At $5B+ in AUM, the data challenges aren't bigger versions of small-firm problems. They're fundamentally different. Your infrastructure should be too.

Enterprise RIAs — firms managing $5 billion or more in client assets — operate at a scale where the technology approaches that work for smaller firms begin to break down. Multi-office operations, post-acquisition integration, hundreds of advisors, multiple custodian relationships, and enterprise compliance requirements create a data environment that no single vendor tool was designed to handle. The firms that scale successfully build a data layer that sits beneath their operational tools — connecting everything, owned by the firm, and independent of any single vendor's platform.

Where Scale Breaks Things

At $500M, a firm can run on one CRM, one portfolio system, and one custodian. At $5B+, that's impossible.

• M &A introduces new systems with every acquisition — you inherit the target's CRM, portfolio system, and custodial relationships. Post-merger integration is fundamentally a data problem: how do you combine two firms' client records, portfolio data, and operational histories into one view?

• Multi-office means multi-everything — different workflows, different tech preferences, different local practices — all needing to report up to a unified firm view.

• Compliance at scale — SEC examination expectations for a $10B firm are materially different from a $500M firm. Regulators expect systematic oversight, not manual spot-checks.

• Advisor compensation becomes exponentially complex — tiered grids, team structures, revenue sharing, acquisition-related earnouts — all requiring data from multiple systems.

• Client segmentation matters more — at 5,000+ households, you can't know every client personally. Data-driven segmentation is how enterprise firms deliver personalized service at scale.

These are not problems that more software licenses solve. They are data architecture problems. The firms that operate at enterprise scale without a unified data layer spend enormous resources reconciling systems, delaying decisions, and managing exceptions manually. The firms that solve the data problem first gain a structural operational advantage.

Enterprise Data Requirements

The data infrastructure that supports a $5B+ firm needs to satisfy requirements that mid-market tooling was never designed to address.

01

M&A Integration Speed

Every acquisition brings new systems. The firm that can integrate a target's data in weeks instead of months has a structural advantage in a consolidating industry.

02

Multi-Custodian at Scale

3-5+ custodian relationships, each with different feed formats, different timelines, and different data models. Normalized into one schema automatically.

03

Advisor-Level P&L

Revenue, costs, and profitability at the advisor level, the team level, the office level, and the firm level. Requires data from billing, custodians, CRM, and HR systems joined together.

04

Enterprise Compliance

Systematic surveillance, advertising review, trade monitoring, and books-and-records at a scale that satisfies SEC expectations for large advisors. Data-first, not manual.

05

Board and Investor Reporting

Private equity sponsors, minority investors, and advisory boards expect institutional-quality reporting. That requires institutional-quality data infrastructure.

06

Operational Scalability

A data platform that handles 5,000 clients today must handle 15,000 after your next three acquisitions without re-architecture.

Milemarker for Enterprise RIAs

Milemarker provides the data layer beneath your operational systems — not a replacement for them. Your CRM, portfolio system, custodians, planning tools, and compliance systems all feed into one Snowflake warehouse your firm owns.

Post-Acquisition Integration

Milemarker can connect to the target's systems alongside your existing infrastructure — both data sets land in the same warehouse. This means unified reporting can begin before operational integration is complete. Advisors can see consolidated AUM. Leadership can see combined revenue. The data problem is solved independently of the operational timeline.

Multi-Office Operations

Each office can run its preferred tools. Milemarker normalizes the data regardless of source system. A firm running Wealthbox in one office and Salesforce in another, with different custodial relationships at each location, can report unified metrics across all offices from a single warehouse — without forcing standardization at the operational level.

AI Queries Across the Full Firm

Milemarker's AI layer reads from the unified warehouse. Questions that would previously require days of data assembly become immediate answers:

• "What is our total AUM by custodian?"

• "Which offices have the highest advisor attrition?"

• "What is our blended fee rate by client segment?"

• "Which acquired firms are still running on legacy systems?"

These are answered in seconds from unified data — not assembled manually from exports.

Enterprise Security

SOC 2 Type II, encrypted data in transit and at rest, role-based access controls, audit logging — the controls enterprise firms and their compliance teams expect. Your firm owns the Snowflake instance. Milemarker can provide security documentation for compliance team review.

