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How to create a successful business analytics project

Mikkel Meister

Insight Magazine

25 April 2013


PA’s Christian Riekehr, business intelligence expert, is quoted in Version2’s Insight Magazine. Christian offers guidance on how to create successful business analytics projects. He cites PA’s Danish survey on business intelligence, where respondents mentioned predictive analysis as a key factor; however, many companies often do not have a clear strategy.

Christian says: “IT departments are often under pressure, forcing them to buy a solution that doesn’t deliver as expected.”

According to Christian, business intelligence and business analytics projects should be driven by the business, not the IT department. The IT department should act as a facilitator in the process, but direction from senior management is a prerequisite for a successful and well-implemented business analytics project.

Another important prerequisite is the business intelligence operating model, which sheds light on data quality and data sources used in the analyses. The model can also be used to analyse the level of the data quality and whether the right data sources are being used.

“If a company wants the analytical work to be a success, it needs to be integrated in the business, and this requires an operating model,” says Christian, adding that working with business analytics also requires a stable IT environment and an agile business environment.


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