Conquer the Chaos with Governed Self-Service BI update from May 2017

Sponsored by: Pyramid Analytics

ITPro Today

May 1, 2017

2 Min Read
Conquer the Chaos with Governed Self-Service BI

Available On Demand

On its face, giving your users access to self-service BI tools appears to be a win-win scenario. Users can access and analyze information on their own while your backlog of reports to create or update is reduced or even eliminated. On the other hand, the transition to self-service BI can re-introduce the very problems that traditional centralized BI managed by IT was intended to solve -- multiple versions of the truth, inconsistent data quality, untrusted data, and the proliferation of data silos and spreadmarts. In short, data chaos.

Attend this web seminar with BI expert Stacia Varga to learn how you can overcome or even avoid these problems. By implementing a governed self-service BI solution, you can help users help themselves without sacrificing flexibility, manageability, or data security. In this session, Varga and Dan Wilmot from Pyramid Analytics, will talk about:

  • Guidelines for implementing a governed BI environment

  • Strategies for balancing self-service agility with organizational governance

  • Criteria for choosing a self-service platform that supports governance best practices

Register Now!

If you have already registered, click here to access

Speakers:

Stacia Varga is a six-time MVP, consultant, trainer, and author, and has worked with business intelligence technologies since 1999. She founded her company Data Inspirations in 2006. She has authored or co-authored 12 books on different aspects SQL Server BI and has written articles for SQL Server Magazine and TechNet Magazine. She is also a frequent speaker at PASS and SQL Server Connections conferences.  

Dan Wilmot comes to Pyramid Analytics after 17 years in the BI industry.  He started in technical support and training for ProClarity.  Since then he has consulted on, built, and managed end-to-end BI solutions around the world, for every size of company.

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