Case Study
Big Data
Driving value and exploring new business opportunities leveraging Big Data efficiencies.
Challenge
- A leading Global Bank was driven to be an early “Big Data” adopter and set out to modernize their legacy data stores, incorporating new data sets to support business-driven endeavors.
- As part of their initiative, they were challenged with architecting an effective Big Data solution and capabilities to support the needs of their Regulatory, Risk & Compliance, Finance and Operational Analytics consumers.
- As an early adopter, they intended to derive value from their investments, however uncontrollable growth, frequent outages and inability to identify root cause, lead to inconsistent and sub optimal performance.
Solution
- Partnering with the EEI Big Data team, our experts provided deep technical leadership to conduct a High-Level Architecture Review & Assessment of their current Big Data deployment.
- The strategic review evaluated all aspects of their environment including the design, architecture, technology practices & procedures, performance & stability of the client’s Hadoop Platform for a Risk, P&L and Post Trade systems.
Business Value
- The client was quickly able to optimize their Big Data plant into a mature environment and realized the benefits they expected while driving down the cost of their data supply chain.
- The client leveraged recommendations to drive efficiency and better ROI on investment through optimal Multi-Tenancy and associated derived value from a shared data ecosystem while working seamlessly across tenants.
- Building an efficient Big Data Plant was achieved to support business commitments and deliverables that allowed the firm to look beyond day-to-day operations and to explore new business opportunities and derive new value from data.