Summary of Webinar | How to define a Data Strategy.

This is an AI generated summary. There may be inaccuracies.
Summarize another video · Purchase summarize.tech Premium

00:00:00 - 00:20:00

This webinar provides an overview of a data strategy, which is important for organizations in order to achieve their vision and values. The data strategy includes six pillars: vision, value, people, culture, frames, and use cases. The speaker discusses the importance of each pillar and provides a framework for organizations to follow.

  • 00:00:00 This 1-hour webinar provides an overview of a data strategy, which includes defining an agenda, establishing levels of strategy, and executing strategy. The webinar also covers the concepts of business value and how to deliver it through data use.
  • 00:05:00 Data strategy is important for organizations in order to achieve their vision and values. The six pillars of a data strategy are vision, value, people, culture, frames, and use cases. People and culture are key to ensuring that business value is delivered from data. The skills and people required for a data strategy are outlined, and a senior data leader is needed to deliver the strategy.
  • 00:10:00 The speaker discusses the importance of data strategy and how it includes understanding business problems, designing solutions, deploying solutions, and managing data governance. The speaker also discusses the role of data products and data operations in data strategy.
  • 00:15:00 This Webinar discusses the different aspects of a data strategy, including defining a data governance framework, building trust in data, and developing a roadmap. It also discusses the importance of technology and architecture in a data strategy.
  • 00:20:00 The presenter discusses the importance of data strategy and provides a framework for organizing data-related efforts. They suggest that organizations should focus on all the pillars of data strategy, and that planning should be done on a monthly or yearly basis rather than a fixed timeline.

Copyright © 2024 Summarize, LLC. All rights reserved. · Terms of Service · Privacy Policy · As an Amazon Associate, summarize.tech earns from qualifying purchases.