What is R Scripting and Why Do I Need it Integrated in My BI Tool?
Don’t you hate it when someone blurts out a mysterious term at a business conference and you are left to decide whether to reveal your ignorance by asking what they are talking about, or simply nodding your head and smiling as if you understand and agree? I hate it when that happens.
If you are a business person who is tackling the business intelligence solution environment, you are probably hearing a lot of those mysterious words and wondering how to make sense of all of it and decide on a solution that will give you the BI tools you need and give your users access to easy-to-use features and sophisticated analytics to improve the quality and timeliness of decisions.
The good news is that you don’t have to understand all the technical jargon in order to make a decision and choose a business intelligence solution. There are many features you’ll want and your IT consulting partner or IT team can help you understand how those features can be used and why they are important. One such ‘mysterious’ technology reference is R scripting and R integration. For business analysts, IT team members and data scientists, this concept may be old hat. For you, as a business professional without analytical experience, here’s what you need to know:
Choose a Business Intelligence solution that integrates seamlessly with R, (that’s a popular open source programming language and software environment for statistical computing). Your users can integrate any R script with input and output configuration both to and from R script and they will have access to a full suite of self-serve visualization and analytical tools to present and share results from R script in a report, on a dashboard, with interactive graphs, and in ad hoc reporting, cross-tab reports and key performance indicators (KPIs). The good news is that your users do NOT need extensive training or knowledge to leverage the R script integration. In a matter of minutes, a user can leverage forecasting, classification, clustering or any other statistical and predictive algorithms from R Script using self-serve visualization and reporting tools.
When your users have access to a BI tool that allows them to leverage R integration, they can build reports, make recommendations, present data and gain insight, all without the skills of a data scientist or an IT professional. That means you are much more likely to see positive user adoption results and to succeed in data democratization and data literacy initiatives. Integrating this type of functionality within your Business Intelligence Solution ensures that your users only have to go to one information source and dashboard to get what they need.
If your business wants a business intelligence solution that provides out-of-the-box functionality and application integration capability – one that can provide additional tools without requiring additional skills and investment – you can start here: ElegantJ BI Business Intelligence with R Integration.
Original Post : R Integration in BI Tools is a Reality!
