Gartner Research

China Summary Translation: 'Predicts 2017: Analytics Strategy and Technology'

Published: 19 May 2017

ID: G00328212

Analyst(s): Owen Chen , Kurt Schlegel

Summary

Data and analytics leaders will increasingly benefit from the automation of data science tasks to make both professional and citizen data scientists more productive. This trend will help overcome the skills gap, but also requires increased governance of how analytic content is disseminated.

Table Of Contents

主要挑战

建议

Predicts 2017: Analytics Strategy and Technology

  • Key Findings
  • Recommendations

Analysis

  • What You Need to Know
  • A Look Back

Gartner Recommended Reading

©2020 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.