DATA & AI CUSTOMER SUCCESS STORIES
Global Investment Firm
CLIENT: GLOBAL INVESTMENT FIRM SOLUTION: DATA MIGRATION/DATA PLATFORM OPTIMIZATION PARTNERS: DATABRICKS/dbt LABS
Databricks Optimization: Indicium Scales Growth for Global Investment Management Firm
A leading Global Investment Management firm modernized its data platform to enhance performance, reliability, and cost efficiency. After migrating to the Databricks Data Intelligence Platform, leadership sought a trusted partner to optimize the environment and fully realize its capabilities for real-time analytics, risk management, and AI-driven financial insights.
Achieved
Reduction
Pipeline Development
Challenge
The firm faced critical challenges in leveraging Databricks effectively:
- Data Governance – Data pipelines lacking governance eroded risk modeling and decision-making confidence.
- Reliability – Frequent downtime impacted timely access to market and portfolio insights.
- Performance – Slow query execution limited the ability to process large-scale financial datasets.
- Cost Optimization – Inefficient resource allocation drove unnecessary cloud expenditures.
The organization required more specific knowledge on the modern data stack and Databricks to meet its evolving needs. This prompted the firm to seek a strategic data partner capable of delivering scalable, high-performance financial data solutions.
Solution
Indicium established itself as the firm’s strategic Databricks services partner to optimize the platform to deliver high-performance analytics, operational efficiency, and AI-driven automation. The engagement began with Databricks performance optimization and expanded to include:
- Databricks SQL & Photon Optimization – Reduced latency for faster trade execution and portfolio analytics.
- Unified Governance with Unity Catalog – Strengthened security, compliance, and data access controls.
- Data Science & AI Enablement – Leveraged Databricks ML to enhance fraud detection, risk modeling, and financial forecasting.
- Scalability & Elastic Compute – Ensured the platform could support dynamic workloads and evolving regulatory requirements.
Through the IndiMesh Framework, Indicium implemented best-in-class financial data governance, AI-powered automation, and real-time analytics processing. With automated quality assurance, reusable architecture templates, and advanced training, the firm rapidly improved data reliability and operational efficiency.
Results
- Time to Market: 50-60% faster development of new data pipelines, improving data access for decision makers.
- 99.9% Uptime Achieved – Ensured uninterrupted access to financial data.
- 20-35% Cost Reduction – Optimized Databricks resource allocation and cloud spend. Achieved annual cost savings of $1 million.
- Enterprise-Grade Data Governance – Strengthened compliance and security with Unity Catalog.
- AI-Driven Risk & Fraud Detection – Enabled predictive analytics to mitigate financial exposure.
Why Indicium
Indicium’s deep expertise in financial data transformation with Databricks, flexible engagement model, and AI-enabled solutions positioned it as the firm’s go-to partner. By leveraging the IndiMesh Framework, Indicium delivered structured data quality assurance, regulatory compliance frameworks, and AI enabled quality assurance processes to ensure the firm maximized its investment in Databricks.
With Databricks now fully optimized for financial analytics, real-time decision-making, and AI-driven risk mitigation, the firm operates with greater speed, efficiency, and cost-effectiveness, ensuring long-term competitiveness in wealth and asset management.