Book description
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
Table of contents
- About This eBook
- Title Page
- Copyright Page
- Praise for Analytics Across the Enterprise
- Dedication Page
- Contents
- Foreword
- Preface
- Acknowledgments
- About the Authors
- 1. Why Big Data and Analytics?
- 2. Creating a Smarter Workforce
-
3. Optimizing the Supply Chain
- Perspective: Applying Analytics to the Supply Chain
- Challenge: Detecting Quality Problems Early
- Challenge: Providing Supply/Demand Visibility and Improved Channel Inventory Management
- Challenge: Improving the Accounts Receivable Business Process and Collector Productivity
- Challenge: Predicting Disruptions in the Supply Chain
- Lessons Learned
- Endnotes
- 4. Anticipating the Financial Future
- 5. Enabling Analytics Through Information Technology
-
6. Reaching Your Market
- Perspective: Using Analytics to Reach and Engage with Clients
- Challenge: Developing the Data Foundation and Analytics Capability to Enable a Signature Client Experience
- Challenge: Providing a Real-Time View into Effectiveness of Marketing Actions: Performance Management
- Challenge: Going Beyond Correlation to Determine Causal Effects of Marketing Actions
- Challenge: Tapping into Analytics Passion to Provide New Insights to Inform IBM’s Digital Strategy
- Lessons Learned
- Endnotes
- 7. Measuring the Immeasurable
-
8. Optimizing Manufacturing
- Perspective: Applying Analytics to Manufacturing and Product Management
- Challenge: Scheduling a Complex Manufacturing Process in a Semiconductor Fab
- Challenge: Enhancing Yield in the Manufacturing of Semiconductors
- Challenge: Reducing the Time to Detect Aberrant Events
- Challenge: Simplifying the Hardware Product Portfolio
- Lessons Learned
- Endnotes
-
9. Increasing Sales Performance
- Perspective: Using Analytics to Optimize Sales Performance—Inside and Out
- Challenge: Deploying Sellers for Maximum Revenue Growth by Account
- Challenge: Deploying Sellers Within a Territory
- Challenge: Determining the Optimal Sales Coverage Investment by Account
- Online Commerce
- Challenge: Creating a Smarter Commerce B2B Solution to Drive Cross-Company Efficiencies
- Lessons Learned
- Endnotes
- 10. Delivering Services with Excellence
- 11. Reflections and a Look to the Future
- A. Big Data and Analytics Use Cases
- Glossary: Acronyms and Definitions of Key Big Data and Analytics Terms
- Index
Product information
- Title: Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics
- Author(s):
- Release date: May 2014
- Publisher(s): IBM Press
- ISBN: 9780133835922
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