Analytics: How to Win with Intelligence
Analytics: How to Win with Intelligence, by John Thompson and Shawn Rogers
Learn how big data and other sources of information can be transformed into valuable knowledge – knowledge that can create incredible competitive advantage to propel a business toward market leadership.
Topics
Foreword by Tom Davenport
CHAPTER 1: Competitive Advantage Stemming from Analytics
New opportunities
The essential role of data and analytics
A brief history of analytics
Data gets big
Does size matter?
The challenge of data management
“Analytics” defined
An inflection point: three major trends
The rise of “citizen data scientists”
The availability of easy-to-use, cheaper technology
The abundance of data
Challenges ahead
Conclusion
CHAPTER 2: Understanding Advanced Analytics
Advanced analytics: then and now
The power of agile methodologies
Advanced analytics today
The process of advanced analytics
The future of advanced analytics
Conclusion
CHAPTER 3: The Age of the Algorithm Economy
Beyond the digital economy
It’s not just about the data
Creating products using data and insights
Reinvention through algorithms
Don’t reinvent the wheel – borrow it
Algorithms gone wild
Conclusion
CHAPTER 4: The Modern Data Ecosystem
1. Maturing users
2. New technologies
3. Decreasing cost barriers
4. Abundant data
Ecosystem challenges
Conclusion
CHAPTER 5: Analytics Takes a Village: Building and Enabling the Right Team
Analytic Centers of Excellence (COEs)
The Chief Analytics Officer
COE organizational models
The COE staff
Different data scientist roles
Citizen data scientists
The COE in action
Conclusion
CHAPTER 6: Getting Started
Build or buy?
Crucial user interfaces
The monetization of data
Consider. Think. Decide.
A hypothetical project
Conclusion
CHAPTER 7: Operational Analytics: Advanced Analytics in the Modern Corporation
Marketing/Sales
Financial services
Logistics/Supply chain
Manufacturing
Process manufacturing
Discrete manufacturing
Fraud and theft
Conclusion
CHAPTER 8: Analytics Everywhere, All the Time
Agile and ubiquitous
Real time
Speed, measured in hours
Model portability
Models everywhere
Moving models to the data
Limited only by the imagination
ADP
Whirlpool
Georgia Aquarium
NASCAR
Conclusion
Chapter 9: Innovative or Icky?
Pushing the innovation envelope
Context, permission, and accuracy
Target’s targeting of pregnant women
About those “free” drinks
That feeling of being watched
Finding the right path
Conclusion
CHAPTER 10: What Now?
Reason for fear?
A tool for augmenting human capacities
A new era
Conclusion
Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy.
Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? That’s the objective of this book – to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.
We are moving into an era where information is potentially more valuable than tangible things or services. Organizations who connect information with their product will have a huge advantage, and conversely organizations that miss this transformation will find themselves increasingly un-competitive. No longer just something for the Information Technologists or Data Scientists to deal with, everyone who makes things or serves customers in some way needs to understand how people interact with their product or service in a very granular way. This book will help people in business and government understand the power of data analytics technology and how some of the tools available can be applied to a wide range of applications. John Swainson, former President, Dell Software Group
John and Shawn bring decades of hands on experience helping clients understand where and how data and analytics can deliver business value and market differentiation. The authors do not get bogged down in the technology tail-chase, but instead provides clear and actionable guidance on how organizations need to embrace a ‘business first’ approach when considering how to exploit the business potential of big data. Like I ask my clients, “How effective is your organization at leveraging data and analytics to power your business?” It’s a question this book will help you to address. Bill Schmarzo, CTO Big Data, Dell Technologies Services
One could argue – and probably easily win the argument – that there has been more change in analytics over the past ten years than at any time in the history of the world. For that reason alone, a book like this one that provides a clear-eyed assessment of the state of the art in analytics is enormously valuable. Thomas H. Davenport
About John and Shawn
John Thompson is an international technology executive with over 30 years of experience in building and growing technology companies. Most recently, John led the advanced analytics business unit of the Dell Software Group. Mr. Thompson’s technology expertise includes all aspects of advanced analytics and information management, including descriptive, predictive and prescriptive analytics, analytical applications, deep learning, cognitive computing, big data, data warehousing, business intelligence systems, and high performance computing. John has built start-up organizations from the ground up, and he has reengineered business units of Fortune 500 firms to reach their potential. He has directly managed and run sales, marketing, consulting, support and product development organizations.
Shawn Rogers is Senior Director of Analytic Strategy for TIBCO Software, Inc. Shawn is an internationally recognized thought leader, speaker, author, and instructor on the topics of IoT, big data, analytics, cloud, data integration, data warehousing, and social analytics.
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