Business Intelligence Applied

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Publisher : John Wiley & Sons
ISBN 13 : 1118478312
Total Pages : 175 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Business Intelligence Applied by : Michael S. Gendron

Download or read book Business Intelligence Applied written by Michael S. Gendron and published by John Wiley & Sons. This book was released on 2012-10-19 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance for building an information communication and technology infrastructure that provides best in business intelligence Enterprise performance management (EPM) technology has been rapidly advancing, especially in the areas of predictive analysis and cloud-based solutions. Business intelligence caught on as a concept in the business world as the business strategy application of data warehousing in the early 2000s. With the recent surge in interest in data analytics and big data, it has seen a renewed level of interest as the ability of a business to find the valuable data in a timely—and competitive—fashion. Business Intelligence Applied reveals essential information for building an optimal and effective information and communication technology (ICT) infrastructure. Defines ICT infrastructure Examines best practices for documenting business change and for documenting technology recommendations Includes examples and cases from Europe and Asia Written for business intelligence staff, CIOs, CTOs, and technology managers With examples and cases from Europe and Asia, Business Intelligence Applied expertly covers business intelligence, a hot topic in business today as a key element to business and data analytics.

Business Intelligence Roadmap

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Publisher : Addison-Wesley Professional
ISBN 13 : 9780201784206
Total Pages : 582 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis Business Intelligence Roadmap by : Larissa Terpeluk Moss

Download or read book Business Intelligence Roadmap written by Larissa Terpeluk Moss and published by Addison-Wesley Professional. This book was released on 2003 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: This software will enable the user to learn about business intelligence roadmap.

Applied Business Analytics

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Publisher : Pearson Education
ISBN 13 : 0133481506
Total Pages : 321 pages
Book Rating : 4.1/5 (334 download)

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Book Synopsis Applied Business Analytics by : Nathaniel Lin

Download or read book Applied Business Analytics written by Nathaniel Lin and published by Pearson Education. This book was released on 2014 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Business Expert Press
ISBN 13 : 9781606491867
Total Pages : 150 pages
Book Rating : 4.4/5 (918 download)

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Book Synopsis Business Intelligence by : Jerzy Surma

Download or read book Business Intelligence written by Jerzy Surma and published by Business Expert Press. This book was released on 2011-03-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Performance Management

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Publisher : Springer Science & Business Media
ISBN 13 : 1447148665
Total Pages : 273 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Business Intelligence and Performance Management by : Peter Rausch

Download or read book Business Intelligence and Performance Management written by Peter Rausch and published by Springer Science & Business Media. This book was released on 2013-02-15 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.

Customer and Business Analytics

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Publisher : CRC Press
ISBN 13 : 146650398X
Total Pages : 314 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Customer and Business Analytics by : Daniel S. Putler

Download or read book Customer and Business Analytics written by Daniel S. Putler and published by CRC Press. This book was released on 2012-05-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Data Mining for Business Analytics

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Publisher : John Wiley & Sons
ISBN 13 : 111954985X
Total Pages : 608 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Applied Sport Business Analytics

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Publisher : Human Kinetics
ISBN 13 : 1492598534
Total Pages : 218 pages
Book Rating : 4.4/5 (925 download)

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Book Synopsis Applied Sport Business Analytics by : Christopher Atwater

Download or read book Applied Sport Business Analytics written by Christopher Atwater and published by Human Kinetics. This book was released on 2022-03-17 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses the fundamental use of analytical metrics to inform sport managers, framing sport analytics for practical use within organizations. The book is organized to present the background of sport analytics, why it is useful, selected techniques and tools employed, and its applications in sport organizations. The text guides the reader in selecting and communicating information in a useable format, and the translation of metrics in informing managers, guiding decisions, and maximizing efficiency in achieving desired outcomes"--

Practical Business Intelligence

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Publisher : Packt Publishing Ltd
ISBN 13 : 1785889974
Total Pages : 345 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Practical Business Intelligence by : Ahmed Sherif

