StratMed is an Indian startup that is digitizing purchases made by healthcare providers by bridging a gap between suppliers and healthcare providers in the form of a SaaS platform.
Stratmed wanted to have a robust business intelligence (BI) layer to take better data-driven decisions internally and as well as for their client. For example, number of SKUs sold by a pharma company like Novartis to a hospital(s) in a city or multiple cities. The backend datastore is Mongo Atlas.
Their biggest issue was manual data wrangling in the form excel sheets. Today’s customers need fast information to improve efficiencies. Since StratMed didn’t have a BI layer, they had to manually perform ad-hoc queries, export the results to an excel sheet from multiple collections, validate and correlate them and finally share it with their end clients. It took 3-4 days’ worth of time for them. It was affecting their client’s decision-making velocity.
The StratMed team didn’t want to invest in 3 rd party BI platforms like PowerBI, Jaspersoft, etc. There were a couple of reasons. (1) These tools are expensive and open-source editions doesn’t have required functionalities. (2) Keeping future in mind, they may have variety of datastores, a greater number of users, etc. They didn’t want to constrain themselves with such blockers.
Atomstate has built a BI platform from scratch leveraging open-source tech stack consisting of ExpressJS, D3.js, ReactJS, MongoDB, and GraphQL. It has been delivered to StratMed in their cloud environment.
Our solution has specifically delivered the following
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