Data warehousing solutions : designs to maximize ROI and by Fon Silvers.

By Fon Silvers.

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Even if the effort is incomplete, yet iterative, any attention to data validation is better than no attention to data validation; furthermore, validating the data delivered to the members of management who choose to fund the data warehouse is always a good choice. PurPose If you choose to aim at nothing, you just may hit the target. A data warehouse, like every other enterprise asset, must have a reason for existing. If a data warehouse is not busy adding value as a data warehouse, it may soon begin adding value as something else.

Increased sales, increased productivity, increased product quality), the logic of Market Basket Analysis identifies the actions that lead to that response and the probability that response will occur. The enterprise can use that information to consider its options. 1 Market basket scope analysis logic. responses and outcomes? For all the desired responses and outcomes, what are the available actions? The logic of Market Basket Analysis is a pattern. , probability to occur simultaneously). The purpose of the Market Basket Analysis pattern is to provide actionable information to the enterprise.

You can shine a flashlight in the dark. Eventually, you use the information obtained by shining your flashlight into the darkness to operate your business. Your flashlight is Market Basket Analysis. The dark room is your business environment. And your business is not an allegory—it is very real. ANAlysIs versus rePortING Before exploring Market Basket Analysis, we need to establish a distinction between Business Intelligence Reporting and Business Intelligence Analysis. This distinction will guide the understanding of the activities and goals of Market Basket Analysis.

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