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Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics [Format Kindle]

Brenda L. Dietrich , Emily C. Plachy , Maureen F. Norton

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Descriptions du produit

Revue de presse

“Few major high-tech companies eat their own dog food. But give IBM credit: It practices what it preaches. This book provides an inside look at how IBM has applied analytics to nine business functions, the lessons it has learned, and the value it has derived. This book is valuable for anyone in a large company who wants to know how to apply analytics profitably.”
--Wayne Eckerson, Principal Consultant, Eckerson Group, and author, Secrets of Analytical Leaders: Insights from Information Insiders

Analytics Across the Enterprise shows how even the most complex enterprise can transform itself with analytics. A powerful collection of real-world projects shows that using analytics to improve decisions, especially operational decisions, drives efficiency and innovation. The stories in this very readable book show the importance of actually taking action, not just developing insight; of caring about the end user context, not just the model; of gaining buy-in and managing organizational change; and much more. A great guide for anyone transforming their own organization with analytics.”
--James Taylor, author, Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics (IBM Press)

Analytics Across the Enterprise is the only book on analytics written by three world-class experts ‘standing on the shoulders of a giant’ analytics powerhouse: an impressive first-hand account of nine breakthrough analytic journeys from 70 top executives and practitioners, the largest private math department in the world, and a leading consulting think tank. This is an unprecedented tour de force showing how a best-of-breed analytics company revolutionized its own business model.”
--Goncalo Pacheco de Almeida, Associate Professor of Strategy, Head of the Business Analytics Initiative, and Academic Director of the MBA Strategy Specialization, HEC Paris Business School and the French National Scientific Research Center-HEC Lab

“A thoughtfully written collection of stories from within IBM, with proven techniques that are valuable for all current and future business leaders. IBM has been doing analytics since before it was ‘cool’ and, for the first time, shares an inside look at the very pragmatic, inspiring approach complete with lessons learned. Analytics Across the Enterprise not only changes the game, it explains how to win.”
--Lawrence G. Singleton, PhD, CPA, Dean, School of Management, Professor of Accounting and International Business, Marist College

“Organizations are awash in data. Many have transformed this data into information, yet few have identified patterns of insight from this information. A rare number of organizations can take the insight to action, but even fewer can create a pathway from data to decisions. In Analytics Across the Enterprise, Dietrich, Plachy, and Norton definitively chronicle what it takes to apply big data and analytics in the transformation of enterprises. The results: Successful leaders create competitive advantage in smarter workforces, optimized supply chains, and predictable sales performance. Organizations will learn how to move not only from gut-feel intuition but also to powerful fact-based decision making.”
--R “Ray” Wang, Principal Analyst and Founder, Constellation Research, Inc.

“The growing demand for analytics is a priority for business and IT to collaborate on the processes and technology required to gain the insights to guide organizations to be effective. This book helps organizations gain a perspective on what operating analytics across the enterprise is all about and most importantly why it is crucial across lines of business where the outcomes can be achieved from making continuous investments.”
--Mark Smith, CEO and Chief Research Officer, Ventana Research

“Glimpses of the IBM vision of the future for analytics have regularly appeared in the literature, and now for the first time we have a comprehensive inside account of how IBM uses advanced analytics to compete globally. Using examples from many functions (HR, marketing, finance, supply chain), this book provides a fascinating view of IBM as an intensively data-driven corporation. Senior executives familiar with analytics and data applications will find many ideas in this book on how they can harness analytics to improve their corporation’s performance. Executives less familiar with analytics may experience some ‘shock and awe’ in reading how far data- and analytics-driven corporations have progressed and what formidable competitors they have become.”
--Peter C. Bell, Professor, Management Science, Ivey Business School at Western University

Analytics Across the Enterprise is a live chronicle of how the practice of analytics transcends the business functional boundaries and how it benefits all the business functions.”
--Dr. Adam Fadlalla, Associate Dean for Academic Affairs and Professor of Information Systems, College of Business and Economics, Qatar University

“The use of data and analytics to generate value is a journey for all organizations: a journey of technology, operational self-awareness, and culture. The joy and challenge of data and analytics is that it is difficult, and as such, it is a source of sustainable competitive value. This book tells the story of the journey of adoption of analytics for IBM and how we became a company driven by data and analytics. It explores the technical and mathematical complexities of the journey, the different business use cases, and the value it delivered to our clients, our employees, and our shareholders.”
--Fred Balboni, Global Managing Partner, Strategy and Analytics, Global Business Services, IBM Corporation

Présentation de l'éditeur

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience

Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense.

