Stephen E. Arnold: Big Data Quality Not Happening

IO Impotency
Stephen E. Arnold
Stephen E. Arnold

Mastering Data Quality Requires Change

Big data means big changes for data management and ensuring its quality. Computer users, especially those ingrained in their ways, have never been keen on changing their habits. Insert trainings and meetings, then you have a general idea of what it takes to install data acceptance. Dylan Jones at SAS’s Data Roundtable wrote an editorial, “Data Quality Mastery Depends On Change Management Essentials.”

Jones writes that data management is still viewed as a strict IT domain and data quality suffers from it. It required change management to make other departments understand about the necessity for the changes.

Change management involves:

• “Ownership and leadership from the top

• Alignment with the overall strategy of the organization

• A clear vision for data quality

• Constant dialogue and consultation”

Jones notes that leaders are difficult to work with when it comes to change implementation, because they do not see what the barriers are. It translates to a company’s failure to adapt and learn. He recommends having an outside consultant, with an objective perspective, help when trying to make big changes.

Jones makes good suggestions, but he lacks any advice on how to feasibly accomplish a task. What he also needs to consider is data quality is constantly changing as new advances are made. Is he aware that some users cannot keep up with the daily changes?

Whitney Grace, December 31, 2014
Sponsored by, developer of Augmentext

Opt in for free daily update from this free blog. Separately The Steele Report ($11/mo) offers weekly text report and live webinar exclusive to paid subscribers, who can also ask questions of Robert. Or donate to ask questions directly of Robert.