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Pressestimmen

"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

Über den Autor und weitere Mitwirkende

Dr. Brenda L. Dietrich is an IBM Fellow and Vice President. She joined IBM in 1984 and has worked in the area now called analytics for her entire career. Her early work involved applying mathematical models to improve the performance of IBM manufacturing lines. During her career, she has worked with almost every IBM business unit and applied analytics to numerous IBM decision processes. For more than a decade, she led the Mathematical Sciences function in the IBM Research division, where she was responsible for both basic research on computational mathematics and for the development of novel applications of mathematics for both IBM and its clients. In addition to her work within IBM, she has been the president of INFORMS, the world's largest professional society for operations research and management sciences, she is an INFORMS Fellow, and she has received multiple service awards from INFORMS. She has served on the board of trustees of SIAM and on several university advisory boards. She is a member of the National Academy of Engineering. She holds more than a dozen patents, has co-authored numerous publications, and frequently speaks on analytics at conferences. She holds a BS in mathematics from UNC and an MS and PhD in operations research/information engineering from Cornell. Her personal research includes manufacturing scheduling, services resource management, transportation logistics, integer programming, and combinatorial duality. She currently leads the emerging technologies team in the IBM Watson group. Dr. Emily C. Plachy is a Distinguished Engineer in Business Analytics Transformation, responsible for leading an increased use of analytics across IBM. She has integrated data analysis into her work throughout her career. Since joining IBM in 1982, she has held a number of technical leadership roles including CTO, Process, Methods, and Tools in IBM Global Business Services (GBS), providing architecture and technology leadership and driving the adoption of consistent methods and tools in GBS, and CTO, Enterprise Integration, GBS, providing architecture and technology leadership. She has also held a variety of roles in IBM, including development, ad tech, research, emerging business opportunities, technical sales, and services. Her technology skills include data integration, enterprise integration, solution architecture, software development, and asset reuse. She has experience in multiple industries, including banking, consumer products, retail, telecommunications, healthcare, and petroleum. She has a BS degree in applied mathematics from Washington University, an MSc degree in computer science from the University of Waterloo, and a DSc degree in computer science from Washington University. In 1992, Emily was elected to the IBM Academy of Technology, a body of approximately 1,000 of IBM's top technical leaders, and she served as its President from 2009 to 2011. She has been a long-term champion of women in technology. She is a member of Women in Technology International, the Society of Women Engineers, and INFORMS. Emily lives in New York with her husband, Tony. She is on Twitter @eplachy and on LinkedIn at http://www.linkedin.com/pub/emily-plachy/3/1bb/777. Maureen Fitzgerald Norton, MBA, JD, is a Distinguished Market Intelligence Professional and Executive Program Manager in Business Analytics Transformation, responsible for driving the widespread use of analytics across IBM. She pioneered the development of an outcome-focused communications strategy to drive the culture change needed for analytics adoption. Maureen created analytics case studies and innovative learning exercises for teaching analytics. She co-created an innovative analytics workshop and taught MBA students in Europe and the Middle East. In her previous role, Maureen led project teams applying analytics to IBM Smarter Planet initiatives in public safety, global social services, commerce, and merchandising, specializing in cost/benefit analysis and return on investment of analytic projects. Maureen became the first woman in IBM to earn the designation of Distinguished Market Intelligence Professional for developing innovative approaches to solving business issues and knowledge gaps through analysis. She has held a number of analytic and management roles in IBM. She earned BA and MBA degrees from the University of New Haven and a JD degree from the University of Connecticut School of Law. She is a licensed attorney and did her thesis on the legal implications of artificial intelligence. She lives in Connecticut with her husband, Dr. William Norton, and three children, Erin, Colleen, and William. She is a dual citizen of the United States and Ireland. In addition to Analytics Across the Enterprise, Maureen has published "The Benefits of Social Media Analytics 2013" with the IBM Academy of Technology and "Social Media Analytics: Measuring Value Across Enterprises and Industries" in the Journal of Management Systems. Maureen is on Twitter @mfnorton and on LinkedIn at http://www.linkedin.com/in/maureennorton/.

In diesem Buch

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4 von 5 Kunden fanden die folgende Rezension hilfreich
Cut through the Big Data hype! 29. Juli 2014
Von Shane Willerton - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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 von 5 Kunden fanden die folgende Rezension hilfreich
Easy to read, practical with 31 use cases to help anyone unsure where to start 29. Juli 2014
Von Dr Evaristus Mainsah - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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 von 3 Kunden fanden die folgende Rezension hilfreich
Listen to the Voice of Your Employees 13. August 2014
Von Cheryl Burgess,Co-Author-The Social Employee (McGraw-Hill 2013) - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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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