Gartner® Hype Cycle™ for Data Management 2024
Read The Report
Gartner® Data Management 2024
Read The Report

Why self-service data management
is no longer optional

Get your complimentary copy of the Gartner® Hype Cycle™ for Data Management 2024 to learn why self-service is a must-have for data-driven organizations.

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Gartner Hype Cycle Data Management 2024

The data management landscape is constantly changing, and staying ahead of the curve is crucial for success. Retaining both data governance yet allowing business teams to get data products quickly is especially challenging for larger companies. The Gartner Hype Cycle for Data Management 2024 provides valuable insights into the latest trends and technologies, mentions self-service data management as an "innovation trigger."

What does this mean for you?

  • Data democratization is no longer optional. As concepts like DataOps and Data Mesh evolve, self-service data management emerges as a critical driver of agility and efficiency.
  • Empower your teams with unimpeded data access. Self-service BI tools enable data engineers, architects, and analysts to access the data they need, when they need it, fostering a culture of data-driven decision-making.
  • Embrace the shift from centralized to domain-oriented data management. Self-service empowers domain experts to take ownership of their data, leading to greater accuracy, relevance, and speed in data analysis.

Download your complimentary copy of the Gartner Hype Cycle for Data Management 2024 report to:

  • Understand the importance of self-service data management in today's rapidly evolving data landscape.
  • Discover how Keboola can help you implement robust data governance and benefit from self-service data management solutions.

This graphic was published by Gartner Inc., as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available from Keboola upon request.

GARTNER is a registered trademark and service mark of Gartner and Hype Cycle are a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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