Data Governance
About this topic
Data governance is the specification of decision rights and an accountability framework to ensure the appropriate behavior in the valuation, creation, consumption and control of data and analytics.
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Community Posts
The data19%
The people43%
The processes21%
The policies12%
I wish I knew5%
Have there been any technologies or tools that helped you implement adaptive data and analytics governance?
Yes, but it doesn’t exist yet25%
Yes, and it already exists43%
No, but I wish23%
No, and I don’t think it needs to8%
What are the standard Service level indicators used when creating SLA document for Data Engineering products? I assume indicators like when new data will be populated for data products (all the previous day business transaction will be available by 9am, all source transaction reflected with in 30 mins etc) and accuracy and quality would be important. Is there Industry standard Indicators used to represent data product SLA? It would be amazing someone could share what they are using.
I’m looking for current insights on CluedIn. Their product and pricing model make it appealing for a proof of concept for an MDM system. However, their sales practices including limited access to demos and technical resources give me the gut feeling they cannot deliver.
Limited resources13%
Siloed data40%
Lack of leadership21%
Poor data quality & context18%
Lack of data control5%
Other (please explain in the comments)