EndorsedendorsedOngoing

Data Curation Engine for Healthcare Marketplace

Services Covered:

Custom Software Development
Project hero — replace with case study imagery
Industry
Industry

Healthcare

Duration
Duration

145 months

Budget
Budget

Confidential

Client Size
Start Date

1 July 2014

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
72/100
Good

Project Capability Score (PCS) estimates how capable Algoscale Technologies is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Confidential

map United States of America

Project Summary

Algoscale built a data curation engine and supporting software to normalize and analyze structured and unstructured big data for a healthcare marketplace SaaS platform. The solution processes data from over 200 sources and supports order analytics and other business analyses. The vendor provided ongoing product assistance and was praised for responsiveness and innovative suggestions.

Key Challenges

  • Integrate and normalize structured and unstructured big data from 200+ sources.
  • Make data analyzable through ETL and curation processes.
  • Build a prediction engine to generate cost-saving recommendations.

Project Deliverables

  • Curation engine
  • ETL processes for data ingestion and normalization
  • Predictive analytics/prediction engine
  • Data pipelines integrating 200+ sources

Project Solution

Algoscale provided end-to-end software development to build a curation engine, handling ETL and normalization of structured and unstructured data from over 200 sources. The team used Python, JSON, MongoDB, and Elasticsearch and worked in Agile Scrum across multiple development sprints. The work focused on making incoming regulatory and product data analyzable and supporting predictive analytics and order-management analysis.

Project Outcome

  • The curation engine became the core database powering multiple analyses, including order management.
  • The vendor accelerated development and helped speed up the process.
  • The engagement produced ongoing product assistance and collaborative responsiveness.

Platforms

  • SaaSSaaS

Tech Stack

  • PythonPython
  • MongoDBMongoDB
  • ElasticsearchElasticsearch
  • JSONJSON

Client Endorsement

Overall Review Rating

4.63star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The curation solution successfully manages over 200 data sources for vital functions like order analytics. Through Algoscale Technologies’ innovative suggestions and consistent responsiveness, the engagement continues to exceed expectations.

Anonymous

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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