Successful business intelligence (BI) projects are those that start by defining the business problem they are trying to solve or goal they want to achieve (e.g. we want to increase sales by 10% this fiscal year).
Out of this you will then look at the business questions you need to answer to support your objective (e.g. how are sales performing across different territories?). From this will flow the numbers you need to see to answer these questions (e.g. booked revenue, number of sales, forecast revenue, etc). Continue reading
Throughout this series looking at the key requirements of a modern information delivery platform we’ve seen why it is important that non-programmers are able to create new interactive dashboards and information applications to keep step with the pace of business change. We’ve also seen that to guarantee high adoption rates, business users should be able to pick up and use these dashboards and applications without training.
User adoption is key to a successful business intelligence project. If your goal is to empower people with the information they need to do their jobs, then one measure of success is how widely this information is used.
But, how do you measure user adoption?
When the data your business users need resides in many different systems – in corporate databases, in the cloud, in Excel spreadsheets, in external sources, etc. – getting a consolidated view of your organization can be hard.
That’s where data blending and merging comes in. It allows you to combine data from different sources to see the big picture and it is the topic for this the ninth article in our series looking at the key requirements of a modern information delivery platform.