In theory Business Intelligence is simple – it’s the technologies and processes businesses use to analyze data – but the reality of its application in the world is a bit more involved than that. Think about all the data at your organization that you might care about – information about donors, transactions, ticket buyers, marketing campaigns, website visits, who knows. If you were to take all of this disparate data and collect it in one central place you would likely be on your way to creating a Data Warehouse – the common first step toward building a Business Intelligence suite. Now hopefully all of that disparate data would be organized in such a way that it is easy to report on. Collected and organized data provides the foundation of Business Intelligence.
From this nicely organized Warehouse of your data, you would take the data and analyze it using calculations, averages, and metrics that would give a non-technical person a prayer of being able to gain some insight from that glut of data. This analysis could be a simple report, perhaps a pivot table where you can drag and drop fields onto a grid. Taking your nicely cleaned and organized information and learning things from it can be the hardest and most interesting part of BI. How do tickets sell on Tuesday versus Thursday? Which zip codes provide us the best average gift? Building good Business Intelligence means taking a lot of time and using the needs and trends of your business (giving trends, marketing trends, donor trends) to inform which metrics you create. Read the rest of this entry »
Posted by Andrew Recinos 





