An InetSoft BI Webinar: Deploying Dashboard Software in Enterprises

This is the continuation of the transcript of a product demonstration of InetSoft's BI software for dashboards, reporting and mashups. The presenter is Byron Igoe, Product Manager.

What I am going to go through now is just a very quick example of actually building one of those dashboards from scratch. I am going to just use a data mashup that I have already put together, and then I will circle back and show you an example of building a data mash-up. So right now, on the left hand side, I have got some components in my toolbox. I have got the data. These are the blocks from my data mashups.

And on the right hand side, I have got my dashboard design canvas. So it’s really as simple as this. Just drag a few components out. Let's drag a selection list over here. I’ll add a chart over here. And so now I have to connect it to data. So again it’s just as a matter of drag-and-drop. Let’s drag the company field is over here onto the selection list so we can filtered both by states and by companies.

And in the chart, it will show state on the x-axis and total in the y-axis. So very quickly just with drag-and-drop, I have created a usable dashboard. Simply clicking on a value like California automatically updates all of the other components, because again, it’s all based on the same underlying data, and they are wired together automatically.

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We have a lot of additional capabilities behind certain dialogs. By right-clicking on any of these items, I can further customize the look and feel of the gauge, or I can tweak the look of the chart. I can add other components from the toolbox like the shapes to make it more visually appealing.

Question: How do you link all the data underneath? Is it because it's all from the same table or the same database, or are you designing a data model?

BI: It’s because it’s all from the same resulting dataset, but that resulting dataset is from our data mashup engine. So it could be coming from many different data sources, many different databases and very complex queries and then because in the mashup technology, where you have joined or done sub-querying or unions or various ways of connecting that data, we apply all the filtering in a more global way.