Business Intelligence: The Savvy Manager's Guide by David Loshin

By David Loshin

Attention-grabbing, well timed, and especially, necessary, Savvy courses provide IT managers the knowledge they should successfully deal with their technologists, in addition to rigorously tell enterprise selection makers, in the middle of technological revolution.

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Business Intelligence: The Savvy Manager's Guide

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This concept must be applied across the hierarchy in a way that engages all participants by promising everyone some stake in both the short-term and the long-term success of the project. This implies that there is some incentive for everybody associated with the project to achieve the specified goals. In a number of organizations I have observed, two environments that conflict with the notion of a stake in success seem to prevail. " mentality, which rewards individual achievements accomplished within short-term periods.

Integral to any BI program is a clearly defined data quality initiative; we will explore data quality and information compliance in Chapter 9. Enterprise Integration A successful program supplies an intelligence capability that both draws on enterprise data resources and is available as a resource across the enterprise. This implies that there must be well-defined processes for integrating information from multiple sources, whether it means merging data sets aggregated and deposited at a staging area or providing the means for integrating collections of data instances as they move through articulation points in the enterprise.

Between the sales channel information, the productivity data, and the supply chain data, it is possible to make more precise predictions about inventory requirements. It is also possible to determine the best way to quantify and mitigate risk, especially through the development of financial products (such as barrier options) to limit financial losses. Distribution analysis--Imagine that your company has a large number of retail outlets, a smaller number of regional warehouses, and a very small number of factories.

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