The Customer relies on Itransition’s software engineering and QA expertise for boosting the customization and data management capabilities of its online BI tool.
Our Customer, a decision analytics company delivering solutions to thousands of pharmaceutical decision makers in more than 70 countries across the globe, was looking for an experienced software development company who would help to implement a functional uplift of its online flagship analytics suite running on an outdated technology platform.
The enhanced solution was expected to provide a flexible and customizable access to the analytical data like historical measures, physician attitudes, sales results, forecasts, and demographic statistics, pulled together from a variety of disparate information sources.
A comprehensive business analytics solution designed to equip pharmaceutical companies across the globe to gain market insights and make confident business decisions, it posed a major challenge for the team. Within tight timelines, Itransition’s software engineers had to acquire specific knowledge of the pharmaceutical domain and get a thorough understanding of the end-user data sourcing context.
.NET is a proven platform for convenient building and rapid deployment of sophisticated web solutions
The Customer suggested using .NET and Itransition fully supported this choice as .NET leverages an array of advanced built-in capabilities like .NET Framework, a comprehensive and consistent object-oriented programming environment; enhanced security, compliance with new and established web standards, etc.
The revamped solution with automated pharmaceutical market data handling and updating processes, spanning market definitions, business rules, as well as harmonization across molecules/regimens, provides for a host of unique features:
The project was completed on time and on budget to the Customer’s satisfaction. The augmented decision analytics suite with filter-based customization features allows delivering analytics to a diverse set of pharmaceutical users through appropriate types of analytic interfaces and distribution mechanisms. This allows each user group to access particular data sources and reports. Thanks to the added capabilities, analysts now are freed up to focus on more complex challenges.