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| business analytics training and placement: Business Analytics Sanjiv Jaggia, Alison Kelly (Professor of economics), Kevin Lertwachara, Leida Chen, 2023 We wrote Business Analytics: Communicating with Numbers from the ground up to prepare students to understand, manage, and visualize the data; apply the appropriate analysis tools; and communicate the findings and their relevance. The text seamlessly threads the topics of data wrangling, descriptive analytics, predictive analytics, and prescriptive analytics into a cohesive whole. In the second edition of Business Analytics, we have made substantial revisions that meet the current needs of the instructors teaching the course and the companies that require the relevant skillset. These revisions are based on the feedback of reviewers and users of our first edition. The greatly expanded coverage of the text gives instructors the flexibility to select the topics that best align with their course objectives-- |
| business analytics training and placement: The Business Analyst's Handbook Howard Podeswa, 2009 One of the objectives of this book is to incorporate best practices and standards in to the BA role. While a number of standards and guidelines, such as Business Process Modeling Notation (BPMN), have been incorporated, particular emphasis has been placed on the Business Analysis Body of Knowledge (BABOK), the Information Technology Infrastructure Library (ITIL), and the Unified Modeling Language (UML). |
| business analytics training and placement: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| business analytics training and placement: Guide to Business Data Analytics Iiba, 2020-08-07 The Guide to Business Data Analytics provides a foundational understanding of business data analytics concepts and includes how to develop a framework; key techniques and application; how to identify, communicate and integrate results; and more. This guide acts as a reference for the practice of business data analytics and is a companion resource for the Certification in Business Data Analytics (IIBA(R)- CBDA). Explore more information about the Certification in Business Data Analytics at IIBA.org/CBDA. About International Institute of Business Analysis International Institute of Business Analysis(TM) (IIBA(R)) is a professional association dedicated to supporting business analysis professionals deliver better business outcomes. IIBA connects almost 30,000 Members, over 100 Chapters, and more than 500 training, academic, and corporate partners around the world. As the global voice of the business analysis community, IIBA supports recognition of the profession, networking and community engagement, standards and resource development, and comprehensive certification programs. IIBA Publications IIBA publications offer a wide variety of knowledge and insights into the profession and practice of business analysis for the entire business community. Standards such as A Guide to the Business Analysis Body of Knowledge(R) (BABOK(R) Guide), the Agile Extension to the BABOK(R) Guide, and the Global Business Analysis Core Standard represent the most commonly accepted practices of business analysis around the globe. IIBA's reports, research, whitepapers, and studies provide guidance and best practices information to address the practice of business analysis beyond the global standards and explore new and evolving areas of practice to deliver better business outcomes. Learn more at iiba.org. |
| business analytics training and placement: Business analyst: a profession and a mindset Yulia Kosarenko, 2019-05-12 What does it mean to be a business analyst? What would you do every day? How will you bring value to your clients? And most importantly, what makes a business analyst exceptional? This book will answer your questions about this challenging career choice through the prism of the business analyst mindset — a concept developed by the author, and its twelve principles demonstrated through many case study examples. Business analyst: a profession and a mindset is a structurally rich read with over 90 figures, tables and models. It offers you more than just techniques and methodologies. It encourages you to understand people and their behaviour as the key to solving business problems. |
| business analytics training and placement: Guide to Product Ownership Analysis Iiba, 2021-05-13 Product Ownership Analysis (POA) is a discipline that can be used to assist teams in creating and delivering exceptional products and services for their customers. The Guide to Product Ownership Analysis provides a foundational understanding of the Product Ownership Analysis discipline and outlines a defined framework, techniques, and case studies for practical application. Look for the Certification for POA at IIBA.org. |
| business analytics training and placement: Business Analytics Jay Liebowitz, 2013-12-19 Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making cap |
| business analytics training and placement: Business Analytics Balram Krishan, Vivek Bhambri, Babita Chopra, It has been rightly said that people who can't see the value in data mining as a concept either don't have the data or don't have data with integrity. This book has been designed as a basic text book for computer Science and management students at post Graduation and under graduation levels. it explains the technical concepts of this hot area in simple and easily understandable language. It covers the complete syllabus of MCA, B.Tech courses of Punjabi University, Punjab University, Punjab Technical University and many other major universities. |
