- DEMOS & SAMPLES
Self-Service Analysis | Real Business Intelligence
Self-Service Analysis and Intelligent Data Discovery
You hear a lot about data mining in conjunction with business intelligence these days. Of course, the ability to perform data mining can pay big dividends, but at what cost? So, we built the function into every chart in iCHARTER. The basic assumption with data discovery is that one approaches the data with an open mind, not knowing what one might find, but also open to new ways of slicing data.
Recently, we were able to go through data discovery with a client for their first time. To set this up properly, we need to consider the entity at hand and how we might learn from the data as it exists by exploding the basic chart out in different directions. The example we will use is well known to most of us; a sales pipeline. The native state of a sales pipeline is rolled up, encompassing all the deals for every sales rep in the company. While this is an important part of analysis, the macro view only provides the summation of everything that is happening. We like to default the sales pipeline to only include open business, and to see the opportunities by stage.
When we choose to mine this data, we can select any filter to ‘Chart By Each’ and present a very different collection of images. In this case, we look at the pipeline by each rep. What is very telling about this is the relative health of a rep’s pipeline is instantly acknowledged. We can easily see who has eggs in one basket, and who is set up for the likeliest successful outcomes.
To turn this data in another direction, perhaps for the COO’s benefit or that of product marketing, we can replace the Sales Rep with Family, and we see a far different picture. This feature, which we refer to as the omnibus or panoptic view settles into processes as an initial data mining approach to settle upon what might be useful.
We have seen it used a number of ways. For instance, in some circumstances the very units being measured are of interest side-by-side. Here is an example of the same chart by each unit. Note how the weighted and potential values differ, as well as the straight count of opportunities. We see the relative health of the pipeline through yet another lens.
The appeal of Self-Service Business Intelligence is that it lightens the load on your IT staff, while providing clarity and dynamic access to data, to help make better decisions in less time. How can you accomplish both? With Visual Integration from iCHARTER.
There you have it: scalable, affordable and fast.
Give us 10 minutes to show you how easy Self-Service Analysis in the cloud can be.