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Introduction

By unleashing a growing number of users on more data, self-service data platforms run the risk of creating governance challenges. Ovum argues that a strong enterprise data culture is necessary to both help mitigate data management risks and successfully integrate data-driven decision-making across the enterprise.

Highlights

  • The creation of a successful enterprise data culture rests on empowering employees with contextualized insights while providing a framework of governance that enables data sharing and analytic exploration, all while minimizing the risks of data misuse.

Features and Benefits

  • Highlights the governance issues arising from the increased use of self-service analytics solutions.
  • Identifies ways for enterprises to better their data culture, enabling good data governance.

Key questions answered

  • How does the increasing use of self-service analytics solutions lead to data governance issues?
  • What can enterprises do to improve their data culture and address these governance issues?

Table of contents

Ovum view

  • Summary
  • Good data governance requires oversight and employee engagement
  • Guiding user experience is key for a strong data culture
  • Fostering collaboration to break down enterprise silos

Appendix

  • Further reading
  • Author

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