Global Investment Management Firm' Data Optimization
Business Challenge
Reporting operations were constrained by a fragmented ecosystem of internal and external data sources. Analysts and operations teams relied on manual data imports into Excel, followed by custom manipulation and formatting to generate reports across domains such as performance, compliance, and client servicing. This process was:
Labor-intensive: 14 FTEs were involved in repetitive reporting tasks.
Error-prone: Manual workflows increased the risk of inconsistencies and compliance gaps.
Non-scalable: The lack of automation limited agility and responsiveness to business growth.
Strategic Solution
BroadPoint designed and implemented a custom data management platform in three phases:
Proprietary Data Warehouse: Automated ingestion from 20+ third-party sources with real-time backup and disaster recovery.
Reporting Engine: Enabled automated extraction and delivery of 24+ standard reports, including performance, attribution, holdings, and transactions.
BI & Analytics Layer: Delivered OLAP-based querying, real-time dashboards, and alerting mechanisms for data anomalies.
Business Impact
80% reduction in manual reporting effort
Real-time access to authoritative AUM, performance, and compliance data
Improved data governance and auditability across all reporting domains
Scalable architecture supporting future analytics and AI initiatives
Strategic Learnings
Manual reporting is rarely just a tooling issue—it reflects deeper fragmentation in data architecture and ownership.
Automation must be paired with governance—success hinged on building a proprietary warehouse with full control over ingestion, validation, and retention.
BI is not a phase—it’s a mindset—embedding analytics into operational workflows (e.g., alerting, exception handling) drives real-time decision-making.
Scalability is a differentiator—the platform was designed to accommodate future integrations with OMS, marketing tools, and client portals.