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Driving Data and Development Efficiency in Healthcare: A Case Study

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 Driving Data and Development Efficiency in Healthcare: A Case Study - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Buildings
  • Cement
Applicable Functions
  • Product Research & Development
Use Cases
  • Building Automation & Control
  • System Integration
The Challenge
PDS wanted to establish a relationship between their applications with a common data platform. This relationship would break data silos and provide the ability to use that data across various applications. PDS required a technology stack to accommodate the integration of applications and platforms and help them accomplish their business strategy. The challenges faced by PDS included a lack of customer feedback, inability to implement cutting-edge software, and the need for efficient data access.
The Customer

Provenance Data Systems (PDS)

About The Customer
Provenance Data Systems (PDS) offers Pinpoint Feedback, a software solution that enables companies to obtain real-time feedback from customers. PDS needed a solution to establish a relationship between their applications and break down data silos, allowing them to use data across various applications. They required a technology stack that aligned with their business strategy and provided efficient data access.
The Solution
SoftServe provided an API-driven solution that allowed seamless data transfer between applications, enabling PDS to collect customer feedback and provide an exceptional user experience. SoftServe built the PDS platform and its first application, integrating them with artificial intelligence, cognitive services, machine learning, and multi-channel communication services. They also defined PDS's tech stack and developed a customer feedback Architecture Roadmap.
Quantitative Benefit
  • The quantitative benefits of SoftServe's solution include increased efficiency in data access and improved customer feedback collection. By breaking down data silos and implementing a scalable technology architecture, PDS can now utilize data across applications more effectively. The API-driven solution also saves development time and resources for future projects.

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