Data Quality Testing for Healthcare Analytics Solutions
Achieved 99% data quality for healthcare analytics solutions through rigorous testing and validation.
Technology Stack
Digital TransformationAPI IntegrationAgile DevelopmentCloud Platform
Challenges
- Inconsistent data caused confusion and inaccuracies in product details and pricing.
- Ensuring compliance with data protection regulations was crucial to avoid legal and financial risks.
- Inconsistent data hindered effective decision-making.
Our Solution
- The testing conducted a comprehensive assessment of the client's data, identifying inconsistencies, inaccuracies, and gaps
- A tailored data quality framework was developed, including data profiling, cleansing, validation, and enrichment processes to address specific data and business needs.
- Advanced data quality testing tools were integrated to automate the detection and resolution of data issues, ensuring seamless testing within the existing systems.
- The client's staff received training in data quality best practices, empowering them to contribute to ongoing data quality improvements within the company.
Results & Benefits
Generated data of exceptional quality, ensuring reliability for analysis and reporting.
Guaranteed precision and preparedness of data Dependable simulations and summarizations to support well-informed decision-making.
A comprehensive report summarizing over 100 manual test cases focused on data validation.