• Online
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Manual to Modern: Automating and Realizing New Benefits with Data Governance


  • Webcast


  • Data Governance
  • Data Management

In an ever-increasingly data-centric world, an organization’s data estate features more data, in more varied forms, which is more rapidly ingested. There is also an increasing interest in combining data across solutions. The governance of any such data estate is critical.

While organizations have recognized the need for Data Governance, implementation has historically been challenging and has taken a back seat. As such, many organizations have been more reactive than proactive. This is rapidly changing.

Given this backdrop, it is important that organizations quickly understand and embrace modern Data Governance tools and techniques. In addition to using automated data discovery to catalog data, we can also use tools to help us proactively manage our data. This makes it easier than ever before for organizations to maximize the returns on their data assets while reducing risk.

This Thorogood recorded webinar, informed by experience with leading enterprise organizations, will explore existing and future state Data Governance approaches. Thorogood Data and Analytics consultants James Leonard and Sushma Sekar explore the frameworks and considerations, and demonstrate and highlight the value that can be unlocked by organizations using tools such as Microsoft Purview and Databricks Unity Catalog.

Manual to Modern Automating and Realizing New Benefits with Data Governance (25 mins)

What we cover:

  • An overview of Data Governance topics and an explanation of past approaches in this area
  • An exploration of how organizations are modernizing their data governance approaches
  • Some of the key benefits of automating and embracing modern methods of Data Governance

Is it for you:

  • Are you responsible for managing a data estate?
  • Are you involved with existing data governance initiatives at your organization?
  • Are you a data consumer, frequently seeking to understand more about data sets?