Impact at a Glance
By partnering with Cognida.ai, this healthcare leader achieved:
- 40% Faster Decision-Making – Streamlined data handling enabled faster, more informed choices.
- 30% Reduction in Data Inconsistencies – Centralized, validated data boosted treatment precision
- 20% Operational Cost Reduction– Automated data processes reduced expenses, optimizing resources.
About the client
A leading healthcare provider, focused on of genomic sequencing and analytics, drives personalized cancer vaccines and other next-generation cancer immunotherapies through predictive data insights. The company’s extensive data collection, testing for cancer vaccine development demands seamless, high-quality data integration to advance precision medicine.
Business Challenge: Overcoming Data Fragmentation and Inconsistencies
The client faced challenges in transforming data from obtaining a unified, consistent view of data. Their data, collected from multiple sources and processed through various testing phases into cohesive, actionable insight due to:
- Fragmented Data Sources: Data was sourced from multiple systems and testing phases, leading to incomplete, inconsistent reports.
- Data Quality Gaps: Without centralized data validation, inconsistencies persisted and threatened the reliability of unreliable critical insights.
- Operational Inefficiencies: The lack of streamlined data processing slowed down reporting and legacy systems hampered the speed of response, affecting patient care.
- Scalability Constraints: Growing data volumes overwhelmed legacy systems, limiting the company’s ability to expand its data-driven insights and support larger-scale operational decisions effectively.
Cognida.ai Solution: Building a Data-Driven Foundation
After a thorough analysis of client’s systems, Cognida.ai took a methodical and phased approach in developing a centralized Data Warehousing Hub.
- Phase 1 Unified Data Model For Tableau: A scalable, unified data model tailored for Tableau reporting enabled healthcare and life sciences teams have access to data visualization across DNA sequencing and testing processes helped unlock real-time insights and reduced reporting errors.
- Phase 2 BigQuery-Powered Operations Data Model: Using Google BigQuery’s processing strength, Cognida.ai built automated data ingestion pipelines ensuring continuous, validated data flow. This approach enhanced data consistency and streamlined reporting, reducing errors and decision-making time.
Client Testimonial
“Cognida.ai is obsessed with delivering high quality work. Their flexibility with fluid business requirements, and their ability to use technology to drive business outcomes makes them a partner of choice.” ~ Anil M., Head of IT Business Systems
Cognida.ai’s structured, scalable and centralized data hub solution empowered the client to enhance treatment precision, optimize resources, and drive cost-effective, faster decision-making—putting data at the heart of impactful healthcare transformation.
