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Successful data stewardship framework needs solid plan, firm focus
This article is part of the Nov. 2012, Volume 1, Issue 11 issue of BI Trends + Strategies
There are multiple hurdles to get over along the path to effective data stewardship, but perhaps none is as daunting as the realization that the process involves a healthy dose of plain old hard work -- often without the promise of a payoff that can be easily documented. The primary benefit of a well-executed data stewardship program is substantial: clean, accurate and consistent data across an organization, thanks to the work of data stewards in developing common data definitions and ensuring that business users adhere to rules on data entry and usage. Compared with the cost savings and competitive advantages offered by other technology and data management initiatives, though, the fruits of a data stewardship framework are more subtle and less widely recognized. As a result, stewardship efforts are prone to floundering once they get going, according to analysts such as Shawn Rogers, who heads business intelligence (BI) and data warehousing research at consultancy Enterprise Management Associates Inc. in Boulder, Colo. "There's ...
Features in this issue
With data visualization tools offering more and more functionality, managing projects to visualize data is becoming a bigger challenge for BI teams.
Data visualizations have become key components of BI applications. But there's more than meets the eye to enabling end users to 'see' information.
Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.
Columns in this issue
Big data analytics applications require high-speed data availability. But one key part of many IT infrastructures isn't prepared for that challenge.