Jim Porzak
Former Senior Director
Minted
Wednesday, August 24th, 2016
Monday, May 7th, 2018
14:00 Data Structures for Customer Insights: Empowering Business Analysts and Data Scientists
Data which can be used for customer insights comes from a variety of sources, is often cluttered with operational system noise, and can be of dubious quality. Enabling business analysts and data scientists with a single source from which to derive the truth has enormous benefits. The trick is make the data 1) analyst ready, 2) complete at different levels of abstraction, and 3) model customer decision points.
Key Takeaways:
• Eliminate the noise from operational data
• Aggregating data to multiple levels of abstraction works for product and subscription businesses
• Making sense of unstructured data: Front line business analysts can answer their own ad hoc questions when given carefully structured data
Key Takeaways:
• Eliminate the noise from operational data
• Aggregating data to multiple levels of abstraction works for product and subscription businesses
• Making sense of unstructured data: Front line business analysts can answer their own ad hoc questions when given carefully structured data