You can leverage the best of two powerful software products by combining WebFOCUS Business Intelligence language with the R statistical programming language.
WebFOCUS from Information Builders provides you with robust BI capabilities such as web access, highly-dynamic scripting, and far-reaching enterprise data access. With the R open-source offering, you have sophisticated statistical analysis, data visualization, and access to web data content.
To help explain this, let's look at a simple application where the two products work together.
I have a text analytics software product called the BI Analyzer, which we use in large legacy modernization initiatives as a preliminary assessment tool. The software mines the applications' text for important keywords and loads the scan results into an inventory database--imagine a small Google engine specializing in indexing your custom computer applications--from which WebFOCUS and R can perform analytics.
- Via a web browser, interacts with the user
- Based on the user's selected options, extracts data
- Dynamically builds a WebFOCUS report script based on user's selections
- Runs the script and creates a report
- Dynamically builds an R graph script based on user's selections
- Calls R to run the script and create a graph (using the extracted WebFOCUS data)
- Displays the WebFOCUS and R results on the screen
Visually, the interaction between WebFOCUS and R looks something like this:
Before you read that next section, I'm curious as to what you think. Do you see value in using WebFOCUS and R together?
Please leave your comments here.