A franken-stack is what happens when an advisory firm assembles best-of-breed technology — each tool excellent on its own — without a plan for how they share data. The result is a Frankenstein's monster of disconnected platforms stitched together by manual exports, CSV files, and workflows that break every time a vendor updates their API. Each tool works. The stack doesn't.
The 7 Signs You're Running a Franken-Stack
Some of these will sting a little. That's the point. If three or more land, you have a franken-stack — and it's costing you more than you think.
Your "client 360" requires 6 browser tabs.
You have to open your CRM for contact details, your portfolio system for holdings, your custodian portal for cash balances, your planning tool for goals, your billing system for fees, and maybe a spreadsheet to tie it all together. If seeing the full picture of one client requires toggling between half a dozen applications, you have a franken-stack.
Your client data is different in every system.
The client's address is current in Salesforce but outdated in your portfolio system. Their phone number is right in the custodian portal but wrong in your planning tool. Nobody knows which system has the "correct" record because there's no master. When a client calls, your team wastes the first two minutes figuring out which data to trust.
Your quarterly reporting takes longer to compile than to analyze.
Your ops team spends the first week of every quarter exporting data from three systems, pasting it into Excel, reconciling the numbers, reformatting for clients, and double-checking that no accounts were missed. The actual analysis takes a day. The data assembly takes a week. If your team dreads quarter-end more than tax season, you have a franken-stack.
You have integrations, but they only sync names and emails.
Your CRM "integrates" with your portfolio system — meaning it syncs contact names. But it doesn't sync positions, performance, or plan status. Your portfolio system "integrates" with your custodian — meaning it pulls holdings. But it doesn't connect to your planning tool. You have integration checkboxes without actual data flow.
Your compliance team maintains their own shadow database.
When the official systems can't produce the reports compliance needs, the compliance team builds their own — usually in Excel, sometimes in Access, occasionally in a personal Salesforce view. If your compliance function operates on a parallel data infrastructure because the "real" systems don't talk to each other, that's a franken-stack with a compliance risk multiplier.
You've been "evaluating" a data solution for two years.
You know the problem exists. You've seen demos. You've built a business case. But the project keeps getting pushed because "it's too big" or "we're in the middle of X." The franken-stack survives on inertia — each quarter it costs more, but no single quarter is painful enough to force action.
Your AI initiative is stuck at "we need to clean our data first."
Your firm wants AI. Your vendor is offering AI features. But when you try to use them, the data isn't there — or it's wrong, incomplete, or siloed in one platform. You keep hearing "garbage in, garbage out" from your operations team. The AI features sit unused because the franken-stack can't feed them clean, unified data.
How Franken-Stacks Form
Nobody sets out to build one. Every individual technology decision was rational. The problem is compound, not sudden.
Three Ways to Fix It
Not all fixes are created equal. Here's an honest look at your options.
| Approach | What It Means | Time to Value | Disruption | Data Unification |
|---|---|---|---|---|
| Rip and replace | Move everything to one vendor's platform | 12–24 months | Maximum — every workflow changes | Eliminates silos within that vendor's ecosystem; creates vendor lock-in |
| Band-aid integrations | Add more point-to-point connectors between tools | Quick | Low disruption initially | Does not solve the underlying data model problem. Breaks at scale. |
| Data layer | Keep every tool; unify data in a central warehouse | 4–8 weeks | Zero — existing workflows untouched | Full cross-system unification without replacing a single tool |
The data layer approach is the only one that solves the actual problem — disconnected data — without the trauma of a full replacement. You keep what works. You connect what doesn't talk. You get the unified view your firm actually needs.
What Changes When You Fix It
Where Milemarker Fits
Milemarker is the data layer built specifically for advisory firms. We're not another tool to add to the franken-stack — we're the layer that connects the stack you already have.
Milemarker connects 130+ systems — CRM, portfolio, custodian, planning, compliance, billing — into one Snowflake warehouse your firm owns. Your tools keep working. The franken-stack becomes a connected stack.
- 130+ pre-built integrations. Salesforce, Redtail, Wealthbox, Orion, Tamarac, Black Diamond, Schwab, Fidelity, Pershing, eMoney, MoneyGuidePro, RightCapital, and more — all connecting into one normalized data model.
- Your firm owns the data. The warehouse lives in your Snowflake instance, not in a vendor's infrastructure. Your data is yours — portable, queryable, and independent of any single platform.
- Go-live in weeks, not months. No rip-and-replace. No workflow disruption. Your team keeps using the tools they know. Milemarker works in the background, connecting them all.
- AI-ready from day one. Because all of your data is unified in one place with a consistent schema, your AI initiatives have the clean foundation they need — no more "we need to clean our data first."