Data Centralization Solution
By INTechHouse
Client
Healthcare Company
Services
Project Description
About client: It is a company of professionals and healthcare enthusiasts ready to serve millions of users. They are engaged not only in the development of effective products that improve life but also in full-fledged health research. The company was formed quite a long time ago and gradually grew to a corporation with several thousand people on board. Business challenge: Centralization of data on various events. Team composition: Solution architect, IoT specialist, 2 Software developers. Our solution: Design and construction of IoT devices collecting and saving information about events in a central database. In this case, internal employees can have easy and streamlined access to different information they need with high-level external protection. Technology used in project: Python, AWS Serverless architecture, IoT, CDK, AWS. Value we added: Enabling BI data event analysis ability, which was impossible before. Future perspective: Joint development of algorithms and management logic in an automated manner based on the collected data.
About client: It is a company of professionals and healthcare enthusiasts ready to serve millions of users. They are engaged not only in the development of effective products that improve life but also in full-fledged health research. The company was formed quite a long time ago and gradually grew to a corporation with several thousand people on board. Business challenge: Centralization of data on various events. Team composition: Solution architect, IoT specialist, 2 Software developers. Our solution: Design and construction of IoT devices collecting and saving information about events in a central database. In this case, internal employees can have easy and streamlined access to different information they need with high-level external protection. Technology used in project: Python, AWS Serverless architecture, IoT, CDK, AWS. Value we added: Enabling BI data event analysis ability, which was impossible before. Future perspective: Joint development of algorithms and management logic in an automated manner based on the collected data.
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