Challenges
- Aging and Legacy BI Solution: Falling behind business needs
- Data Silos: Growing transactions across carrier, digital marketing, billing and CRM systems
- Siloed analytics: Loss of visibility
- Large Load windows: Large load windows with frequent outages
- Costs: Spiraling engineering costs across multiple, competing analytic stacks.
Solution
- Data Lake: Serves as ultimate data repository.
- Harnessing key enterprise data assets into single high performance, high scale ad hoc analytics platform.
Impact
- Highly performant analytics: Novel, Multi-layered data architecture.
- Delivers high performance at low costs
- Highly available