| business analytics training and placement: Data Analytics for Accounting Vernon J. Richardson, Ryan Teeter, Katie L. Terrell, 2018-05-23 |
| business analytics training and placement: BIAN Foundation Certification Courseware Ingrid Stap, Raymond Slot, 2019-09-09 Besides the BIAN Foundation Certification Courseware (ISBN: 9789401804721) publication you are advised to obtain the publication BIAN Edition 2019 – A framework for the financial services industry (ISBN: 9789401803151). This is the official courseware for accredited BIAN Foundation training. Intended for professionals that aim to pass the BIAN Foundation Exam. The BIAN Foundation Exam is the exam for official BIAN Foundation level certification by the Banking Industry Architecture Network and is carried out by Van Haren Learning Solutions. The BIAN Foundation Certification Exam is to test the delegate’s knowledge about the BIAN standard. This is the common framework for banking interoperability issues. By successfully passing the BIAN Foundation Exam delegates will achieve the BIAN Foundation level certification which ensures that they have been audited and have successfully mastered the required BIAN Foundation level. This includes their ability to describe and recognize certain knowledge about BIAN such as: the benefits BIAN provides to financial services providers, the BIAN design principles and artefacts, the abilities to reduce integration cost and maximize interoperability. The BIAN certification exam is intended for professionals in the financial services industry such as: enterprise- and solution architects, consultants, that all operate in the financial services industry. Key Benefits • This certification qualifies professionals and demonstrates their knowledge of BIAN • It is necessary for professionals to have this basic knowledge in order to model a bank to the BIAN standard • It qualifies professionals in the financial services industry to demonstrate that they • have the proper understanding of the standards in architecture required for financial organizations. Number of questions: 60 Duration(minute) of exam: 60 min. Pass Mark – X% (X marks): 70% Open/Closed book: closed Language: English Paper based & online availability: online availability |
| business analytics training and placement: The PMI Guide to Business Analysis , 2017-12-22 The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge. |
| business analytics training and placement: Business Analysis Steven P. Blais, 2011-11-08 The definitive guide on the roles and responsibilities of the business analyst Business Analysis offers a complete description of the process of business analysis in solving business problems. Filled with tips, tricks, techniques, and guerilla tactics to help execute the process in the face of sometimes overwhelming political or social obstacles, this guide is also filled with real world stories from the author's more than thirty years of experience working as a business analyst. Provides techniques and tips to execute the at-times tricky job of business analyst Written by an industry expert with over thirty years of experience Straightforward and insightful, Business Analysis is a valuable contribution to your ability to be successful in this role in today's business environment. |
| business analytics training and placement: Predictive Analytics for Business Strategy Jeff Prince, 2018 Reasoning with data -- Reasoning from sample to population -- The scientific method : the gold standard for establishing causality -- Linear regression as a fundamental descriptive tool -- Correlation vs. causality in regression analysis -- Basic methods for establishing causal inference -- Advanced methods for establishing causal inference -- Prediction for a dichotomous variable -- Identification and data assessment -- Applications data analysis critiques, write-ups, and projects -- Glossary |
| business analytics training and placement: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| business analytics training and placement: Computational Intelligence, Communications, and Business Analytics Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta, 2019-06-25 The two volume set CCIS 1030 and 1031 constitutes the refereed proceedings of the Second International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2018, held in Kalyani, India, in July 2018. The 76 revised full papers presented in the two volumes were carefully reviewed and selected from 240 submissions. The papers are organized in topical sections on computational intelligence; signal processing and communications; microelectronics, sensors, and intelligent networks; data science & advanced data analytics; intelligent data mining & data warehousing; and computational forensics (privacy and security). |
