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The Client
Global investment company headquartered in UK
Challenges
- Specialized resources spent too much time in consolidating and cleaning source data
- Information was distributed across disparate systems with varying levels of confidentiality, leading to issues in aggregation and access management
- Teams using different software for insight into organizational data comes with cost and maintenance overheads
- Need for a modern, cost-effective, scalable, and shared analytical platform
Solutions
- Architected and designed a Cloud-based platform which is cost-effective, scalable and shared across teams
- Deployed on Azure HDInsight driven through ARM templates
- Data ingested via scheduled Data Factory pipelines
- CI/CD setup for deployment of scripts, data factory pipelines and configuration tables
Benefits
- Faster creation and backtesting of models
- Enabling the reutilization of data with factors and techniques that have proven their value
- Delivering advanced performance analytics and insights into their investment process
- Enriching research process and providing predictions and recommendations to support decisions
