Case Studies.

Our Case Study database tracks 1,841 solution providers in the global IoT Ecosystem.
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3 case studies
Enabling Patient Care Through Connection Solutions
HCL Technologies
The client faced challenges in their attempt to improve patient care through objective data gathered from smart products such as Apple Watch, Fitbit, Carbon, and Samsung Gear which relates to patient compliance with prescribed medication regimen and their lifestyle patterns. The client was searching for an appropriate analytics algorithm which would help them gain actionable insights from the unstructured data. The backend came with a hive table which helped import data to the Hadoop environment. The company faced roadblocks in extracting behavioural context over time to tailor treatment according to the needs of patients with Serious Mental Illnesses (SMI). They aimed at developing a passive sensing mobile application which would enable full control and surveillance of the patients.
Replenishment Management Solution for a Leading Office Automation Vendor
HCL Technologies
• Need for integration of distributors and resellers in the service delivery chain • Rising support cost and inadequate service levels • Need for centralized reporting of the consumables status for proactive actions
Enabling Business Efficiency for Medical Technology Providers
HCL Technologies
As the company expanded into new geographies and areas of therapy, existing patient management platform performance was unable to support future business needs. This resulted in end user satisfaction being compromised.Some of the business challenges were:Value based care delivery: Robust platform to support wide array of devices, data, and applications that manage patient data with utmost security. This facilitates the delivery of customised care to end-users, increasing the patients’ adherence to medication.Business efficiency: Integration with legacy enterprise applications to ensure seamless exchange of customer, product, and sales data between BU’s as well as enabling KPI tracking at various enterprise levelsShorten time to market: Ability to run complex analytical models and data science functionality on the data collected from multiple sources to streamline development cycles.

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