Key Factors on the Journey to Become Model-Driven


Survey Report on Data Science Management

With the growth, change, and perhaps excessive hype in data science today, many in the field are interested in better understanding how their data science management programs compare with programs in other companies. To help provide this insight, Domino Data Lab conducted a survey of more than 250 data science leaders and practitioners across organizations of all sizes and a variety of industries.

In this document, we provide both the results of the survey as well as an analysis of responses to help guide organizations on their journey to become model-driven.

Read this report to understand:

  • 4 key challenges preventing organizations from becoming model-driven
  • Characteristics of 3 distinct segments of data science maturity
  • A framework for becoming model-driven

Download the Survey Report

Latest resources


The Practical Guide to Managing Data Science at Scale


The Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020


Model Monitoring Best Practices


Accelerate Adoption of SAS Data Science Use Cases in the Cloud Using Domino

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