Data governance has come a long, long way from expensive, hard to use MDM and legal apps of the past. Cloud services reign. #smartdatachat
— Chris Preimesberger (@editingwhiz) May 25, 2016
Executive management buy-in, organizational resistance, org. and operational complexity are among top challenges. #SmartDataChat
— Thor Olavsrud (@ThorOlavsrud) May 25, 2016
A2: #DataGovernance is critical because of its importance to decision-making. Often the data is the business. #smartdatachat
— Ken Hess (@kenhess) May 25, 2016
You want Data Governance to 'melt into the fabric of the firm’ #SmartDataChat.
— William McKnight (@williammcknight) May 25, 2016
Q5/A5 If it’s a threat, demands on transparency for things like #ClinicalTrials mean co's must figure it out #DataGovernance #SmartDataChat
— Casey McDonald (@mcd_casey) May 25, 2016
@CamSemantics but if #DataGovernance is done properly then it should be an enabler and successfully protect business. #SmartDataChat
— James Nunns (@JamesNunns) May 25, 2016
A5: not threat, but call to reassess strategy. #DataGovernance should not be static #SmartDataChat
— Bio-IT World (@bioitworld) May 25, 2016
The chat saw a total of 52 contributors, reaching 180,589 unique Twitter accounts with a potential 2.3 million impressions. We want to thank all the participants for a highly informative discussion, and we hope to do it again very soon. For a complete timeline of the Tweet chat, visit: #SmartDataChat.
To learn more about the Anzo Smart Data Lake™ and how it can help with data governance, watch our webinar "Smart Data Lakes: Discovery, Analytics and Governance" here.
