HR data warehouse and self-service analytics
A Data Lake and Warehouse delivered in 14 weeks that cut financial closing from seven man-days to one.
0%
Faster financial closing
01Challenge
Data silos across applications delayed allocations and financial reimbursements. Financial closing loads failed under space restrictions and subpar performance, and there was no data democratization or user self-service.
02Solution
We delivered an AWS solution using Glue, RDS, NAT Gateway, S3, and Power BI. A Data Lake and Data Warehouse were built in 14 weeks on our Data Fabric framework, with automated notifications, an event-driven architecture, and AWS CodePipeline for deployments.
03Stack
- AWS Glue
- Amazon RDS
- Amazon S3
- Power BI
- AWS CodePipeline
- Data Fabric
04Outcomes
Near real-time BI reports with daily KPIs
Event-driven architecture with automated notifications
Independent FTE allocation and analysis for 20+ users
05Results
MEASURED IN PRODUCTION- Reduction in closing time (7 days to 1)
- 0%
- Shorter release cycle via CodePipeline
- 0%
- Self-service users
- 0+
- Improvement in operational efficiency
- 0%
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