Over the last decades information management has grown up from a small departmental initiative of individual tasks, such as documentation of database systems, re-active data cleansing, etc., to a broader rocket science of data governance aspects, such as data definitions and shared business vocabulary; metadata management; data modeling, data integration; data quality; data security; master data management; content management; and taxonomy design and maintenance. The growing amount of data and applications in an enterprise; multiple ways of information representation (structured and unstructured); more complicated business processes, where most of them need to be compliant with federal laws; global extension of business; and new local requirements are just some of the drivers to be mentioned to develop an information management strategy that covers all data, all applications, and all process of an enterprise.rnSuddenly, during the last year with the financial markets crisis many things changed. It is still obvious to everybody that especially now it is the time to invest into one of the most valuable assets inside an organization, the data and the management of the data. But the pictures of enterprise-wide deployment of information management strategies are really bright in a tunnel that is limited by pressures of cost efficiency and reduced expenses. It is now essential to walk through the tunnel in smaller steps with defined milestones that produce additional value to the organization already during implementation steps. That said, it is time for a Lean and Agile Enterprise Information Management deployment!
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