Portfolio Analytics

PORTFOLIO ANALYTICS

Turn portfolio data into actionable
insights to optimize performance
and manage risk

  • Gain a unified view across portfolios, asset classes, and regions
  • Empower teams with self-service, real-time insights
  • Enhance transparency and investor confidence

WHO uses it

Portfolio Managers, Risk Managers, and Performance Measurement Teams rely 
on accurate portfolio insights to evaluate exposures, track performance, and stay aligned with mandates.

For Portfolio Managers, portfolio analytics are used to assess positions and performance drivers in real time. Risk Managers employ them to monitor risk budgets and portfolio volatility to ensure compliance with defined limits. And Performance Analysts use them to identify sources of return and benchmark variances.

Without integrated analytics, teams struggle to consolidate data, reconcile results, and validate performance, leading to delayed insights, inconsistencies, and slower responses to market or client demands.

WHAT it’s used for

Portfolio Analytics provides a consolidated, transparent view of holdings, exposures, and performance across all portfolios. It helps answer key management questions such as:

  • “What do I own, and where do I own it?” This capability identifies positions and exposures across custodians, asset types, and geographies.
  • “How is my performance attribution evolving?” The analysis uncovers returns by factor, sector, and security to highlight sources of alpha or drag.
  • “Am I within my risk budget?” The system monitors deviations from risk parameters and ensures compliance with investment mandates.
  • “What key metrics am I tracking?” Dashboards present diversification, performance trends, risk metrics, and liquidity measures.

The result is faster, fact-based decision-making, improved risk oversight, reduced reporting latency, and a stronger understanding of portfolio behavior over time.

HOW it works

Data Aggregation: The solution ingests holdings, benchmark, and transaction data from custodians, order management systems (OMS), data warehouses, and market data vendors into a centralized analytics environment.

Data Modeling: Integrated data models harmonize disparate data sources, normalizing asset classifications, currencies, and identifiers for consistent analytics across asset classes.

Analytics Engine: Advanced modeling tools process risk, performance, and attribution metrics to calculate exposures, returns, value-at-risk, and other performance analytics in near real time.

Visualization & Reporting: Interactive dashboards built on platforms like Power BI or Tableau enable users to filter by portfolio, region, or strategy. Users can drill down to position-level insights or roll up to firm-wide performance summaries.

Governance & Controls: Embedded audit trails, user permissions, and configurable thresholds enable data transparency and control to support compliance with reporting and disclosure mandates.

Distribution & Integration: APIs and export tools deliver analytics outputs and visualizations directly to portfolio management, risk, and reporting systems, ensuring alignment across front-, middle-, and back-office functions.

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