This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business.

Coverage Includes
  • Creating a smarter workforce through big data and analytics
  • More effectively optimizing supply chain processes
  • Systematically improving financial forecasting
  • Managing financial risk, increasing operational efficiency, and creating business value
  • Reaching more B2B or B2C customers and deepening their engagement
  • Optimizing manufacturing and product management processes
  • Deploying your sales organization to increase revenue and effectiveness
  • Achieving new levels of excellence in services delivery and reducing risk
  • Transforming IT to enable wider use of analytics
  •  “Measuring the immeasurable” and filling gaps in imperfect data

Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too.


Learn more about IBM Analytics

Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 5157 KB
  • Nombre de pages de l'édition imprimée : 224 pages
  • Utilisation simultanée de l'appareil : Jusqu'à 5 appareils simultanés, selon les limites de l'éditeur
  • Editeur : IBM Press; Édition : 1 (15 mai 2014)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Activé
  • Composition améliorée: Activé
  • Classement des meilleures ventes d'Amazon: n°397.379 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)

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Commentaires en ligne

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Amazon.com: 5.0 étoiles sur 5  3 commentaires
4 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Cut through the Big Data hype! 29 juillet 2014
Par Shane Willerton - Publié sur Amazon.com
Is Big Data just background noise or does it have enough true business value potential to offset the costs? Those are some of the questions that I have struggled with since Big Data became the new buzzword. If these questions have occurred to you, Analytics Across the Enterprise is uniquely positioned to answer them. Few companies are positioned as well as IBM when it comes to size, breadth of business scope, research and development capabilities. The authors have drawn from the corporate experience of IBM in the areas of Big Data and advanced analytics to bring us the lessons learned for what has and hasn’t worked and why.

Analytics Across the Enterprise is a collection of 31 high-level case studies organized by business function of how IBM has derived value, enhanced its business and increased sales from analytics and Big Data. The two case studies that I found most surprising were the ones where they were using social media to assess the risks of political turmoil in nations and to assess the risk to their financial portfolio. Using concrete examples, the authors show many cases where advanced analytics and Big Data were used to drive business decisions. The point the authors keep returning to, is that the analytics is useless in and of itself. The value is in application to solve or answer business questions.

Analytics Across the Enterprise is a series of high-level case studies and does not delve into the statistics behind the analytics which makes it readable by all levels of IT management and development. The footnotes provide many valuable links to dive into the statistics for those who need to, such as data architects and data scientists.

Read this book if you want to understand the difference between the hype and the promise of analytics and Big Data. Separating business value from the background noise is the biggest challenge with getting started with Big Data. This book will not teach you the Big Data tools. It will teach how you should use those tools to gain business insight and value.
4 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Easy to read, practical with 31 use cases to help anyone unsure where to start 29 juillet 2014
Par Dr Evaristus Mainsah - Publié sur Amazon.com
Written by three outstanding practitioners in Big Data analytics and transformation, this book spells practical. My general litmus test for a technical book is how many sittings I need to finish it (and often whether I finish it cover to cover). This is 164 pages and took me 4 sittings to complete …. The book starts with key framework concepts for those new to Big Data analytics – to get everyone on the same page on why you should care and a primer on the different types – so by page 10, you can distinguish your descriptive analytics from your prescriptive analytics; your social media analytics from your entity analytics; and your predictive analytics from cognitive computing…. And you go from potentially being an outsider to a veritable insider. You know the concepts and the lingo… and a few pages later, why all this matters, how it can help you transform your company. The Dietrich, Placy and Norton then introduce you to 9 levers by which to gauge progress (enablers, drivers and amplifiers).

With the concepts and framework in place – you’re ready for the use cases. The authors then take you through a fascinating journey of IBM’s own experience picking examples from different business units – and what at first is surprising is just how diverse the cases are. The range business units, problems, constraints and approaches. I am sure there’s one there, just for your problem.

HR executives will no doubt be interested in the imaginative ways in which they use analytics to pre-empt and reduce attrition; manufacturing executives might interested in the ideas that build on and take quality control tools to a new level using predictive analytics; financial executives will surely take plenty from the efforts to build an analytics culture and grow the “Analytics Quotient” within IBM Finance to deliver on its mission of trusted business advisor, the use in the complex M&A process and in the humble spend forecasting or the country financial risk scorecard.

