SoftServe > Case Studies > Driving Data and Development Efficiency in Healthcare: A Case Study on Provenance Data Systems

Driving Data and Development Efficiency in Healthcare: A Case Study on Provenance Data Systems

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 Driving Data and Development Efficiency in Healthcare: A Case Study on Provenance Data Systems - 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
Services
  • System Integration
The Customer

Provenance Data Systems (PDS)

About The Customer
Provenance Data Systems (PDS) is a company that offers a suite of tools designed for businesses to obtain real-time feedback from customers. One of their solutions, Pinpoint Feedback, is not an app but a software solution that leverages communication methods people use, allowing companies to engage in the burgeoning field of conversational commerce. PDS aimed to establish a relationship between their applications with a common data platform to break data silos and use the data across various applications. They required a technology stack to accommodate the integration of applications and platforms and help them accomplish their business strategy.
The Challenge
Provenance Data Systems (PDS) offers a suite of tools designed for companies to obtain real-time feedback from customers. One of these tools is Pinpoint Feedback, a software solution that enables companies to engage in conversational commerce. PDS aimed to establish a relationship between their applications with a common data platform to break data silos and use the data across various applications. However, they faced several challenges. Firstly, they were struggling with a lack of customer feedback. Secondly, they were unable to implement cutting-edge software, either open-source or SaaS-based. Lastly, they needed data access for the software to run efficiently.
The Solution
To overcome these challenges, PDS required an application programming interface (API)-driven solution that did not necessitate intensive engineering to scale and add new applications. They needed a broader pool of resources on an as-needed basis to support a technology stack that aligned with their ongoing business strategy. Specifically, they required a seamless data transfer between applications to collect customer feedback and provide an exceptional user experience for their customers. SoftServe was brought on board to build two products: the PDS platform and its first application. Both the platform and the application had to exchange data via API and integrate into artificial intelligence, cognitive services, machine learning, and multi-channel communication services. SoftServe also built a customer feedback Architecture Roadmap.
Operational Impact
  • The solution provided by SoftServe helped PDS overcome their challenges and meet their project objectives. The API-driven solution not only broke down data silos but also facilitated seamless data transfer between applications. This allowed PDS to collect customer feedback more efficiently and provide an exceptional user experience. The technology stack supported the integration of applications and platforms, aligning with PDS's business strategy. The customer feedback Architecture Roadmap built by SoftServe further enhanced PDS's ability to obtain real-time feedback from customers.
Quantitative Benefit
  • SoftServe decreased the need for intensive engineering by building a seamless API-driven solution
  • SoftServe saved future development time by building a scalable, API-driven technology architecture and customer feedback application

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