Situation
A Fortune 500 pharma company was burdened by rising technology costs and inefficiencies tied to their on-premise SAP HANA database. They needed a scalable solution to reduce costs while ensuring service continuity and data integrity.
Challenge
The hurdles were clear but daunting:
- Escalating costs, with SAP HANA licenses straining budgets.
- Maintenance inefficiencies consuming resources and reducing productivity.
- Data migration complexities, risking integrity and consistency during the transition.
- Service continuity concerns, requiring a flawless post-migration performance.
Approach
Mu Sigma implemented a game-changing migration to Snowflake, leveraging Talend for seamless integration and robust data quality management. Key steps included:
- Automating ETL scripts and stored procedures for a smooth transition.
- Conducting thorough data quality checks to address duplicates and ensure integrity.
- Boosting scalability and reducing maintenance demands by leveraging SaaS architecture.
Our proactive strategy ensured a high-performance, cost-effective data warehouse with minimal disruption to ongoing operations.
Impact
- 66% reduction in technology costs, slashing unnecessary expenses.
- 85% reduction in query time, significantly enhancing system performance.
- $100K in annual savings, redirecting funds to strategic initiatives.
- A more efficient, low-maintenance data infrastructure, enabling focus on core business goals.
Business Impact
-
66%
reduction in technology costs
-
85%
reduction in query time
Let’s move from data to decisions together. Talk to us.
The firm's name is derived from the statistical terms "Mu" and "Sigma," which symbolize a
probability distribution's mean and standard deviation, respectively.
