Managing Data Diversity Within the Data and Analytics Infrastructure Model
Published: September 18, 2018
What’s included in this report:
Today’s data environment is increasingly complex and dynamic, creating enormous data management challenges. Data and analytics leaders can constrain the complexity of this changing environment by using Gartner’s data and analytics infrastructure model to understand and address different use cases.
- Use Metadata as a Means of Establishing Trust Levels
- Increasing Trust in Data Comes with Greater Knowledge of the Data
- Ensure that the Implications of Mixing Data are Recognized and Understood
Feel free to share this page with others on your team and to distribute to leaders who may need supporting material to determine the potential and value of intelligent automation.
Want to discuss?
After reviewing the Gartner report, contact us to discuss a better way to manage all the various types of data you encounter, as well as gain the most valuable insights from all that information.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.
Managing Data Diversity Within the Data and Analytics Infrastructure Model, Rick Greenwald, Adam Ronthal, 18 September 2018