Enterprise Trends driving Data Management

Blogger: Lyn Robison

Three data management trends seem to be driving enterprise data management to higher levels of attention and importance. Those trends are:

1. Regulatory and compliance requirements
2. Enterprises’ desire to do more with the systems they already have
3. Information management as a differentiator.

1. Regulatory and compliance requirements are forcing enterprises to exercise a modicum of competence in data management. The traditional view is that applications own their data. This view results in fragmented, duplicated, balkanized data. When IT people concentrate on managing applications and letting those applications manage their data, they are not performing competent data management. Enterprises face regulatory requirements to manage their data as a whole, and thus the discipline of data management is becoming important.

2. During this economic recession, enterprises are being forced to make do with what they have. There is not a lot of money for new information systems and IT infrastructure. Companies are generally trying to spend less on IT, not more. Smart enterprises are realizing that the best way to get more out of information systems is to do a better job of managing the data inside those systems so that those systems produce better information. This realization is elevating the status of data management.

3. Enterprises are finding that information management is a differentiator. Every large enterprise has an IT department and a bunch of systems. Having an IT department and IT systems does not differentiate an enterprise, but managing the information inside those systems does. Any enterprise that does a better job of managing its information than its competitors do will differentiate itself in the marketplace. This fact will make data management all the more important during this economic recession.

Comments

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Great Information. That sounds great. Really helpful thanks for the Article, Great job, hope we can expect more articles like this. All the Best

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It has always been about data models for industry key services. The better data processing as per sub-system, the better results for business services.