MB3M is a French software company founded in 2007 that builds applications for travel agencies. Its flagship product, MB3M Travel, covers a vast array of CRM, financial, and accounting needs of travel agencies. Travel managers use it to analyze travel expenses and respond to their customer needs.
In MB3M Travel’s original design, travel managers would receive PDF and Excel reports by email or through a portal. With the digital transformation that is being brought about in every industry and the pace at which travel agencies are requesting analytics, the manually created PDF and Excel reports are not keeping up with the speed of business. MB3M was spending valuable company resources to build these analytical reports, yet there was a consistent backlog of requests for more reports. In essence, travel managers were asking for something more dynamic that could help them get their questions answered on the fly and MB3M was not equipped to satisfy that demand at scale.
Goal & Solution
MB3M was looking to upgrade their reporting capabilities, fully mindful of the goal that the reports should be embedded in the application and customizable, self-service capable, secured, and fully integrated into their platform. Last but not least, developers should be empowered to create interactive reports with rich visuals easy to consume for the end-user.
Now, when travel managers use the MB3M travel product, they are able to turn insights into action. The ability to deliver a scalable and cost-effective solution that has the power to provide contextual insights and enhance the customer experience has made Power BI Embedded the right solution for MB3M.
With Power BI Embedded, MB3M is able to maintain consistency in the look and feel of the application after adding analytics inside it. Travel managers will require little training to build a self-service report and get insights that matter to them the most. For instance, in the example below, a travel manager can review a preview of the table board specific to his business using various types of data visualizations. The user can perform a slice-and-dice analysis on the data, including the ability to drill filter subsets of the data in or out of analysis.
See the technical case study on GitHub for a detailed study on the architecture used, the row level security implementation, publish of report, and integration of report into the app.