Business Intelligence Strategy and Big Data Analytics

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0128094893
Total Pages : 240 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Business Intelligence Strategy and Big Data Analytics by : Steve Williams

Download or read book Business Intelligence Strategy and Big Data Analytics written by Steve Williams and published by Morgan Kaufmann. This book was released on 2016-04-08 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Big Data, Big Analytics

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 111814760X
Total Pages : 230 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Big Data, Big Analytics by : Michael Minelli

Download or read book Big Data, Big Analytics written by Michael Minelli and published by John Wiley & Sons. This book was released on 2013-01-22 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Big Data

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Author :
Publisher : CRC Press
ISBN 13 : 1000218309
Total Pages : 156 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Business Intelligence and Big Data by : Celina M. Olszak

Download or read book Business Intelligence and Big Data written by Celina M. Olszak and published by CRC Press. This book was released on 2020-11-17 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data and Business Analytics

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Author :
Publisher : CRC Press
ISBN 13 : 1466565799
Total Pages : 304 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Big Data and Business Analytics by : Jay Liebowitz

Download or read book Big Data and Business Analytics written by Jay Liebowitz and published by CRC Press. This book was released on 2016-04-19 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions todo this, avoid that.'"-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of "big data," it becomes vitally important for organizations to mak

Business Intelligence and Data Mining

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Author :
Publisher : Business Expert Press
ISBN 13 : 1631571214
Total Pages : 226 pages
Book Rating : 4.13/5 ( download)

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Book Synopsis Business Intelligence and Data Mining by : Anil Maheshwari

Download or read book Business Intelligence and Data Mining written by Anil Maheshwari and published by Business Expert Press. This book was released on 2014-12-31 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: “This book is a splendid and valuable addition to this subject. The whole book is well written and I have no hesitation to recommend that this can be adapted as a textbook for graduate courses in Business Intelligence and Data Mining.” Dr. Edi Shivaji, Des Moines, Iowa “As a complete novice to this area just starting out on a MBA course I found the book incredibly useful and very easy to follow and understand. The concepts are clearly explained and make it an easy task to gain an understanding of the subject matter.” -- Mr. Craig Domoney, South Africa. Business Intelligence and Data Mining is a conversational and informative book in the exploding area of Business Analytics. Using this book, one can easily gain the intuition about the area, along with a solid toolset of major data mining techniques and platforms. This book can thus be gainfully used as a textbook for a college course. It is also short and accessible enough for a busy executive to become a quasi-expert in this area in a couple of hours. Every chapter begins with a case-let from the real world, and ends with a case study that runs across the chapters.

Successful Business Intelligence: Secrets to Making BI a Killer App

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Author :
Publisher : McGraw Hill Professional
ISBN 13 : 0071596143
Total Pages : 258 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis Successful Business Intelligence: Secrets to Making BI a Killer App by : Cindi Howson

Download or read book Successful Business Intelligence: Secrets to Making BI a Killer App written by Cindi Howson and published by McGraw Hill Professional. This book was released on 2007-12-17 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Successful Business Intelligence "If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." --Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics "When used strategically, business intelligence can help companies transform their organization to be more agile, more competitive, and more profitable. Successful Business Intelligence offers valuable guidance for companies looking to embark upon their first BI project as well as those hoping to maximize their current deployments." --John Schwarz, CEO, Business Objects "A thoughtful, clearly written, and carefully researched examination of all facets of business intelligence that your organization needs to know to run its business more intelligently and exploit information to its fullest extent." --Wayne Eckerson, Director, TDWI Research "Using real-world examples, Cindi Howson shows you how to use business intelligence to improve the performance, and the quality, of your company." --Bill Baker, Distinguished Engineer & GM, Business Intelligence Applications, Microsoft Corporation "This book outlines the key steps to make BI an integral part of your company's culture and demonstrates how your company can use BI as a competitive differentiator." --Robert VanHees, CFO, Corporate Express "Given the trend to expand the business analytics user base, organizations are faced with a number of challenges that affect the success rate of these projects. This insightful book provides practical advice on improving that success rate." --Dan Vesset, Vice President, Business Analytics Solution Research, IDC

Artificial Intelligence and Big Data

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1786300834
Total Pages : 162 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Artificial Intelligence and Big Data by : Fernando Iafrate

Download or read book Artificial Intelligence and Big Data written by Fernando Iafrate and published by John Wiley & Sons. This book was released on 2018-03-27 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.

E-Business

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789846846
Total Pages : 172 pages
Book Rating : 4.43/5 ( download)

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Book Synopsis E-Business by : Robert M.X. Wu

Download or read book E-Business written by Robert M.X. Wu and published by BoD – Books on Demand. This book was released on 2021-05-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.

Integration Challenges for Analytics, Business Intelligence, and Data Mining

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Author :
Publisher : IGI Global
ISBN 13 : 1799857832
Total Pages : 250 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Integration Challenges for Analytics, Business Intelligence, and Data Mining by : Azevedo, Ana

Download or read book Integration Challenges for Analytics, Business Intelligence, and Data Mining written by Azevedo, Ana and published by IGI Global. This book was released on 2020-12-11 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.

Big Data For Dummies

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118644174
Total Pages : 336 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Big Data For Dummies by : Judith S. Hurwitz

Download or read book Big Data For Dummies written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2013-04-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.