Monetizing Your Data: A Guide to Turning Data into Profit-Driving Strategies and Solutions
- 4h 41m
- Andrew Wells, Kathy Chiang
- John Wiley & Sons (US)
- 2017
Transforming data into revenue generating strategies and actions
Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns.
This book shows you how to use your data to:
- Monetize your data to drive revenue and cut costs
- Connect your data to decisions that drive action and deliver value
- Develop analytic tools to guide managers up and down the ladder to better decisions
Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.
About the Authors
ANDREW ROMAN WELLS is the CEO of Aspirent, a management consulting firm focused on analytics. He has extensive experience building analytical solutions for a wide range of companies, from Fortune 500s to small non-profits. Mr. Wells focuses on helping organizations utilize their data to make impactful decisions that drive revenue through monetization strategies. He has been building analytical solutions for over 25 years and is excited to share these practical methods, tools, and techniques with a wider audience. Mr. Wells earned a Bachelor's degree in Business Administration with a focus on Finance and Management Information Systems from the University of Georgia.
KATHY WILLIAMS CHIANG is an established business analytics practitioner with expertise in guided analytics, analytic data mart development, and business planning. Prior to her current position as vice president of business insights at Wunderman Data Management, Ms. Chiang consulted with Aspirent on numerous analytic projects for several multinational clients including IHG and Coca Cola, among others. She has also worked for multinational corporations including Telecommunications Systems of Trinidad and Tobago, Acuity Brands Lighting, BellSouth International, and Portman Overseas. Ms. Chiang is experienced in designing and developing analytic tools and management dashboards that inform, matter, and drive action. She is highly skilled in data exploration, analysis, visualization, and presentation, and has developed solutions in the telecom, hospitality, and consumer products industries covering customer experience, marketing campaigns, revenue management, and web analytics. Ms. Chiang, a native of New Orleans, holds a Bachelor of Science degree in Chemistry, summa cum laude with University honors (4.0), from Louisiana State University, as well as an MBA from Tulane University. She is a member of Phi Beta Kappa and Mensa.
In this Book
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Introduction
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Analytical Cycle—Driving Quality Decisions
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Decision Architecture Methodology—Closing the Gap
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Decision Analysis—Architecting Decisions
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Monetization Strategy—Making Data Pay
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Monetization Guiding Principles—Making it Solid
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Product Profitability Monetization Strategy—A Case Study
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Decision Theory—Making it Rational
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Data Science—Making it Smart
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Data Development—Making it Organized
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Guided Analytics—Making it Relevant
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User Interface (UI)—Making it Clear
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User Experience (UX)—Making it Work
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Agile Approach—Getting Agile
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Enablement—Gaining Adoption
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Analytical Organization—Getting Organized
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Case Study—Michael Andrews Bespoke
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Bibliography