| business analytics training and placement: Sales Engagement Manny Medina, Max Altschuler, Mark Kosoglow, 2019-03-12 Engage in sales—the modern way Sales Engagement is how you engage and interact with your potential buyer to create connection, grab attention, and generate enough interest to create a buying opportunity. Sales Engagement details the modern way to build the top of the funnel and generate qualified leads for B2B companies. This book explores why a Sales Engagement strategy is so important, and walks you through the modern sales process to ensure you’re effectively connecting with customers every step of the way. • Find common factors holding your sales back—and reverse them through channel optimization • Humanize sales with personas and relevant information at every turn • Understand why A/B testing is so incredibly critical to success, and how to do it right • Take your sales process to the next level with a rock solid, modern Sales Engagement strategy This book is essential reading for anyone interested in up-leveling their game and doing more than they ever thought possible. |
| business analytics training and placement: 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 analytics training and placement: 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 |
| business analytics training and placement: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| business analytics training and placement: The Consulting Bible Alan Weiss, 2011-04-05 Everything you need to know about building a successful, world-class consulting practice Whether you are a veteran consultant or new to the industry, an entrepreneur or the principal of a small firm, The Consulting Bible tells you absolutely everything you need to know to create and expand a seven-figure independent or boutique consulting practice. Expert author Alan Weiss, who coaches consultants globally and has written more books on solo consulting than anyone in history, shares his expertise comprehensively. Learn and appreciate the origins and evolution of the consulting profession Launch your practice or firm and propel it to top performance Implement your consulting strategies in public and private organizations, large or small, global or domestic Select from the widest variety of consulting methodologies Achieve lasting success in your professional career and personal goals The author is recognized as one of the most highly regarded independent consultants in America by the New York Post and a worldwide expert in executive education by Success Magazine Whether you're just starting out or looking for the latest trends in modern practice, The Consulting Bible gives you an unparalleled toolset to build a thriving consultancy. |
| business analytics training and placement: Advanced Deep Learning Applications in Big Data Analytics Bouarara, Hadj Ahmed, 2020-10-16 Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students. |
| business analytics training and placement: Financial Analytics with R Mark J. Bennett, Dirk L. Hugen, 2016-10-06 Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities. |
| business analytics training and placement: Shaping the Future of Business Education G. Hardy, D. Everett, 2015-12-04 In a world economy where rapid change is the only constant, what is the best way for business schools to prepare the leaders of tomorrow? The authors of this volume argue that a broad and rigorous education is needed; one that fuses business knowledge with arts and sciences, technology, and ethical training. |
| business analytics training and placement: Managing Projects and Programs Lawrence A. Bennigson, 1971 |
| business analytics training and placement: Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment Srivastava, Prateek, Ramteke, Durgaprasad, Bedyal, Ankush Kumar, Gupta, Monika, Sandhu, Jasminder Kaur, 2023-07-14 Managing solid waste is one of the biggest challenges in urban areas around the world. Technologically advanced economies generate vast amounts of organic waste materials, many of which are disposed of in landfills. In the future, efficient use of carbon-containing waste and all other waste materials must be increased to reduce the need for virgin raw materials acquisition, including biomass, and reduce carbon emissions to the atmosphere, mitigating climate change. Moreover, expeditious development in information and communications technology (ICT) has made the machines more powerful and efficient, but at the same time, there is a simultaneous decrease in product life leading to an extensive rise in the annual production of e-waste, or electronic waste. Considering the health hazards and environmental implications of e-waste, it has become a global problem that needs serious attention. The Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for a Sustainable Environment covers waste management principles and strategies in different fields and corresponding applications. The book also focuses on the waste management strategies for a sustainable environment that have emerged. Covering key topics such as waste, energy, and recycling, this premier reference source is an excellent resource for environmentalists, government officials, researchers, scholars, academicians, practitioners, instructors, and students. |
