An integrated development environment can certainly help you in developing, testing, and deploying analytic applications; however, choosing the ideal one can be really tricky. Believe it or not but you have to be sure of what you are opting for unless you are ready to be taken by surprise. To begin with, you must find out whether the chosen IDE can help you in coming up with richer insights from the data at your disposal or not. Secondly, you should ensure that the chosen option simplifies and streamlines the entire process. Nevertheless, some of the other things that you must look for are described below:

Approach – Contrary to popular belief, the ideal IDE should follow an end-to-end approach, thereby simplifying and accelerating the creation of analytic applications during the development life-cycle. In other words, it should be able to help you with all the following activities:

• Development

• Testing

• Deployment

Speed of development – Any IDE would let you develop analytic applications; however, the ideal one would facilitate faster development. Therefore, you should the one that perfectly complements some of the analytic functions, and saves your time. It is also worth mentioning that the ideal integrated development environment (IDE) should not make you sacrifice the richness of analytic s under the pretext of speeding up the development process.

Complexity –As an analyst, you would most likely need something that can reduce complexity; the ideal IDE should not only be able to do that but also reduce the time taken for creating advanced analytic applications. It goes without saying that any such option can do wonders for you, especially if you are eying predictive analytic s.

Testing environment – Experts suggest that the ideal IDE should be accompanied by a desktop testing environment; allegedly, this environment would make it a lot easier for you to test the application logic on any desktop system.

Wizards – As an analyst, you must be aware of the fact that it is important to integrate the logic with everything (including interfaces and packaging) that’s needed to push the application into the analytic platform. Therefore, you should try to look for an IDE that has an intuitive set of wizards which can help in automating this integration.

Embedding – It goes without saying that embedding of analytic applications with data is something that can turn into a nightmare; therefore, you should look for an option that can simplify things. In fact, any such option would come in handy in case of time-series, predictive analytics, and graph analysis.