Case Studies

Real results from real clients. See how we help financial services firms transform their data infrastructure.

Hedge FundData Engineering

$15B Multi-Strategy Hedge Fund: Real-Time Portfolio Analytics

Replacing manual Excel-based processes with an automated cloud data platform that delivers real-time portfolio insights and investor reporting.

Challenge

Portfolio managers spent 20+ hours weekly on manual data aggregation from multiple prime brokers and administrators. Investor reports took days to produce.

Solution

Built a Snowflake-based data warehouse with automated ETL from all data sources, real-time dashboards, and one-click investor reporting.

Results

95% reduction in manual reporting time. Real-time P&L updates. Investor reports generated in minutes instead of days.

Key Outcomes

20+ hours/week saved per PM
Real-time position and P&L visibility
Automated daily investor updates
95% faster report generation
8-week implementation timeline
Private EquityAnalytics Automation

$8B Private Equity Firm: Portfolio Company Monitoring Platform

Unified analytics platform providing real-time visibility across 25+ portfolio companies with automated LP reporting.

Challenge

Manual collection and consolidation of financial data from portfolio companies. Quarterly LP reports required weeks of analyst time.

Solution

Implemented Power BI-based platform with automated data feeds from all portfolio companies and standardized KPI tracking.

Results

80% reduction in reporting time. Real-time portfolio health monitoring. Standardized metrics across all investments.

Key Outcomes

Real-time portfolio company dashboards
80% faster LP report generation
Standardized KPIs across all holdings
Automated monthly board packages
12-week implementation timeline
Asset ManagerAI & Machine Learning

Alternative Asset Manager: ML-Powered Risk Analytics

Implementing machine learning models for predictive risk analytics and anomaly detection across a diverse portfolio.

Challenge

Traditional risk models failed to capture complex relationships in alternative investments. Manual review processes were slow and error-prone.

Solution

Built custom ML models on Databricks for risk forecasting and anomaly detection, with automated alerting and investigation workflows.

Results

40% improvement in risk prediction accuracy. Early detection of portfolio issues saving millions in potential losses.

Key Outcomes

40% better risk prediction accuracy
Automated anomaly detection and alerts
Real-time risk monitoring dashboards
Early issue detection preventing losses
16-week implementation timeline

Ready to Transform Your Data Infrastructure?

These are just a few examples of how we help financial services firms modernize their data platforms. Every engagement is tailored to your specific challenges and goals.

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Ready to Transform Your Data Infrastructure?

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