52 Things We Wish Someone Had Told Us About Customer Analytics
Amazon
November 01, 2019
52 Things We Wish Someone Had Told Us About Customer Analytics is for anyone who uses customer information to make business decisions: CMOs, CEOs, product owners and the people who provide that information, e.g. data scientists, market researchers, business analysts. By tying impact to tools and techniques, through real-life stories, we hope to help decision makers better understand how to use customer data while helping data analysis providers understand how to create output that end users will value.This book provides 52 real-life anecdotes that illustrate important learnings about customer analytics. It draws from the worlds of big data and customer insights. It is our contribution to help managers do a better job using customer analytics (what to do and what not to do) so that the analytics actually makes a difference.Books on customer analytics (data science, business analysis, market research, whatever you like to call it) primarily exist in two categories: as academic texts, which discuss theoretical approaches to data analysis problems; or as technical texts, which teach the statistics or computer programming required to conduct an analysis. As the focus of these books is on analysis tools and techniques, fictitious examples are often used to explain main topics. Our book fills in the missing gap between these approaches by providing real-life, practical stories, tying analysis directly to business value.---"Essential reading for those who want to cut through all the hype of big data. This book has practical advice on how to have real financial and business impact, from the experienced authors who have done this in real life."John ForsythFormer Principal (Partner), McKinsey, former Head, McKinsey’s Global Customer Insights Practice
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Tags: Big Data, CRM, Customer Loyalty