Frequently Asked Questions

Find answers.

Unlocking Value: Features and Benefits

Is Point a Portfolio Management System (PMS)?

No, Point is not a traditional PMS. It is an Investment Data Intelligence (IDI) platform designed to integrate with your existing PMS, providing advanced analytics, reporting, data aggregation, and seamless integration across systems.

Why does Point have a data warehouse, and what does this capability provide me?

The Point platform includes a data warehouse to centralize, store, and organize investment data efficiently. This allows you to unlock powerful analytics, ensure data consistency, and access a single source of truth for reporting and decision-making.

Does the Point platform provide CRM functionality?

No, Point is not a CRM platform. However, it can integrate seamlessly with existing CRM systems to enhance client and portfolio insights through aggregated and validated investment data.

Does the Point platform provide an end-client app and portal?

Point does not offer a native end-client portal. Instead, it provides the data infrastructure and integration capabilities needed to support and power client-facing applications or portals already in use.

Why is having a data warehouse capability critical for the coming AI revolution?

AI relies on high-quality, structured data to deliver accurate insights. A data warehouse ensures that your data is centralized, validated, and AI-ready—empowering advanced analytics, machine learning, and predictive capabilities for the future.

Back to top

Understanding Point: The Essentials

What is the difference between the Point IDI platform and traditional PMS solutions?

Traditional PMS solutions primarily focus on managing portfolios. Point goes further by aggregating, validating, and analyzing data across systems, providing a holistic view of your investment data and unlocking insights that PMS tools alone cannot deliver.

Why is persistent data important?

Persistent data ensures that historical and current data is stored reliably over time. This is critical for accurate trend analysis, compliance, auditing, and consistent reporting—key to effective decision-making.

What is the difference between a data warehouse and a data lake?

A data warehouse stores structured, processed data optimized for analytics and reporting, whereas a data lake stores raw, unstructured, or semi-structured data. Point’s data warehouse focuses on delivering clean, validated data ready for actionable insights.

What is a Target Operating Model?

A Target Operating Model (TOM) outlines the ideal structure, processes, and systems for your organization to achieve its business goals. Point helps organizations design a TOM by streamlining investment data management and aligning systems for efficiency.

Back to top

Adopting Point: Pricing & Onboarding

How is the Point platform priced?

Point uses a flexible, subscription-based pricing model. Costs are based on factors like the size of your organization, the number of data integrations, and the specific modules you require. This ensures you only pay for what you need.

How long does onboarding and implementation take?

Onboarding typically takes between 4 to 12 weeks, depending on the complexity of your data environment and integrations. The Point team works closely with you to ensure a smooth and efficient implementation process.

What kind of support does Point provide during onboarding?

We provide a dedicated onboarding team to assist with configuration, data mapping, and integration. After onboarding, you receive access to ongoing support, including a help desk, training resources, and a customer success manager.

Can I integrate Point with my existing systems?

Yes, Point is designed to seamlessly integrate with your existing tech stack, including PMS, CRM, reporting tools, and other data systems. This enables you to maximize the value of your current infrastructure while enhancing it with Point’s capabilities.

Back to top