In my September DMReview.com column, I talked about some of the challenges inherent in implementing an enterprise data management (EDM) program. I focused on discussing strategies for analyzing information needs, results metrics and information sources; key areas to focus on to measure results; and challenges that should be addressed on the path to an effective implementation. This month, I'd like to finish the discussion by talking about the components of a robust EDM program.What often makes EDM so challenging is that technology is evolving at a rapid pace. Advancements seem to appear daily. Some of the newer technologies that companies are incorporating into their EDM programs are unstructured content management and analysis, electronic data sharing (such as e-record sharing between health care providers, and product information between vendors and customers).

There have also been rapid advances in linking physical and digital data (such as radio frequency ID technologies) that help companies gather more information about customer behavior. The desire to implement these new technologies, along with the other challenges that we discussed last month, can make developing an effective EDM program an especially complex and problematic endeavor. Further, it is often difficult to pinpoint what an effective program really looks like.

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