Before Milemarker

Post-acquisition integration takes 12-18 months

Each office reports differently

Advisor P&L assembled manually

Compliance is system-by-system

Board reporting takes weeks to compile

Adding a custodian is a project

With Milemarker

Acquisition data integrated in weeks

Unified reporting across all offices

Advisor P&L from unified data

Compliance data consolidated automatically

Board reporting from a single source

New custodians connect to existing infrastructure

The M &A Advantage

The RIA industry is consolidating. The firms that acquire successfully are the ones that integrate data quickly.

Due Diligence

Milemarker can help firms evaluate acquisition targets by providing a framework for assessing data quality and system complexity. Understanding the technology stack and data architecture of a target firm before close gives acquirers a clearer picture of post-close integration costs and timelines.

Post-Close Integration

Connecting a new firm's custodian and CRM data to your existing warehouse is a configuration exercise, not a development project. Milemarker's pre-built connectors for 130+ advisory tech systems mean the acquired firm's data sources are likely already supported. Both firms' data lands in the same schema from day one of the integration effort.

Advisor Retention

Advisors leaving after an acquisition is often triggered by operational disruption. Faster data integration means faster operational normalization — advisors can access the same quality of information they had before the acquisition, sooner. The operational continuity that comes from unified data directly supports retention.

Earnout Tracking

Acquisition earnouts based on revenue, AUM, or client retention require reliable data from unified sources — not reconciled spreadsheets. Milemarker provides the authoritative data foundation that makes earnout calculations auditable and dispute-resistant for both parties.

Frequently Asked Questions

How is Milemarker different from what we'd build internally?

Milemarker provides pre-built connectors for 130+ advisory tech systems, a wealth-management-specific data model, and ongoing maintenance of data pipelines. Building internally means hiring data engineers, maintaining custom integrations, and managing Snowflake infrastructure. Milemarker handles that so your team focuses on using the data, not building the plumbing.

Can Milemarker handle our scale — 5,000+ client households and multiple offices?

Yes. Milemarker's architecture is built on Snowflake, which scales elastically. Adding offices, custodians, or client volume does not require re-architecture.

How does post-acquisition data integration work?

Milemarker connects to the acquired firm's systems — custodians, CRM, portfolio management — and normalizes that data into your existing warehouse. Both firms' data coexists in the same schema, enabling unified reporting while operational integration proceeds at its own pace.

What enterprise security controls does Milemarker provide?

SOC 2 Type II certification, encryption in transit and at rest, role-based access controls, audit logging, and your firm owns the Snowflake instance. Milemarker can provide security documentation for your compliance team's review.

Can our existing BI tools connect to the Milemarker warehouse?

Yes. Because your data lives in Snowflake, any BI tool that supports Snowflake connections — Tableau, Power BI, Looker, Sigma — can connect directly to your warehouse.

How does Milemarker handle advisor compensation data?

Milemarker can unify production, revenue, and billing data across systems. Compensation modeling — grids, tiers, overrides, earnouts — can be configured against that unified data. The specific compensation logic is configured to match your firm's structures.

Do you work with firms that have private equity sponsors?

Yes. PE-backed RIAs often have the most acute need for unified data — sponsors expect institutional reporting, rapid M&A integration, and clear KPI tracking. Milemarker provides the data layer that makes those deliverables possible.

What does implementation look like for a $5B+ firm?

Implementation is phased. Phase 1 typically connects your primary custodian(s) and CRM — operational within 2-4 weeks. Phase 2 adds secondary systems, historical data, and reporting configuration. Full deployment for an enterprise firm typically takes 6-12 weeks depending on the number of systems and complexity of the data environment.

Related guides

Part of the Data Infrastructure series:

• Data-Driven M&A Due Diligence for RIAs: Evaluate Acquisitions with Confidence

• Data Platform for RIA Aggregators & Consolidators

• Multi-Custodian Reporting for RIAs: Aggregating Data Across Schwab, Fidelity, and Pershing

• Advisor Productivity Analytics: Scorecards, Metrics & Benchmarking for RIAs

• Custodian Data Aggregation: Unified Reporting Across Schwab, Fidelity & Pershing

• Unified Data Model for Wealth Management: The Foundation for Analytics & AI