DIY BI: A guide to self-service business intelligence implementation
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Self-service analytics tools are a top priority for many businesses right now, but those implementing this software may have a blind spot when it comes to their data governance strategies.
The most recent Gartner Magic Quadrant for BI and analytics noted that, while many businesses are rushing ahead with implementation of self-service and visualization software, most available tools lack effective governance control.
Simply putting in place analytics tools for line-of-business users doesn't guarantee results and may even represent a risk to an enterprise's data quality.
In this Talking Data podcast, TechTarget editors Ed Burns and Jack Vaughan recap Ed's recent trip to the TDWI BI Executive Summit in Las Vegas, where data governance in a self-service world was a subject of hot debate.
Read more about striking the right data governance balance
See how teams from multiple departments can help build an effective strategy
Learn why the work of developing a governance strategy is never really done
Read why data governance is critical in a big data world
Speakers at the conference talked about what you can safely push off of IT and on to the businesses users and what you can't. The question of whether data should be considered an asset also came up.
With businesses increasingly looking to extract value from data, it's become almost an article of faith to believe that data is an asset. But not everyone at the conference agreed.
Without addressing governance concerns, self-service analytics initiatives may struggle to deliver their promised value.
Take a listen to the podcast to hear the latest thinking about how to structure data governance strategies while implementing data visualization self-service analytical tools.