Then collaborating about that, sharing the recommendation, is what you want to do next.
And you have a recommendation on what to do with pricing. You’re analysing revenue information and sales information and maybe competitive pricing information, which is all fairly structured. The example I like to use is that there’s some sort of planning decision. Collaborating has an application here, not just capturing the information but associating it then with particular topic. But a Word document or a Power\Point document that supports the assumptions behind the plan or budget, being able to pull that information up or find that discussion or document and make that part of your collection of information. So let’s say there’s a PowerPoint presentation that supports the report, or there’s a PowerPoint presentation or an Excel worksheet that supports a certain decision that was taken.Įxcel is probably not a good example because that’s highly structured information that’s accessible elsewhere. And once you are alerted to the change, you could drill down to the supporting information. So if a report changes, or a Web page changes, now that could be information that’s important to know. But the other is capturing information changes. I wouldn’t say so much this is application specific, but a functionality people are looking for. You could also monitor product quality by watching for customer complaints. Read how InetSoft was rated #1 for user adoption in G2 Crowd's user survey-based index.Ĭustomer service I can probably think of probably can use dashboards based on unstructured data. One thing obviously is to have a dashboard that shows win loss statistics, but if you also had in that same window the information about your competitors either when they’re mentioned with you or mentioned independently, it can support a competitive or win loss dashboard. It’s good for competitive intelligence applications if you’re trying to monitor your competition. It’s only one indicator, but it’s an indicator you could easily do. It depends on the nature of the organization, so if you look at for instance at a marketing organization, one of the things a marketing organization does is it’s constantly monitoring the number of mentions you get in the press, the number of articles in which they appear, things like that. You want to see the amount of occurrences of people talking about the whole debacle between Facebook and Google over the past few weeks right. Let’s arbitrarily say you were looking at the Facebook and Google fracas. These don’t have to be sophisticated, like the example you gave of counts of email occurrences, and the counts often become much more meaningful when you search for word pairs, not just counts of a single word. I would say one of the primary applications is search, making it easier to find information, but the other is doing text analytics.