| business analytics training and placement: Business unIntelligence Barry Devlin, 2013-10 Business intelligence (BI) used to be so simple—in theory anyway. Integrate and copy data from your transactional systems into a specialized relational database, apply BI reporting and query tools and add business users. Job done. No longer. Analytics, big data and an array of diverse technologies have changed everything. More importantly, business is insisting on ever more value, ever faster from information and from IT in general. An emerging biz-tech ecosystem demands that business and IT work together. Business unIntelligence reflects the new reality that in today’s socially complex and rapidly changing world, business decisions must be based on a combination of rational and intuitive thinking. Integrating cues from diverse information sources and tacit knowledge, decision makers create unique meaning to innovate heuristically at the speed of thought. This book provides a wealth of new models that business and IT can use together to design support systems for tomorrow’s successful organizations. Dr. Barry Devlin, one of the earliest proponents of data warehousing, goes back to basics to explore how the modern trinity of information, process and people must be reinvented and restructured to deliver the value, insight and innovation required by modern businesses. From here, he develops a series of novel architectural models that provide a new foundation for holistic information use across the entire business. From discovery to analysis and from decision making to action taking, he defines a fully integrated, closed-loop business environment. Covering every aspect of business analytics, big data, collaborative working and more, this book takes over where BI ends to deliver the definitive framework for information use in the coming years. As the person who defined the conceptual framework and physical architecture for data warehousing in the 1980s, Barry Devlin has been an astute observer of the movement he initiated ever since. Now, in Business unIntelligence, Devlin provides a sweeping view of the past, present, and future of business intelligence, while delivering new conceptual and physical models for how to turn information into insights and action. Reading Devlin’s prose and vision of BI are comparable to reading Carl Sagan’s view of the cosmos. The book is truly illuminating and inspiring. --Wayne Eckerson, President, BI Leader Consulting Author, “Secrets of Analytical Leaders: Insights from Information Insiders” |
| business analytics training and placement: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| business analytics training and placement: The Great Cloud Migration Michael C. Daconta, 2013 - Learn how to migrate your applications to the cloud! - Learn how to overcome your senior management's concerns about Cloud Security and Interoperability! - Learn how to explain cloud computing, big data and linked data to your organization! - Learn how to develop a robust Cloud Implementation Strategy! - Learn how a Technical Cloud Broker can ease your migration to the cloud! This book will answer the key questions that every organization is asking about emerging technologies like Cloud Computing, Big Data and Linked Data. Written by a seasoned expert and author/co-author of 11 other technical books, this book deftly guides you with real-world experience, case studies, illustrative diagrams and in-depth analysis. * How do you migrate your software applications to the cloud? This book is your definitive guide to migrating applications to the cloud! It explains all the options, tradeoffs, challenges and obstacles to the migration. It provides a migration lifecycle and process you can follow to migrate each application. It provides in-depth case studies: an Infrastructure-as-a-Service case study and a Platform-as-a-Service case study. It covers the difference between application migration and data migration to the cloud and walks you through how to do both well. It covers migration to all the major cloud providers to include Amazon Web Services (AWS), Google AppEngine and Microsoft Azure. * How do you develop a sound implementation strategy for the migration to the cloud? This book leverages Mr. Daconta's 25 years of leadership experience, from the Military to Corporate Executive teams to the Office of the CIO in the Department of Homeland Security, to guide you through the development of a practical and sound implementation strategy. The book's Triple-A Strategy: Assessment, Architecture then Action is must reading for every project lead and IT manager! * This book covers twenty migration scenarios! Application and data migration to the cloud |
| business analytics training and placement: 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 analytics training and placement: BIAN 2nd Edition – A framework for the financial services industry BIAN eV, 2021-07-09 The Banking Industry Architecture Network (BIAN) is a global, not-for-profit association of banks, solution providers, consultancy companies, integrators and academic partners, with the shared aim of defining a semantic standard for the banking industry covering all banking activity and almost all of the well-known architectural layers. BIAN’s Reference Architecture for the Financial Industry provides its users with a set of building blocks that, when used in different combinations, can support all of the functionality and information a bank needs for both its internal functioning and its collaboration with partners in an Open Finance and Open API economy. BIAN’s Reference Architecture for the Financial Industry is freely available on the BIAN website. This website also provides a wealth of information on both the theory and practice of the standard. So why this book? Importantly, it summarizes all of the above information and guides the reader through it on a step-by-step basis. It provides the reader with a thorough understanding