Data has turned from a pure reporting source for administrative tasks to a critical asset for many lines of organizations. With the right data, organizations can optimize their business processes, improve customer relationships, and differentiate themselves from the competition. With that, the dependency of organizations on data has intensified.

Business users have become involved in the development, maintenance, and management of data models. With this, data models have become dynamic sources of information to understand data, and this requires a dynamic approach to data modeling. This approach means that organizations have to adopt agile data modeling, which is not an option, but essential. In this whitepaper, Rick Van Der Lans describes the crucial requirements for such agile data modeling.

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Topics: Data Modeling
Products: ER/Studio Data Architect, ER/Studio Enterprise Team Edition