Download or read book Practical Business Intelligence written by Ahmed Sherif and published by Packt Publishing Ltd. This book was released on 2016-12-21 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to get the most out of your business data to optimize your business About This Book This book will enable and empower you to break free of the shackles of spreadsheets Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide This book includes real-world use cases that teach you how analytics can be put to work to optimize your business Using a fictional transactional dataset in raw form, you'll work your way up to ultimately creating a fully-functional warehouse and a fleshed-out BI platform Who This Book Is For This book is for anyone who has wrangled with data to try to perform automated data analysis through visualizations for themselves or their customers. This highly-customized guide is for developers who know a bit about analytics but don't know how to make use of it in the field of business intelligence. What You Will Learn Create a BI environment that enables self-service reporting Understand SQL and the aggregation of data Develop a data model suitable for analytical reporting Connect a data warehouse to the analytic reporting tools Understand the specific benefits behind visualizations with D3.js, R, Tableau, QlikView, and Python Get to know the best practices to develop various reports and applications when using BI tools Explore the field of data analysis with all the data we will use for reporting In Detail Business Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly 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 an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis. Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business. The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company. It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market. Style and approach Packed with real-world examples, this pragmatic guide helps you polish your data and make informed decisions for your business. We cover both business and data analysis perspectives, blending theory and practical hands-on work so that you perceive data as a business asset.

Fundamentals of Business Intelligence

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Author :
Publisher : Springer
ISBN 13 : 3662465310
Total Pages : 348 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Fundamentals of Business Intelligence by : Wilfried Grossmann

Download or read book Fundamentals of Business Intelligence written by Wilfried Grossmann and published by Springer. This book was released on 2015-06-02 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.

Business Intelligence Applied

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Publisher :
ISBN 13 : 9781119203735
Total Pages : pages
Book Rating : 4.2/5 (37 download)

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Book Synopsis Business Intelligence Applied by : Michael S. Gendron

Download or read book Business Intelligence Applied written by Michael S. Gendron and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance for building an information communication and technology infrastructure that provides best in business intelligence Enterprise performance management (EPM) technology has been rapidly advancing, especially in the areas of predictive analysis and cloud-based solutions. Business intelligence caught on as a concept in the business world as the business strategy application of data warehousing in the early 2000s. With the recent surge in interest in data analytics and big data, it has seen a renewed level of interest as the ability of a business to find the valuable data in a timel.

Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

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Author :
Publisher : CRC Press
ISBN 13 : 0203499514
Total Pages : 542 pages
Book Rating : 4.2/5 (34 download)

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Book Synopsis Web Data Mining and Applications in Business Intelligence and Counter-Terrorism by : Bhavani Thuraisingham

Download or read book Web Data Mining and Applications in Business Intelligence and Counter-Terrorism written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2003-06-26 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta

Business Intelligence for the Enterprise

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Publisher : Prentice Hall Professional
ISBN 13 : 9780131413030
Total Pages : 244 pages
Book Rating : 4.4/5 (13 download)

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Book Synopsis Business Intelligence for the Enterprise by : Mike Biere

Download or read book Business Intelligence for the Enterprise written by Mike Biere and published by Prentice Hall Professional. This book was released on 2003 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : John Wiley & Sons
ISBN 13 : 0470461705
Total Pages : 306 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Business Intelligence by : Rajiv Sabherwal

Download or read book Business Intelligence written by Rajiv Sabherwal and published by John Wiley & Sons. This book was released on 2013-02-19 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Research on Applied AI for International Business and Marketing Applications

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Publisher : IGI Global
ISBN 13 : 1799850781
Total Pages : 702 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied AI for International Business and Marketing Applications by : Christiansen, Bryan

Download or read book Handbook of Research on Applied AI for International Business and Marketing Applications written by Christiansen, Bryan and published by IGI Global. This book was released on 2020-09-25 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.

Business Intelligence Guidebook

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Publisher : Newnes
ISBN 13 : 0124115284
Total Pages : 550 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Business Intelligence Guidebook by : Rick Sherman

Download or read book Business Intelligence Guidebook written by Rick Sherman and published by Newnes. This book was released on 2014-11-04 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Adaptive Business Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 3540329293
Total Pages : 249 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Adaptive Business Intelligence by : Zbigniew Michalewicz

Download or read book Adaptive Business Intelligence written by Zbigniew Michalewicz and published by Springer Science & Business Media. This book was released on 2006-12-02 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.