of BIAN’s architecture and how it can be used to support an organization on its journey to becoming an agile business organization and developing an application platform. BIAN is a semantic standard. It provides business building blocks and defines them in business terms. It provides a business view on both the business and application architectures. This second edition not only includes the more recent deliverables, it also takes a stepped approach through the different topics. It aims to be more appealing to a business audience by addressing the building blocks of BIAN and their possible use in business terms, whilst also including many real-life examples of BIAN’s usage. As such, it should not only appeal to application and business architects, but also to their managers, their business partners and other stakeholders who work closely with them. The first part of the book focuses on the theory: BIAN’s organization, the principles and patterns on which its architecture is based, and its building blocks. The second part of the book explains – in methodology-independent terms – how BIAN can be applied in different architectural layers by different disciplines, in co-operation with architects. This part of the book includes a number of practical examples intended to improve the reader’s understanding of the building blocks of the BIAN architecture and encourage them to apply it for the benefit of their own organization. The final part of the book should inspire the reader even further by clearly illustrating the synergy between the content that BIAN delivers and the architecture methodology provided by TOGAF. |
| business analytics training and placement: Score Higher on the UCAT Kaplan Test Prep, 2020-04-07 The Expert Guide from Kaplan for 2021 entry One test stands between you and a place at the medical school of your dreams: the UCAT. With 1,500 questions, test-like practice exams, a question bank, and online test updates, Kaplan’s Score Higher on the UCAT, sixth edition, will help build your confidence and make sure you achieve a high score. We know it's crucial that you go into your UCAT exam equipped with the most up-to-date information available. Score Higher on the UCAT comes with access to additional online resources, including any recent exam changes, hundreds of questions, an online question bank, and a mock online test with full worked answers to ensure that there are no surprises waiting for you on test day. The Most Practice 1,500 questions in the book and online—more than any other UCAT book Three full-length tests: one mock online test to help you practise for speed and accuracy in a test-like interface, and two tests with worked answers in the book Online question bank to fine-tune and master your performance on specific question types Expert Guidance The authors of Score Higher on the UCAT have helped thousands of students prepare for the exam. They offer invaluable tips and strategies for every section of the test, helping you to avoid the common pitfalls that trip up other UCAT students. We invented test preparation—Kaplan (www.kaptest.co.uk) has been helping students for 80 years. Our proven strategies have helped legions of students achieve their dreams. |
| business analytics training and placement: Effective Strategy Execution Bernd Heesen, 2015-09-04 This book demonstrates how an improved strategic management approach, leveraging established management concepts in conjunction with the innovative technology solutions offered by business intelligence, can lead to better performance. It presents the three main barriers to effective strategy execution and explains how they can be overcome. Creating a shared understanding of the strategy at all levels of the organization using a Value ScorecardTM and following the Strategic Alignment ProcessTM allow organizations to measure and monitor performance. Strategic Alignment Remote ControlTM is presented as the ultimate tool for managers to remain in control of their business. Seven case studies from different industries across the globe provide examples of how the organizational performance can be improved. They include companies like Daimler, Tetra-Pak, Würth, Germany's Federal Employment Agency, the city of Aix-Les-Bains, and Giesecke & Devrient. Additional examples from organizations like Disney, Marriott, Volkswagen, Avis, FedEx, and Harrahs help to demonstrate how applying the concepts introduced adds unique value. The second edition of this book has been updated and improved. Additionally it includes a separate section on decision-making under uncertainty and the results of a survey on the adoption of business intelligence. |
| business analytics training and placement: Advances in Artificial-Business Analytics and Quantum Machine Learning K. C. Santosh, |
