Recommendations and roadmap
Design and best practices
Risk and governance plan
Big data strategy
The challenge
Optimizing big data infrastructure for future analytics
A leading US health insurer aimed to enhance its big data infrastructure to better support future analytics use cases. The company sought to assess its current big data capabilities and infrastructure, benchmarked against industry standards.
Key challenges
Evaluating existing big data use cases and infrastructure
Identifying key business needs and new big data use cases
Developing a blueprint for infrastructure to support clinical analytics
The solution
Big data roadmap and strategy
Big data strategy
Defined data components
Focused on insights
Created roadmap
Use case finalization
Finalized use cases
Developed scope and plan
Aligned with goals
Implementation approach
1
Gap analysis
Evaluated capability gaps
Identified upgrades
Assessed data architecture
2
Architecture evaluation
Assessed platforms
Benchmarked alternatives
Provided gap report
3
Final recommendations
Created roadmap
Provided best practices
Offered visualization guidelines
The impact
Empowered future big data use
Recommendations and roadmap
Provided roadmap
Supported use cases
Delivered strategies
Design and best practices
Developed design
Applied big data setup
Aligned with standards
Risk and governance
Created risk plan
Established governance
Enabled smooth execution
Looking ahead
Enhanced analytics
Use big data insights for predictive analytics
Sustained process optimization
Streamline infrastructure for fast data processing
Scalable infrastructure growth
Expand use cases for business innovation
