Data Infrastructure

One data model across every system your firm uses.

Schwab says "account id." Fidelity says "account number." Salesforce says something else entirely. Milemarker's unified data model resolves every conflict into one consistent schema.

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130+ sources normalized · 1 unified schema · SOC 2 Type II

The Core Problem

The same data, with seventeen different names.

Every system in your tech stack uses slightly different terminology. What Schwab calls an "account," Fidelity calls a "registration." What your CRM calls a "household," your billing system calls a "group." When you try to join these data sets, the joins fail — or worse, succeed incorrectly.

The result is reports that don't reconcile, AI tools that can't answer questions, and analysts who spend their mornings manually translating between systems. Milemarker's unified data model is the translation layer. We maintain canonical definitions for every concept in wealth management — accounts, households, advisors, positions, transactions, performance, fees — and map every source system's terminology to those definitions.

How It Works

From fragmented sources to one clean schema

1

Define canonical entities

Milemarker maintains canonical definitions: what an "account" is, what a "household" means, what "performance" includes. Consistent across all your source systems.

2

Map source systems to the model

Each source system's fields, types, and hierarchies are mapped to the canonical model. When Schwab uses one account ID format and Fidelity uses another, they both resolve to the same record.

3

One consistent layer for all consumers

Reports, dashboards, AI tools, and APIs all query from the same unified model. No more translating between systems.

What Gets Standardized

Every core entity. One definition.

Every concept your firm cares about — normalized, canonical, consistent.

Canonical household definition

Every member of a family, across every account, at every custodian, rolls up to one household in Milemarker. Not three households with slightly different names.

Consistent performance methodology

Time periods, return calculations, and benchmark assignments are standardized. Performance means the same thing everywhere it appears.

Advisor hierarchy that makes sense

Team, branch, region, firm — advisor hierarchy is modeled correctly and consistently. Reports roll up the way your firm is actually organized.

Account classification across custodians

IRA, Roth, trust, 529, individual — account types normalized to a consistent taxonomy regardless of how each custodian classifies them.

Transaction semantics

Buy, sell, dividend, transfer, fee — every transaction type normalized to a consistent set of classifications across all source systems.

Consistent fee linkage

Fee schedules link to households. Billing transactions link to fee schedules. The chain is complete and consistent — no manual reconciliation.

130+
Source Systems Normalized
1
Unified Data Model
$200B+
AUA on Platform
Who It's For

Built for the teams who need data to agree

Analytics Engineer

"We had 12 different definitions of 'household' across our systems. Milemarker gave us one. Our analysts stopped arguing about which number was right."

COO

"Our reports didn't reconcile because every system had slightly different data. Milemarker's unified model fixed that — all our reports now agree."

Common Questions

What firms ask before they standardize

Who maintains the data model?
Milemarker maintains the canonical model and all the source-to-model mappings. When a source system changes, we update the mapping.
Can we customize the data model for our firm?
Yes. The core model is standard, but we can add custom fields, custom hierarchies, and firm-specific definitions on top.
How is this different from just using a portfolio accounting system?
Portfolio accounting systems model the data they manage. Milemarker's unified model spans every system your firm uses — not just portfolio accounting.
Does the data model handle complex household structures?
Yes — joint accounts, trust beneficiaries, multi-generational relationships, corporate accounts — the model handles the complexity most firms encounter in practice.
Related Resources
Data Infrastructure Wealth Management Data Warehouse Data Infrastructure ETL for Wealth Management Multi-Custodian Multi-Custodian Data Management RIA Platform RIA Data Management

Stop translating between systems. Get one data model.

When every system in your firm uses the same canonical definitions, your reports agree, your AI works, and your analysts build instead of reconcile.

130+ sources normalized · SOC 2 Type II · $200B+ AUA