This week Brian O’Neill, founder of Designing for Analytics joins Allison Hartsoe in the Accelerator. To design for analytics means thinking through the myriad of human behaviors which support a successful outcome. From planning to process to production, designing for analytics is all about the right way to support decision making.
Tag Archives: Ambition Data
Investing in your Customers with MIT’s Michael Schrage
What is the one question you should be asking your customers that will completely change the way you think about your business? Similar in power to Levitt’s famous “What business are you in?” question, this new question, “The Ask” will revolutionize the way you think about customers and their value. Author Michael Schrage, a Research Fellow at the MIT Center for Digital Business, explains what “The Ask” is and, why is it so powerful? Along the way he shares examples from Apple, Dyson, McDonalds, the pharmaceutical industry and more who have reaped the benefits of how organizations can and should create value.
Customer Centric Product Development with Twitch’s June Dershewitz
Are product-centric organizations tone-deaf to customer needs and desires? How can you balance the two? June Dershewitz, Director of Analytics at Twitch (an Amazon company), explains how these mindsets are not mutually exclusive and when combined, can be incredibly powerful in driving both the bottom line and customer happiness. She offers three steps to take to adopt a similar approach, starting with setting clear, quantifiable goals, ensuring a balance between product- and customer-centric approaches to align everything with the company’s core values, and using data at each step in the innovation cycle to ensure product optimization.
The Customer as the Asset with Anthony Choe, Founder at Provenance
There is no such thing as an average customer. While it’s easy to say the customer is the most important asset, few have spent time quantifying what that truly means. Anthony Choe is one of those few. As Founder at Provenance, a progressive consumer private equity firm, Anthony uses Customer Lifetime Value as the primary lens for evaluating businesses. He explains how predictive CLV provides precision and allows both the investor and company to have a singular focus on the customer among all the data noise. With the amount of data and marketing tools available ever increasing, he believes CLV principles are timeless. Optimizing around CLV will always be the best answer, regardless of channel, regardless of the marketing message, regardless of shifting landscapes.
AI with Ash Dhupar, Chief Analytics Officer at Publishers Clearing House
The charm of AI may have been kept alive by both the science community and Hollywood, but Ash Dhupar knows its real-world application can have a huge impact on the bottom line. As Chief Analytics Officer at Publishers Clearing House, he and his team utilize 180 algorithms to predict LTV with a 2-3% accuracy. By adding the laser focus of CLV as an objective, the application of machine learning and AI techniques help to point to the most powerful marketing channels by attribution, better optimizing marketing dollars.