An Investment Data Intelligence (IDI) platform

The Point platform empowers wealth and asset managers to build data-first businesses by aggregating, analysing, visualising, and sharing investment data.

Point enhances decision-making and client engagement, providing the foundation for building a scalable business by integrating best-in-class tech from across the industry.

Elements

Point-layer-diagram
1. Aggregation Layer
Collect transactional investment and market data from multiple custodians and managers across all asset classes.

Our flexible approach to aggregation allows us to support managers of all types and sizes.

2. Independent Investment Book of Record (IIBOR)
Maintain a proprietary single source of truth for all investment data. 

The IBOR provides an accurate, reconciled and automatically updated record of all assets. This is the foundation for analysis and reporting. 

3. Analytics Engine
Benefit from both on-demand and persistent analytics. 

This architecture maintains analytical flexibility and delivers historical analysis, auditability, and traceability of data, ensuring data can be exploited for use by investment, client relationship, leadership, finance and ops teams. 

4. Data Warehouse
Underpin your intelligence and data function with a scalable, historical and extensible centralised architecture.

Our data warehouse enables users to overcome the challenges of data silos by centralising their structured and unstructured data sets ready for exploitation, audit and historical analysis.

5. Open Data-sharing
Enable seamless data sharing and integration with third-party solutions. 

The Open Data-sharing capability supports flexible and modular operating models, allowing for customised technology ecosystems to be built from a reliable data foundation. 

6. Intuitive UI and reporting (including AI assistant)
Interact easily and simply with your data through intuitive dashboards, pixel perfect client reporting and embedded customizable analytics.

“Talk to your data” via your own AI data assistant (coming Q4 2024) and get instant responses to your questions. 

Real-World Use Cases