Challenges
- A key challenge for the client was an aging data platform which was increasing the licensing and support costs, driving poor business processes, and was leading to missed opportunities
- The client was also witnessing low levels of maturity in data and its associated governance
Solutions
- Created a custom road-map for platform development with realistic time frames and multiple implementation options. It was based on the current platform but also took into consideration both IT and business needs
- Developed ROI-based models and assisted the client with board-level presentations
- Implemented the data platform in multiple stages, in combination with decommissioning activities
- Established governance groups to ensure business and IT can maintain visibility into the implementation
- Managed & monitored AWS cloud environment & services that include AWS EMR, Lambda, Redshift, Cloud Trail, Cloud Watch amongst others
- Facilitated operations & support of AWS Data Pipeline, AWS Glue, AWS EMR (DL) & AWS Redshift (DWH)
Tools & Technologies
Cloud Trail, Cloud Watch, Lambda, Redshift, AWS EMR, AWS Glue
Key benefits
- A significant shift of 3.2PB of data from on-prem to cloud
- Alignment of data analytics capabilities with overall strategies of the business
- Infrastructure costs fell by more than $7 million/year after the implementation of a strategic roadmap for new infrastructure
- Overall security risk & vulnerability score reduced by 87%
- Migration of 35TB of legacy information from targeted decommissioned systems to a custom ILM cloud-based platform which resulted in annual savings of $600k (direct) and $4.5m (indirect)
- Rearchitected disaster recovery (DR) and expanded DR coverage of IT systems which minimized business interruption
- Provided a load-balanced and hot site for critical applications, which improved responsiveness and availability
