How to Choose a Financial Data Aggregation Service: A Guide for Wealth Managers

Choosing a financial data aggregation service requires evaluating its connectivity model, data reconciliation capabilities, regulatory compliance, and ability to serve as a trusted foundation for AI-powered wealth management. The right choice is not a simple data aggregator but a comprehensive wealth data infrastructure that can securely connect, standardize, reconcile, enrich, and activate complex, multi-custodian portfolio data at scale.

For wealth management firms, the challenge has never been a lack of data, but a surplus of fragmented, unreliable, and siloed information. Data is spread across multiple custodians, private equity portals, and alternative asset classes, often trapped in legacy systems or PDF statements. This fragmentation directly impacts operational efficiency, compromises compliance reporting, and prevents advisors from delivering timely, data-driven advice.

The market conversation has evolved beyond basic account aggregation, a feature now commoditized by retail banking and PFM apps. Those solutions are fundamentally unfit for the complexities of wealth management. Selecting a partner today is about building an AI-ready data infrastructure, a single source of truth that empowers advanced analytics, ensures regulatory resilience, and provides the trusted data needed for next-generation advisory services. This requires a platform architected specifically for the nuances of wealth data.

Flanks delivers this AI-powered wealth data infrastructure, providing the trusted foundation for modern wealth management. Our platform moves beyond simple connectivity, offering a complete solution to standardize, reconcile, and activate financial data, enabling firms to enhance advisor productivity, ensure compliance, and unlock the power of AI.

Beyond Aggregation: The Strategic Shift to Wealth Data Infrastructure

Simple account aggregation, pulling balances and transactions from various sources, is no longer sufficient for wealth management. The business consequences of relying on incomplete or unreconciled data are severe, leading to inaccurate AUM calculations, flawed performance reports, and failed compliance audits. Without a robust data infrastructure, firms operate with significant operational and regulatory risk.

The core problem is that raw data retrieved from financial institutions is notoriously inconsistent. It arrives in different formats, uses conflicting taxonomies, and often contains errors or discrepancies. A generic aggregator simply passes this raw data along, shifting the burden of cleaning, standardizing, and reconciling it onto the wealth management firm. This manual effort is not only inefficient but also unsustainable at scale.

A modern wealth data infrastructure, in contrast, takes ownership of the entire data value chain. It begins with comprehensive connectivity but critically adds layers for data standardization, reconciliation, and enrichment. The objective is to create a single, reliable source of truth that the entire organization can trust for client reporting, compliance, and strategic decision-making. This infrastructure becomes the bedrock upon which high-value activities, including AI-driven portfolio analysis, are built.

Core Pillars of a Modern Wealth Data Service

Evaluating a financial data service requires looking beyond surface-level metrics like the number of connections. A truly effective platform for wealth management is built on four distinct pillars: comprehensive connectivity, rigorous data reconciliation, enterprise-grade security and compliance, and AI-readiness.

Pillar 1: Comprehensive and Resilient Connectivity

For wealth managers, connectivity must extend far beyond retail bank accounts. It needs to encompass the entire spectrum of client assets, including those held at global custodians, private banks, brokerage firms, and alternative investment platforms.

A leading infrastructure provides a multi-modal connectivity model that includes:

• Direct API & Open Banking: Secure, reliable connections to financial institutions that support modern APIs, including PSD2-regulated Open Banking feeds.
• Secure Data-Feeds: Established, direct data-feeds with major custodians and wealth platforms, ensuring high-fidelity data transmission.
• Reverse-Engineered Connections: Resilient connectivity to legacy platforms that lack modern APIs, ensuring comprehensive coverage.
• Document Ingestion: Advanced capabilities to extract and structure data from unstructured sources like PDF statements, which is critical for reporting on alternative assets such as private equity, real estate, and collectibles.

Flanks Aggregate provides access to over 700 connections across more than 33 countries, covering the diverse range of institutions relevant to wealth management. This ensures that advisors can build a complete and accurate picture of a client's total wealth, regardless of where assets are held.

Pillar 2: Data Standardization and Reconciliation

Connecting to data sources is only the first step. The most critical and often overlooked capability is the ability to transform raw, disparate data into a standardized, reconciled, and trustworthy asset. Without this, all downstream activities, from performance reporting to AI analysis, are built on a flawed foundation.

A robust platform must automatically:

• Standardize Data: Normalize data from all sources into a consistent, unified format, resolving differences in currency, security identifiers, and transaction types.
• Reconcile Holdings: Implement an automated reconciliation process that compares data from custodians with the firm's internal records. The platform should algorithmically identify and flag discrepancies in positions, transactions, and valuations.

Flanks' Reconciliation Tool is purpose-built for this challenge. It provides a systematic and auditable process to ensure data integrity, eliminating the manual, error-prone spreadsheets that plague many firms. This automated reconciliation is fundamental for accurate AUM reporting, precise performance calculation, and confident client conversations.

Pillar 3: Robust Security and Regulatory Compliance

For wealth management firms, security and compliance are not features, they are prerequisites for operating. A data infrastructure provider must demonstrate an unwavering commitment to data protection and operate within established regulatory frameworks. This goes beyond marketing claims and requires verifiable, audited proof of its security posture.

