Gradient

Data Science Project Planning Worksheet

Whether your next AI or ML solution involves an in-house data science team or an external partner, clarifying the items included in this worksheet will enable you to

  • communicate with data scientists more effectively from the get-go;
  • ensure timely delivery;
  • optimized cost;
  • increase the value of outcomes.

The worksheet is based on the survey that the Starschema data science team uses to plan projects for some of the most demanding clients in a variety of business, technological and scientific environments, and provides a handy aid for defining and organizing your needs and challenges.

Thank you, download the worksheet below!

Download

“Why Did This Happen?” New Horizons in Root Cause Analysis

Learn about core concepts of root cause analysis, the advantages and disadvantages of the most popular tools and techniques in the field and find out what the cutting-edge looks like.

Telco Location Data Monetization

A global telecommunications company opened a new revenue stream and made it profitable in just two years.

Automating BI Analytical Tasks with Anomaly Detection and NLG Summation

Learn how to design and implement a complex solution that automatically identifies anomalies in organizational data, provides relevant context and communicates it all in an easy-to-consume form to augment analysts' work.

Effective Location Data Monetization: Strategic and Technical Enablers

Geolocation data provides invaluable insights into the habits and preferences of users, customers and audiences. This white paper helps understand the fundamental opportunities and challenges inherent in using location data for business-critical processes in any industry.