Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. It is also important to have a strong test and learn culture to encourage rapid experimentation. What differentiates Fractal Analytics?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataRobot

JANUARY 13, 2022

Even if a data scientist has worked with a particular type of customer data before, their domain expertise doesn’t always translate into actionable insights for the business. It’s easy to deploy, monitor, and manage models in production and react to changing conditions. AI in Customer Analytics: Tapping Your Data for Success.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Occam's Razor

FEBRUARY 7, 2011

The best option is to hire a statistician with experience in data modeling and forecasting. Two other quick things… Churn is a term most closely associated with customers you have acquired (and then failed to retain) and not so much to "fly by night" Visitors on your site. If you have Web Analytics 2.0

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94