| business analytics training and placement: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Mia L. Stephens, Nitin R. Patel, 2016-05-11 Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining. Featuring hands-on applications with JMP Pro®, a statistical package from the SAS Institute, the book uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting. Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® also includes: Detailed summaries that supply an outline of key topics at the beginning of each chapter End-of-chapter examples and exercises that allow readers to expand their comprehension of the presented material Data-rich case studies to illustrate various applications of data mining techniques A companion website with over two dozen data sets, exercises and case study solutions, and slides for instructors www.dataminingbook.com Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® is an excellent textbook for advanced undergraduate and graduate-level courses on data mining, predictive analytics, and business analytics. The book is also a one-of-a-kind resource for data scientists, analysts, researchers, and practitioners working with analytics in the fields of management, finance, marketing, information technology, healthcare, education, and any other data-rich field. |
| business analytics training and placement: NoSQL Data Models Olivier Pivert, 2018-07-27 The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues. |
| business analytics training and placement: 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 analytics training and placement: Business Analysis For Dummies Kupe Kupersmith, Paul Mulvey, Kate McGoey, 2013-07-01 Your go-to guide on business analysis Business analysis refers to the set of tasks and activities that help companies determine their objectives for meeting certain opportunities or addressing challenges and then help them define solutions to meet those objectives. Those engaged in business analysis are charged with identifying the activities that enable the company to define the business problem or opportunity, define what the solutions looks like, and define how it should behave in the end. As a BA, you lay out the plans for the process ahead. Business Analysis For Dummies is the go to reference on how to make the complex topic of business analysis easy to understand. Whether you are new or have experience with business analysis, this book gives you the tools, techniques, tips and tricks to set your project’s expectations and on the path to success. Offers guidance on how to make an impact in your organization by performing business analysis Shows you the tools and techniques to be an effective business analysis professional Provides a number of examples on how to perform business analysis regardless of your role If you're interested in learning about the tools and techniques used by successful business analysis professionals, Business Analysis For Dummies has you covered. |
| business analytics training and placement: Data Points Nathan Yau, 2013-03-25 A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something. |
| business analytics training and placement: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
| business analytics training and placement: Data Science Using Python and R Chantal D. Larose, Daniel T. Larose, 2019-04-09 Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets. |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and…. Learn more.
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that…. Learn more.
SAVVY | English meaning - Cambridge Dictionary
SAVVY definition: 1. practical knowledge and ability: 2. having or showing practical knowledge and experience: 3…. Learn more.
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you…. Learn more.
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or…. Learn more.
ENTREPRENEURIAL | English meaning - Cambridge Dictionary
ENTREPRENEURIAL definition: 1. relating to someone who starts their own business or is good at seeing new opportunities to make…. Learn more.
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the…. Learn more.
COMPLIANCE | English meaning - Cambridge Dictionary
COMPLIANCE definition: 1. the act of obeying a law or rule, especially one that controls a particular industry or type of…. Learn more.
METRICS | English meaning - Cambridge Dictionary
METRICS definition: a set of numbers that give information about a particular process or activity: . Learn more.
PREMISES | English meaning - Cambridge Dictionary
PREMISES definition: 1. the land and buildings owned by someone, especially by a company or organization: 2. the land…. Learn more.
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys and…. Learn more.
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, especially one that…. Learn more.
SAVVY | English meaning - Cambridge Dictionary
SAVVY definition: 1. practical knowledge and ability: 2. having or showing practical knowledge and experience: 3…. Learn more.
LEVERAGE | English meaning - Cambridge Dictionary
LEVERAGE definition: 1. the action or advantage of using a lever: 2. power to influence people and get the results you…. Learn more.
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the person who has or…. Learn more.
ENTREPRENEURIAL | English meaning - Cambridge Dictionary
ENTREPRENEURIAL definition: 1. relating to someone who starts their own business or is good at seeing new opportunities to make…. Learn more.
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the…. Learn more.
COMPLIANCE | English meaning - Cambridge Dictionary
COMPLIANCE definition: 1. the act of obeying a law or rule, especially one that controls a particular industry or type of…. Learn more.
METRICS | English meaning - Cambridge Dictionary
METRICS definition: a set of numbers that give information about a particular process or activity: . Learn more.
PREMISES | English meaning - Cambridge Dictionary
PREMISES definition: 1. the land and buildings owned by someone, especially by a company or organization: 2. the land…. Learn more.
