On May 28, industry experts, advisers and visionaries convened on Twitter to discuss trends in data governance during our bi-weekly #IMChat. Governance is an amorphous issue, the importance of which can be lost in business translation. With the rapid influx of social media data and “big data” in general, overlooking the governance details can be disastrous. What’s driving change in the data governance landscape? What’s the most important component of a data governance plan? And how do you measure your success (or lack thereof)?

Information Management Editor-in-Chief Julie Langenkamp-Muenkel (@JulieLangenkamp) moderated a lively chat which addressed all these questions and more.

What are the biggest drivers of change in the current data governance landscape?

@DnBUS: Compliance--and a changing regulatory landscape--is driving change in data governance.

‪@azornes: ‪#BigData requires both ‪#MDM & ‪#DataGovernance to be effective & sustainable

‪@WhitneyAEden: Cloud & social have definitely brought their own unique challenges.

‪@azornes mentioned big data - How does big data impact data governance? What about social data?

‪@azornes: For many orgs, existing IT architectures are becoming obsolete & suffer from lack of support 4 Mobile, Social, Cloud & R/T Info trends 

‪@DnBUS: With social, do you need a customer steward who understands social media privacy laws & regs? Golden records can get you in trouble.

‪@azornes: once leading-edge MDM architectures are quickly becoming obsolescent & IT "money pits“ when they don't have strong #DataGovernance 

How do you convince business of the importance of DG and need for full alignment w/ corporate governance?

‪@InfoMgmtExec: Business will react to "Burning Platform" in terms of need for ‪#datagovernance e.g. Compliance, Regulations, Privacy Breeches.

‪@DnBUS: Horror stories are pretty compelling--demonstrate the disasters that can be avoided through good data governance.

‪@azornes: orgs must invest in ‪#DataGovernance for long-term sustainability & ROI of MDM else the business initiatives fail ... simple…

What are the most important components of a data governance strategy & policy today?

‪@DnBUS: Data governance policies need to be open to discovering (& answering) new questions around unstructured data, modern platforms. 

‪@azornes: in addition to"people, process & technology" mantra, enterprise needs degree of proactive/active/integrated MDM governance ... 

‪@InfoMgmtExec: Cultural Adoption ‪#datagovernance is single biggest challenge to creating & sustaining successful program. It eats strategy for lunch!

‪@ReggieCLim: I think executive sponsorship 

‪@WhitneyAEden: ‪@ReggieCLim Agreed. I think proving the ROI of your program goes a long way in getting executive-level buy-in 

What are the biggest human-related challenges to DG, & how do you address them? How important is change management?

‪@DnBUS: Employees need to know what data governance looks like in their role. Can't just define it--needs to be designed. ‪@tamaradull

‪@azornes: acknowledge that manual ‪#DataGovernance is error prone, time-consuming & unable 2 ensure compliance or measure business impact

‪@WhitneyAEden: I think carefully-planned workshops are key. But, for everyone's sake, make them brief. No one needs another 3 hr meeting

How do you measure the success of your data governance program?

‪@azornes: *dilemma*=business users detest "governance" intrusion yet look ‪@ raw # of people w/ "DataGovernance in job title past 3 years! 

‪@DnBUS: How about measuring the governance process itself (defining, implementing & enforcing data policies)? Is it moving maturity?

How do you ensure your data governance program is sustainable?

@DnBUS: Collaboration + responsibility + accountability among biz process owners, data stewards, data managers.

‪@azornes: Each & every consuming & producing org has duty or role in ‪#DataGovernance of master data ‪#MDM#RDM 

‪@jgrecco13: Marketing and Data Management are collaborating more. We hold frequent meetings to ensure data meets changing needs. ‪

Join us June 11th at 1PM ET for the #IMChat on data visualization.

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