A Dashboard Data Methodology whitepaper registration

Dashboards are only as good as the data that supports them. No matter which graphical or textual visualizations are used, drilldown capabilities exposed, or personalization features available, the success and long-term end-user adoption of a dashboard is dependant on the accuracy, quality, and flexibility of the underlying data. It is critical that dashboard projects consider and arrange data properly for maximum utility.

This paper describes a simple, systematic approach for understanding and configuring data sources for use in both small and mid-sized dashboard projects. It does not require months of data consultants or the implementation of complex multidimensional OLAP tools – virtually any contemporary database will be able to support the ROLAP-like methodology used here. Our approach also addresses the need for changing data requirements without refactoring the dashboard or underlying data structures. It works best using non-aggregated data.

Mike MacDonald, CEO, Founder and industry-recognized expert on building dashboards, has authored a white paper entitled, “A Dashboard Data Methodology”, that highlights the five key steps to properly organizing data for a dashboard project.

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