The Profit Impact of Business Intelligence

other BI production processes, such as data transformation, data movement and loading into the data warehouse, data quality assurance, data movement, and loading into one or more BI applications, and resolution of any production problems must also

Decision process engineering culture. Some companies are more structured in their decision style, which creates opportunities to insert BI into decision processes that already exist versus having to create structured decision processes from scratch in order to leverage a given BI investment.

These methods also change the back-end delivery process by using business process reengineering techniques to ensure that the deployed BI applications are embedded in relevant business and/or management processes that deliver business value.

management. Companies that manage BI as a portfolio have the opportunity to leverage BI infrastructure investments and technical experience across specific BI investments, thereby reducing costs and technical risk.

Because it is business-centric, we are less concerned with the technical issues of DW and BI deployment—even though technical architecture, data architecture, technology choices, and appropriate methods will always be critical to project success.

As with many IT products, there is often a trade-off between products that do many things reasonably well and products that do one thing extremely well.

more and more retailers and consumer product manufacturers are using category management techniques to optimize revenue and margins.

These standards can range from conventions used by data modelers to testing standards and file-naming conventions. You should also establish standards for BI project development methodology, including a standard set of deliverables to be produced for all BI projects.

BI is about turning information into action and action into improved performance.