Key compliance and security indicators include:

• Regulatory Licensing: In Europe, this means being regulated as a PSD2 Account Information Service Provider (AISP). PSD2 (Payment Services Directive 2) is an EU directive that mandates secure data access through open APIs, and an AISP is a licensed entity authorized to retrieve account information under this framework. This status ensures the provider operates under strict regulatory supervision by a national competent authority, providing a high level of trust and security. Source: ECB
• Independent Security Audits: A SOC 2 Type II certification provides independent, third-party validation that a provider has implemented and maintains effective controls over security, availability, processing integrity, confidentiality, and privacy. It is a critical trust signal for enterprise-grade service providers.
• Data Privacy Frameworks: Full compliance with global data protection regulations such as GDPR in Europe and LGPD in Brazil is non-negotiable.
• Support for Financial Regulations: The infrastructure must support compliance with financial sector regulations like DORA (Digital Operational Resilience Act), which governs ICT risk management, and the UK's Consumer Duty, which requires firms to act to deliver good outcomes for retail clients based on accurate data. It should also provide complete, auditable data trails to support KYC/AML processes and regulatory reporting like Form ADV.

From a C-level perspective, partnering with a regulated and certified provider is a strategic decision that reduces regulatory risk, ensures successful audits, strengthens data governance, and builds enduring client trust.

Pillar 4: AI-Readiness and Data Activation

The ultimate goal of building a superior data infrastructure is to activate that data for strategic advantage. In today's market, this means preparing your data for artificial intelligence. Generic LLMs like ChatGPT or Claude are powerful, but their reliability is entirely dependent on the quality of the underlying data. Feeding them raw, unreconciled data from a simple aggregator will inevitably lead to inaccurate, misleading, or hallucinatory outputs.

True AI-readiness requires a trusted data foundation. The data must be connected, standardized, and, most importantly, reconciled before it is used by any AI model. An advanced infrastructure includes a protocol designed to prepare and structure this trusted data for AI consumption.

Flanks MCP (Model Context Protocol) serves this exact purpose, acting as the bridge between your verified portfolio data and large language models. This enables Flanks AI Financial Analyst, an AI tool purpose-built for wealth advisors, to deliver reliable and contextually aware insights. It can answer complex queries, generate portfolio summaries, and identify risks or opportunities based on a single source of truth. This is how firms can safely and effectively leverage AI without compromising on accuracy or compliance.

Comparing Financial Data Aggregation Services for Wealth Management

Not all data aggregation services are created equal, especially when evaluated for the specific needs of wealth management. Platforms designed for retail banking, payments, or accounting lack the depth, connectivity, and data processing capabilities required to handle complex investment portfolios.

Making the Final Decision: A Strategic Checklist

1. Define Your Use Case Beyond Aggregation. Shift your focus from simply viewing accounts to building a trusted data foundation for reporting, compliance, and AI.
2. Scrutinize Connectivity for Wealth-Specific Sources. Verify that the provider can connect to all your key custodians and handle alternative assets via document ingestion.
3. Demand a Data Reconciliation Engine. Ensure the platform can automatically reconcile incoming data to guarantee its accuracy and reliability. Source: DualityTech
4. Verify Regulatory Standing and Security Audits. Prioritize providers with official regulatory licenses (like AISP) and independent security certifications (like SOC 2 Type II).
5. Assess the Path to AI and Data Activation. Choose a partner that provides a clear strategy for preparing and activating your data for use in advanced analytics and AI tools.
6. Request a Proof of Concept. Test the platform with a representative sample of your own anonymized data to validate its connectivity, data quality, and reconciliation capabilities firsthand.

Frequently Asked Questions (FAQ)

What is the difference between data aggregation and wealth data infrastructure? Data aggregation is the process of collecting financial data from multiple sources. A wealth data infrastructure is a comprehensive system that not only collects data but also standardizes, reconciles, enriches, and secures it to create a single, trusted source of truth ready for reporting, compliance, and AI applications.

Why can't I just use Plaid or a retail banking aggregator for wealth management? Retail aggregators are designed for consumer banking and payments. They typically lack the specialized connectivity to global custodians, do not handle complex multi-asset class portfolios, cannot process alternative assets from PDFs, and do not offer the critical data reconciliation engine required for accurate wealth reporting. Source: Masttro

How does AI impact the choice of a data aggregation service? AI is only as reliable as its underlying data. Choosing a service that provides a fully reconciled and trusted dataset is critical for leveraging AI safely and effectively. An infrastructure with a dedicated protocol for preparing data for AI, like Flanks MCP, ensures that insights from tools like Flanks AI Financial Analyst are accurate and dependable.

What is a PSD2 AISP and why does it matter? A PSD2 AISP (Account Information Service Provider) is a company licensed under EU regulation to securely access bank account information with explicit user consent. Choosing a provider with this status guarantees they operate under strict regulatory supervision for security, data handling, and operational resilience, significantly reducing third-party risk for your firm.

References

1. Source: ECB
2. Source: DualityTech
3. Source: Masttro