InetSoft Webinar: Self-service Data Mashup
This is the continuation of the transcript of a Webinar hosted by InetSoft on the topic of "The Evolution from Information Publishing to Insight Discovery and Analytics." The speaker is Mark Flaherty, CMO at InetSoft.
Although they may still have some cases of information being stored on the side, which is pretty ubiquitous today. I think we see this self-service data mashup with a few of the BI platforms and the BI tools, such as InetSoft’s. They’ve all added features for the end user to bring some piece of data from the side.
And there’s something I always struggled with as a manager of BI group, and that was, as much as we tried to get all of the information into the BI environment, but we could never get 100%. So, we had to focus on the core information because people were doing it anyway. They would publish a report as an Excel spreadsheets and then they would get other data and paste that into the Excel spreadsheet and mash it up.
So, in fact that was their departure point for the analysis, the presentation of data. But I think it’s important to know that you have to have some data infrastructure in place because there has to be some level of quality and some level of trust in what’s behind the data that you are interacting with.
Next question: When you talk about IT and the new enterprise where does InetSoft fit into that? Is it more a tool designed for developers or for users? Are there different tools in the tool group?
Well, essentially Style Intelligence has three modes of use. There’s dashboard development environment which can be used by developers, but business users actually find that quite usable too.
And there’s a server environment which is where IT can manage the application, the sharing and permission aspects, and where applications can be saved on the server, and be continuously used and refreshed with larger volumes of data. And then there’s the device experience which spans desktops, laptops and mobile devices where people are not necessarily creating new analyses, but they are working with them. And dashboards and visual analyses in particular are interactive and easy to work with. So, they’re exploratory tools. They’re not static. So, it’s really just the developer experience, the IT experience, and the consumer experience.
The last question is where are we in the evolution of information management with delivery? Even with advanced products like Style Intelligence, where are we?
Even though it seems like we’re at a point where technology use is being commoditized, which is to some extent true. The tools themselves are being commoditized. I think we’re just at the very beginning of what we can do. Over the past decade we figured out how to collect and store lots of information. But we haven’t really worked out a how to use that information and what is the model for really managing, curating, and doing a lot of other things. So, in my mind the information evolution has just barely begun. I think one thing that I notice people tend to talk about is where is our business in relation to information management, in relation to analytics and BI? Very often that question can’t be answered about the level of an enterprise, the level of an individual business, or even the level of a department. It really comes down to individuals.
And you’ll find that there are some individuals who are highly advanced in their use of information and analytics than other people. Many things can average out, but I think there are certain individuals who embrace BI, and these are the ones who are driving the acquisition of these new tools with or without IT’s consent. But, in general, we’re at the start of this new phase, the start of this revolution.