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Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights

Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights

Use Product Analytics to Understand and Change Consumer Behavior at Scale
Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change, at scale, what people do. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change.
This book fills the gaps that many other data science book leave behind: how to start a new data science project; how to conceptualize complex ideas; building metrics from the statistic and demographic fundamentals; projecting consumer populations and material needs for a business; and causal inference beyond simple A/B testing techniques, such as difference-in-difference, regression discontinuity, propensity score matching, and uplift modelling.
Writing for entrepreneurs, product managers, marketers, and other business analytics professionals, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in the R programming language, and getting answers you can trust.
Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits.
  • Develop core metrics and effective KPIs for user analytics in any web product
  • Truly understand statistical inference, and the differences between correlation and causation
  • Build intuitive predictive models to capture user behavior in products
  • Tease out causal effects from observational data using modern, quasi-experimental designs and statistical matching
  • Improve response through uplift modeling and other sophisticated targeting methods
  • Project business costs and product population changes via advanced demographic techniques
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside the book for details.
Principles of the Business Rule Approach

Principles of the Business Rule Approach

Ronald G. Ross

The idea of Business Rules has been around for a while. Simply put, a Business Rule is a statement that defines or constrains some aspect of the business. In practice they are meant to reduce or eliminate the delays, waste, and frustration associated with the IT department having to be involved with almost every action affecting an organization's information systems. The advent of Web services has created renewed interest in them. There are now several well established rules-based products that have demonstrated the effectiveness of their use. But until now there has not been a definitive guide to Business Rules. Ron Ross, considered to be the father of Business Rules, will help organizations apply this powerful solution to their own computer system problems. This book is intended to be the first book that anyone from an IT manager to a business manager will read to understand what Business Rules are, and what how they can be applied to their own situation.