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Posted by Boris Evelson on August 22, 2007
by Boris Evelson.
I get many questions on dashboards and scorecards and the role these tools play in BI (Business Intelligence). If we use Forrester’s definition of BI — a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information — then we see that dashboards are just the tip of the BI iceberg. One cannot build “just a dashboard”, without considering, architecting and implementing many other necessary BI layers and components such as data integration (ETL, data quality, etc), analytics (OLAP), metrics management, and many supporting components such as collaboration, knowledge management, metadata and master data management, and others. So that’s the first key takeaway: do not be fooled by 2nd tier dashboard vendor claims that one can implement an enterprise wide dashboard easily and inexpensively.
Let’s start with definitions, since I see the terms dashboards and scorecards used interchangeably:
Today’s dashboards are no longer static graphs and charts. Best of breed dashboards implement 6 necessary components of so called ADV – Advanced Data Visualization:
But even ADV is not enough for turning information into decisions and actions – which is really what dashboards (and BI) is all about:
What are the key parameters to consider when implementing a dashboard solution? Ensure that your dashboard architecture supports the following functional requirements:
The following technical considerations are also key:
And last, but not least, remember that today’s and future applications, including dashboards, must be “designed for people and built for change”!
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