve into BI methodologies, tools, and best …
Business Intelligence And Data Analytics Bac (book)
Business Intelligence And Data Analytics Bac: Business Intelligence Ramesh Sharda,Dursun Delen,Efraim Turban,2017-01-13 For courses on Business Intelligence or Decision Support …
Business Intelligence And Data Analytics Bac (Download Only)
Business Intelligence And Data Analytics Bac: Business Intelligence Ramesh Sharda,Dursun Delen,Efraim Turban,2017-01-13 For courses on Business Intelligence or Decision Support …
Unit 1 Introduction to Business Analytics What is business …
How business analytics works Before any data analysis takes place, BA starts with several foundational processes: • Determine the business goal of the analysis. • Select an analysis …
Business Intelligence, Analytics, and Data Science
This edition of the text provides a managerial perspective to business analytics con-tinuum beginning with descriptive analytics (e.g., the nature of data, statistical modeling, data …
Business Intelligence And Data Analytics Bac - old.icapgen.org
data warehousing and data analytics to support business decision making This book progresses through a logical sequence starting with data model infrastructure then data preparation …
INFORMATION TECHNOLOGY UPDATE
AGGIE ANALYTICS DATA CERTIFICATION TEAM Information Technology Update 6 Membership •Registrar’s Office •Financial Aid •Human Resources •Business & Finance …
DATA SCIENCE& ANALYTICS, B.A.
TheBobcatAdvisingCenter(BAC) istheacademicadvisinghomefor ... DATA SCIENCE& ANALYTICS, B.A. EMPHASIS TRACKS NoEmphasis BusinessAnalytics PolicyAnalytics …
Business Intelligence And Data Analytics Bac (PDF)
Horne,2020-01-31 Implement business intelligence BI data modeling and data analytics within Microsoft products such as Power BI SQL Server and Excel Key FeaturesUnderstand the ins …
Business Intelligence And Data Analytics Bac (2024)
understanding business intelligence systems To help future managers use and understand analytics Business Intelligence provides students with a solid foundation of BI that is reinforced …
BAC Computing and Information Systems Department …
BAC Computing and Information Systems Department Programmes Handbook SCIS 3/31/2020
Profile - www.ssi.army.mil
Analyzing Data in Excel, Decision Modeling and Optimization in Excel, SAP NetWeaver Business Warehouse, and SAP Business Explorer. Successful graduates of this course will earn 40 hours of …
Business Intelligence and Analytics
Data Analytics: The Ultimate Beginner's Guide to Data Analytics Paperback – 12 November 2017by Edward Mize. Web links and Video Lectures (e-Resources): …
Business Intelligence And Data Analytics Bac
using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build …
BUSINESS INTELLIGENCE, ANALYTICS, AND DATA …
Chapter I An Overview of Business Intelligence, Analytics, and Data Science 3 1.1 OPENING VIGNETTE: Sports Analytics—An Exciting Frontier for Learning and Understanding Applications …
Business Intelligence And Data Analytics Bac (Download …
data warehousing and data analytics to support business decision making This book progresses through a logical sequence starting with data model infrastructure then data preparation …
Course: Fundamentals of Business Intelligence and Data …
Individuals aspiring to enter the field of data analytics, leverage data to maximize company performance or start their learning journey towards understanding data science and its potential …
Business Intelligence, Analytics, and Data Science
Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition, Pearson Changing Business Environments and Evolving Needs for Decision Support
Profile - finance.army.mil
Business Intelligence (BI) environment. Topics include: SAP Crystal Reports , Manipulating and Analyzing Data in Excel, Decision Modeling and Optimization in Excel, SAP BI1, SAP NetWeaver...
BUSINESS ANALYTICS CERTIFICATE - formacioncca.com
Dará a conocer cómo es la arquitectura de un sistema de Business Intelligence (BI), qué son las fuentes de datos, en qué consiste el ETL, qué es el Data Warehouse o almacén de datos, en qué …
Business Intelligence: Data Analysis and Reporting Techniques
BI refers to the suite of technologies, tools, and practices enabling organizations to transform raw data into actionable insights. Participants will delve into BI methodologies, tools, and best …
Business Intelligence And Data Analytics Bac (book)
Business Intelligence And Data Analytics Bac: Business Intelligence Ramesh Sharda,Dursun Delen,Efraim Turban,2017-01-13 For courses on Business Intelligence or Decision Support …
Business Intelligence And Data Analytics Bac (Download …
Business Intelligence And Data Analytics Bac: Business Intelligence Ramesh Sharda,Dursun Delen,Efraim Turban,2017-01-13 For courses on Business Intelligence or Decision Support …
Unit 1 Introduction to Business Analytics What is business …
How business analytics works Before any data analysis takes place, BA starts with several foundational processes: • Determine the business goal of the analysis. • Select an analysis …
Business Intelligence, Analytics, and Data Science
This edition of the text provides a managerial perspective to business analytics con-tinuum beginning with descriptive analytics (e.g., the nature of data, statistical modeling, data …
Business Intelligence And Data Analytics Bac
data warehousing and data analytics to support business decision making This book progresses through a logical sequence starting with data model infrastructure then data preparation …
INFORMATION TECHNOLOGY UPDATE
AGGIE ANALYTICS DATA CERTIFICATION TEAM Information Technology Update 6 Membership •Registrar’s Office •Financial Aid •Human Resources •Business & Finance •Admissions …
DATA SCIENCE& ANALYTICS, B.A.
TheBobcatAdvisingCenter(BAC) istheacademicadvisinghomefor ... DATA SCIENCE& ANALYTICS, B.A. EMPHASIS TRACKS NoEmphasis BusinessAnalytics PolicyAnalytics Environmentaland ...
Business Intelligence And Data Analytics Bac (PDF)
Horne,2020-01-31 Implement business intelligence BI data modeling and data analytics within Microsoft products such as Power BI SQL Server and Excel Key FeaturesUnderstand the ins and …
Business Intelligence And Data Analytics Bac (2024)
understanding business intelligence systems To help future managers use and understand analytics Business Intelligence provides students with a solid foundation of BI that is reinforced with hands …
