Gartner Research

How Data Science Teams Leverage Machine Learning and Other Advanced Analytics

Published: 09 March 2018

ID: G00341437

Analyst(s): Carlie Idoine , Peter Krensky


Gartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives. To drive these efforts, data and analytics leaders must partner with lines of business and carefully design data science teams and tools.

Table Of Contents
  • Key Challenges


  • Partner With LOB Leaders to Tackle Relevant Problems
  • Determine Which Approach and Capabilities You Are Looking for in a Data Science Solution
  • Maximize the Impact of Your Data Science Initiatives by Organizing Around Skill Sets and Users

Gartner Recommended Reading

©2021 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.