Beschreibung 52 Things We Wish Someone Had Told Us About Customer Analytics. 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---"Mike and Alex have delivered an entertaining and highly readable romp through many aspects of customer analysis—from qualitative focus groups through to terrabytes of big data; and utilizing many real-world examples to reinforce their points. They employ a relentless focus on the use of analysis to deliver meaningful and impactful business value … and that should matter to you, too, whether you’re the CEO, the product owner or a junior analyst delivering the work."George HaylettFormer Asia Analytics Head for Amex, Citibank and HSBC---"Significance. Reliability. Confidence. These and other such terms can be a mantra for both suppliers and buyers of data and analytics. Whether it be big data, qualitative research or something in between; sampling, statistics and “findings” are often the drivers of customer or business analytic exercises. But what about relevance? If the results cannot direct business decisions, what does it matter how “accurate” they are? Used correctly, such analytics are an enormously powerful driver of business performance and profitability. But only if the findings have business salience or business significance. Otherwise, aren’t they just another type of BS? In this book, Mike and Alex Sherman lay out some wonderful examples of how the time and money spent on business analytics can transform decision-making or be a complete waste of time. It contains great lessons for buyers and users of such services. But I would also commend it to consultants and suppliers. We shouldn’t need to sell what a computer can do with data. We should be promoting what humans and businesses can do by asking the right questions of the results."Adrian ChedoreFormer CEO of Synovate---"This book thoughtfully and practically reminds us that, as we continue to further automate consumer insight analytics efforts with the newest analytics and AI technology, human thinking and human understanding of the fundamental purpose of the analysis, and of the questions that are essential to understanding that purpose, becomes even more important."Professor Steven MillerVice Provost (Research), Singapore Management University
52 Things We Wish Someone Had Told Us About Customer ~ 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 .
52 Things We Wish Someone Had Told Us About Customer Analytics ~ 52 Things We Wish Someone Had Told Us About Customer Analytics . Influencing Customer Behavior With The Power Of Analytics - Duration: 33:46. Sapphire Ventures 21,544 views. 33:46. China's .
52 Things We Wish Someone Had Told Us About Customer ~ 52 Things We Wish Someone Had Told Us About Customer Analytics 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.
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Was ist Kundenanalyse (Customer Analytics)? - Definition ~ Kundenanalyse (Customer Analytics) ist eine Methode, um eine ganzheitliche Sicht auf den Kunden zu erhalten. Das soll eine langfristige Kundenbindung ermöglichen.
What is Customer Analytics? Why is a Customer Analysis ~ This information can help us with planning our strategies and make the purchase process easier for our customers. With Google Analytics, we don’t just get the data for traffic to our site from Google, but also from MSN and Yahoo! Search engines. Choosing a customer analytics tool. With a number of options providing a variety of attractive features, it might become overwhelming with selecting .
What is customer analytics (customer data analytics ~ customer analytics (customer data analytics): Customer analytics, also called customer data analytics , is the systematic examination of a company's customer information and customer behavior to identify, attract and retain the most profitable customers.
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6 Things I Wish Someone Told Me When I Was New to PPC ~ What follows are a few things I wish someone had told me when I was new to PPC. 1. Take Advantage of Learning Opportunities. In the past, learning opportunities were scarcer, and a new PPC manager .
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Customer Analytics / Discover ~ At Customer Analytics, we seek to balance the technological component with the human side. To this end, the ratio character “:” symbolizing proportionality has been introduced in the logo, not simply as an element of design, but to highlight the importance of balance within Customer Analytics. This thought is also characterized by our tagline Human Technology. The theme of balance is .
10 things you should know about your customer ~ 10 things you should know about your customer Published on January 12, 2016 January 12, 2016 • 286 Likes • 27 Comments
10 Common Phrases You Should Never Say to Your Customers ~ We all know the answer, of course, through our own experiences as customers looking for help: service representatives often say stupid things, either out of ignorance or out of negligence, leaving us unvalued and angry. There are some sentences that should never be said to customers, ever. Yet they are being said all the time.
6 Things You Should Never Say to a Customer ~ Although there is a direct correlation between how we think (our attitudes) and what we do (our behaviors), the only way to help your employees change poor performance is to focus on their behaviors. What they do and say. How they are acting. But it’s not black and white. While you can’t change your employees’ moods or attitudes - they need to do that for themselves - you can influence .
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