Business Intelligence Strategy and Big Data Analytics

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

Produk Detail:

  • Author : Steve Williams
  • Publisher : Morgan Kaufmann
  • Pages : 240 pages
  • ISBN : 0128094893
  • Rating : 4/5 from 1 reviews
CLICK HERE TO GET THIS BOOKBusiness Intelligence Strategy and Big Data Analytics

Business Intelligence Strategy and Big Data Analytics

Business Intelligence Strategy and Big Data Analytics
  • Author : Steve Williams
  • Publisher : Morgan Kaufmann
  • Release : 08 April 2016
GET THIS BOOKBusiness Intelligence Strategy and Big Data Analytics

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

Business Intelligence Strategy and Big Data Analytics

Business Intelligence Strategy and Big Data Analytics
  • Author : Steve Williams
  • Publisher : Morgan Kaufmann
  • Release : 15 May 2016
GET THIS BOOKBusiness Intelligence Strategy and Big Data Analytics

Business Intelligence Strategy in the Big Data Analytics: A General Management Perspective explains how to deliver competitive advantages and substantial economic benefits by overcoming commonly-encountered barriers to success. It includes lessons learned from leading companies that provide practical ideas for how to use the many different forms of BI to meet key business objectives. Further, it clarifies how BI initiatives are really business initiatives that require business units to change how they use information and analysis to drive and improve

Big Data and Business Analytics

Big Data and Business Analytics
  • Author : Jay Liebowitz
  • Publisher : CRC Press
  • Release : 13 June 2013
GET THIS BOOKBig Data and Business Analytics

"The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to ‘do this, avoid that.’" —From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics

Big Data, Big Analytics

Big Data, Big Analytics
  • Author : Michael Minelli,Michele Chambers,Ambiga Dhiraj
  • Publisher : John Wiley & Sons
  • Release : 22 January 2013
GET THIS BOOKBig Data, Big Analytics

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

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Computational Intelligence Applications in Business Intelligence and Big Data Analytics
  • Author : Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu
  • Publisher : CRC Press
  • Release : 26 June 2017
GET THIS BOOKComputational Intelligence Applications in Business Intelligence and Big Data Analytics

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned

Data Strategy

Data Strategy
  • Author : Bernard Marr
  • Publisher : Kogan Page Publishers
  • Release : 03 April 2017
GET THIS BOOKData Strategy

Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data

Big Data Analytics

Big Data Analytics
  • Author : David Loshin
  • Publisher : Elsevier
  • Release : 23 August 2013
GET THIS BOOKBig Data Analytics

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. Guides the reader in assessing the opportunities and value proposition Overview of big data hardware and software architectures Presents a variety of

Big Data, Mining, and Analytics

Big Data, Mining, and Analytics
  • Author : Stephan Kudyba
  • Publisher : CRC Press
  • Release : 12 March 2014
GET THIS BOOKBig Data, Mining, and Analytics

There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitati

Big Data Analytics

Big Data Analytics
  • Author : Arun K. Somani,Ganesh Chandra Deka
  • Publisher : CRC Press
  • Release : 30 October 2017
GET THIS BOOKBig Data Analytics

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Big Data MBA

Big Data MBA
  • Author : Bill Schmarzo
  • Publisher : John Wiley & Sons
  • Release : 11 December 2015
GET THIS BOOKBig Data MBA

Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with

Business Analytics for Managers

Business Analytics for Managers
  • Author : Gert Laursen,Jesper Thorlund
  • Publisher : John Wiley & Sons
  • Release : 13 July 2010
GET THIS BOOKBusiness Analytics for Managers

"While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!"—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right

Open and Big Data Management and Innovation

Open and Big Data Management and Innovation
  • Author : Marijn Janssen,Matti Mäntymäki,Jan Hidders,Bram Klievink,Winfried Lamersdorf,Bastiaan van Loenen,Anneke Zuiderwijk
  • Publisher : Springer
  • Release : 08 October 2015
GET THIS BOOKOpen and Big Data Management and Innovation

This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.

Creating Value with Big Data Analytics

Creating Value with Big Data Analytics
  • Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk
  • Publisher : Routledge
  • Release : 08 January 2016
GET THIS BOOKCreating Value with Big Data Analytics

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing

Big Data Analytics Strategies for the Smart Grid

Big Data Analytics Strategies for the Smart Grid
  • Author : Carol L. Stimmel
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKBig Data Analytics Strategies for the Smart Grid

By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.Readable and accessible, Big Data Analytic

Big Data

Big Data
  • Author : Bernard Marr
  • Publisher : John Wiley & Sons
  • Release : 09 January 2015
GET THIS BOOKBig Data

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in