Improving Health & Fitness Apps with the Implementation of Predictive Analytics Share: InData Labs Score Awaiting client review n/a Date Published 11 March 2020 Reading Time 1-Minute Read We enhanced the client’s mobile fitness apps with predictive analytics capabilities and offered to implement state-of-the-art approaches and tools. The Client A provider of personalized applications in the healthcare and well-being area wanted to improve the existing system to provide users with additional guidance and instructions on health & lifestyle. He needed the help of a reliable predictive analytics services provider to find ways of how predictive analytics can be used to improve his apps. Challenge Our team was challenged to tailor a Business Intelligence solution to work with user data gathered via an app. Solution We managed to enhance the client’s existing mobile fitness apps with predictive analytics capabilities and also offered to implement state-of-the-art approaches and technologies to provide better services. The client benefited from cooperating with InData Labs in the following aspects: More personalized customer experience compared to the initial capacity of the app Better data processing and storage Predictive analytics capabilities Technologies and Tools PostgreSQL, Spark, Python, Apache Superset
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