Jim Harris

My name is Jim Harris, I am the Blogger-in-Chief of OCDQ Blog, and an independent consultant, speaker, and freelance writer for hire.

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« The Stakeholder’s Dilemma | Main | Data Governance and Information Quality 2011 »
Thursday
Jul072011

Data Profiling Early and Often

OCDQ Radio is a vendor-neutral podcast about data quality and its related disciplines, produced and hosted by Jim Harris.

On this episode of OCDQ Radio, I discuss data profiling with James Standen, the founder and CEO of nModal Solutions Inc., the makers of Datamartist, which is a fast, easy to use, visual data profiling and transformation tool.

Before founding nModal, James had over 15 years experience in a broad range of roles involving data, ranging from building business intelligence solutions, creating data warehouses and a data warehouse competency center, through to working on data migration and ERP projects in large organizations.  You can learn more about and connect with James Standen on LinkedIn.

James thinks that while there is obviously good data and bad data, that often bad data is just misunderstood and can be coaxed away from the dark side if you know how to approach it.  He does recommend wearing the proper safety equipment however, and having the right tools.  For more of his wit and wisdom, follow Datamartist on Twitter, and read the Datamartist Blog.

 

Data Profiling Early and Often

Additional listening options:

 

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Reader Comments (1)

Data Profiling on OCDQ Radio: Great topic covered well by the James Gang, Jim Harris and James Standen (Datamartist).

Found myself nodding in agreement all through the interview. James' expertise and passion for DQ through profiling shone through every segment. I also have found that data profiling early is a powerful way of starting the conversation between the technical folks, IT, and the business side.

Loved the opening pithy comment: "Data models are the theory, and data profiles show the practice!"

This was the first OCDQ Radio podcast I listened to but I'll be listening to all of them now. It is a lot easier to listen to podcasts while driving than reviewing the #DataQuality stream in the Twitterverse.

Kudos on the great idea Jim.

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