The reality you are facing every day is no secret:  diverse and distributed data, with questionable quality. As a result, your IT, and potentially the rest of your organization, is under tremendous pressure because self-service tends to be much more complex than expected.

So, how could you unlock the full potential of data, with reliable performance, in a governed way while keeping security in mind?

Data virtualization is likely your best answer.

Gartner predicts that by 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.

Don’t miss our webinar “How to Accelerate Self-service Analytics with Data Virtualization?”.  

In 45 minutes you will learn:

• How data virtualization differs from traditional data integration approaches
• Best practices, do’s and don’ts and practical use cases:
  • Find the right data efficiently, even when we are not familiar with the data models.
  • Browse the catalog and discover both internal and external data.
  • Enrich the metadata with tags, annotations and comments to foster collaboration.
  • Understand relationships and associations in the data, even across sources.
  • Build and share customized views of the data.
  • Share the data responsibly with multiple BI tools.
  • Safeguard that you only deliver the safe data with fine-grained security capabilities, including authentication, authorization and encryption.