There are numerous other examples spanning supply chain, information technology – for CIO-types, performance management and client engagement, and the perennial issues of measuring and optimizing sales performance.

The authors leave you with 31 use cases, some completed, others that are the subject of further work – once again underlying the points they make over and over in the book: (1) this is a journey – not a destination, (2) your data is good enough, do not wait for perfect data to get started, (3) experimentation is at the heart of the process, speed is of the essence.

There are parts of the book that go into technical detail on the issues and method, so the book will work for a technical audience, but it is very much a book written with the practitioner or change leader in mind – executives experienced in big data analytics and those new to it, program and project managers, MBA students and anyone looking to take advantage of their data – especially, given the authors’ assertion that “Data is becoming the world’s new natural resource…”.
If you believe this, then here is a book to accompany you on that journey and help you find nuggets of wisdom and intelligence in your mass of data. It will help you turn what can sometimes be a head ache into a competitive advantage.
2 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Listen to the Voice of Your Employees 13 août 2014
Par Cheryl Burgess,Co-Author-The Social Employee (McGraw-Hill 2013) - Publié sur Amazon.com
One can’t get very far into a social business conversation these days without the subject of analytics coming up. For many, this topic is welcomed, a chance to put current business thinking into action. For others, it’s a source of trepidation, a topic so increasingly massive and multifaceted that picking a point of entry into the conversation—let alone getting into specific best practices—is a challenge unto itself.

Despite the scope of analytics applications in business, big data analytics is most commonly associated with external, customer facing applications—developing consumer buying profiles, determining the impact of marketing efforts, and the like. But as IBM’s Analytics Across the Enterprise, by Brenda Dietrich and Emily Plachy (@eplacy), demonstrates, analytics has the potential to impact every facet of an enterprise to improve efficiency and profitability.
The entire book is very well organized and paints a vivid picture of how analytics can be used in today’s social businesses, offering a detailed history of the kinds of changes the skillful deployment of big data can bring. At Blue Focus Marketing (@BlueFocus), we have had the privilege of enjoying an ongoing conversation with IBM regarding employee development and retention in social business, having featured the brand’s success story in our Amazon best-selling book, The Social Employee (McGraw-Hill, 2013). Because of this, we were particularly drawn to the second chapter in Dietrich and Plachy’s Analytics Across the Enterprise, “Creating a Smarter Workforce.”

Supporting Human Resources

In a survey of more than 400 resources professionals, IBM found that analytics can dramatically improve both recruiting and employee attrition efforts. However, they also learned that implementing workforce analytics “continues to be hindered by both technical and skill-related issues.” Such was the challenge when Jonathan Ferrar (@JAFerrar), Vice President of IBM’s Smarter Workforce (@IBMSmtWorkforce), was tasked with leading HR workforce analytics at IBM.

Although Ferrar had a mandate from the C-Suite, an essential component for ensuring the success of any social business initiative, he discovered that analytics knowledge within the HR organization was lacking. Thus, his first task was not implementation, but education—bolstered by the introduction of a few analytics experts into the HR fold. Says Ferrar on the experience, “You have to answer the questions that are being asked by the business leaders, and if this means tackling hard problems, then that’s what you must do.”

Soon, Ferrar’s retooled HR organization had make great strides in predictive attrition, labor risk analyses, and, perhaps most critically, understanding the social sentiment of IBMers. The quick turnaround from designing the program and achieving results is surely a testament to the power of predictive analytics when implemented successfully.

The Enterprise Social Pulse Program

Ultimately, Ferrar’s work led to the development of the Enterprise Social Pulse Program, a system designed to anonymously monitor employee’s feelings about their company and feed it back to them in order for the social organization as a whole to gain a better understanding of where they were as an employee culture.

This program allowed IBMers to monitor what their fellow employees were talking about both globally and by region, ultimately enabling any developing issues or concerns to come to the surface and be addressed quickly and effectively. On the success of the program, Stela Lupushor (@slupusho), former Workforce Analytics Leader at IBM, said, “If we have a solution that allows us to listen to the voice of the employees, make sense of all the chatter and glean insights and influence decisions that are being made in the enterprise, and if you show the employees that you care about what they say, we will create the virtuous cycle of improvement and engagement with our workforce.”
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