Big data and data governance are both hot topics, writes April Reeve in Forbes magazine, but for the most part, they’re ships that pass in the night. Most companies have data governance programs, but they’re focused on data in relational databases; the volume of unstructured data is greater, and increasing steadily.
Meanwhile, companies aren’t getting the results they’re after from their content management systems because there hasn’t been sufficient governance designed into the implementations.
Don’t do big data analytics alone, says expert
Reeve outlines two challenges to governance of big data. First, tagging and filing of unstructured data must become an automated process, since the volume is beyond the capabilities of manual processing. Second, analysis must move beyond the silos of structured and unstructured data, crossing data types for search and analysis.
A New Application Development Approach for Today’s Speed of Business
As IT departments’ lists of backlogged application development projects keep growing, so does the speed of new development requests from line-of-business personnel. For many IT departments, the speed of business can’t be met under current practices. This inability to keep pace with critical development requests, supporting timely strategy modifications, seriously impacts an enterprise’s profitability.