Data warehousing: architecture and implementation by Mark W. Humphries, Michael W. Hawkins, Michelle C. Dy

By Mark W. Humphries, Michael W. Hawkins, Michelle C. Dy

Offers a radical assessment of cutting-edge most sensible ideas, & a competent step by step technique for construction warehouses that meet their pursuits

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Actual historical values are not stored on the operational system nor derived by adding or subtracting transaction values against the latest balance. Instead, historical data are loaded and integrated with other data in the warehouse for quick access. To Slice and Dice Through Data As stated earlier in this chapter, dynamic reports allow users to view warehouse data from different angles, at different levels of detail. Business users with the means and the ability to slice and dice through warehouse data can actively meet their own information needs.

Data knowledge. It is critical that business users be familiar with the contents of the data warehouse before they make use of it. In many cases, this requirement entails extensive communication on two levels. First, the scope of the warehouse must be clearly communicated to properly manage user expectations about the type of information they can retrieve, particularly in the earlier rollouts of the warehouse. Second, business users who will have direct access to the data warehouse must be trained on the use of the selected front-end tools and on the meaning of the warehouse contents.

The differences are chiefly influenced by ● the current state of technology within the enterprise; ● the culture of the organization in terms of decision-making styles and attitudes towards technology; and ● the company's position in its chosen market vs. its competitors. The effect of data warehousing on the tactical and strategic management of an enterprise is often likened to cleaning the muddy windshield of a car. It is difficult to quantify the value of driving a car with a cleaner windshield.

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