We’re Not Where We Thought We’d Be At This Point In Time
Your Build Is Taking Too Long.
With Gestalt, Your Investment Isn't Lost.
You’ve spent months (maybe years) and real money trying to build your data foundation. It’s stalled, it’s over budget, or your key people left. Here’s how to rescue the investment and get to value and a ROI.
We’ve Seen This Before
You're Not Alone, And This Isn't Your Fault
Let’s be honest about what’s happening:
“We’re 12 months in and nowhere near where we expected to be.”
“Our lead data engineer left and took all the institutional knowledge with them.”
“The scope keeps expanding. Every time we solve one problem, two more appear.”
“Leadership is asking hard questions about when we’ll see ROI.”
“We’ve invested too much to quit, but we’re not sure how to move forward.”
This is the reality for 88% of internal data warehouse projects.
You didn’t fail at building, you discovered why even sophisticated organizations struggle with this. The challenge isn’t your team’s capability. It’s that a building financial services data foundation from scratch is genuinely, brutally hard.
The Investment Cost Trap
"But We've Already Invested So Much..."
We hear this constantly. And we understand, walking away from 12+ months of work feels like admitting defeat. But consider this:
The money you’ve spent is gone regardless of what you do next. The only question is: do you want to spend another 12-24 months (and another $500K-$1M) trying to finish with no guarantee of success? Or do you want to be live in a quarter of the time?
The real cost isn’t what you’ve already spent. It’s what you’ll continue to spend in dollars, in time, in opportunity cost, in team morale, trying to finish something that may never get there.
Stopping a stalled project isn’t giving up. It’s wisdom.
Your Work Wasn't Wasted. Here's What We Preserve.
When you transition to Gestalt, you don’t throw everything away. We build on what you’ve learned:
Your Requirements Documentation
All that work defining what you actually need? That becomes our implementation roadmap. You’ve already done the hard thinking about your business requirements.
Your Data Mapping
If you’ve documented your source systems, data flows, and business logic, we use that. It accelerates our configuration significantly.
Your Custom Logic
Built some reports or calculations that work? We can incorporate your business logic into the Gestalt Foundation™.
Your Historical Data
If you’ve been collecting and cleaning data, we migrate it. No starting from zero.
Your Team’s Knowledge
Your people understand your business better than anyone. That institutional knowledge becomes invaluable during implementation; they just won’t be stuck maintaining infrastructure anymore.
From Stalled to Live in Days
Here’s how the rescue works:
Week 1-2
Assessment
We audit what you’ve built. What’s salvageable? What requirements have you documented? What did you learn about your data?
Week 3-4
Foundation Deployment
We deploy the Gestalt Data Foundation, the proven infrastructure that took us years to build. Your integrations, and data models: ready.
Week 5-8
Configuration & Migration
We configure the foundation for your specific needs, migrate your historical data, and incorporate any custom logic worth preserving.
Week 9-12
Testing & Go-Live
Validation, training, and launch. You’re live with enterprise-grade data analytics and reporting.
Week 13+
Your Team Builds Forward
Now your engineers can focus on the ML models, custom analytics, and competitive advantages they wanted to build in the first place, on top of a stable, proven foundation.
Why Transitioning to Gestalt Makes Sense Now
Stop the Bleeding
Every month you continue on your current path costs money, time, and team morale. Transitioning now stops the ongoing drain.
Guaranteed Outcome
We’ve done this hundreds of times. With your data, 90-day go-live isn’t a hope, it’s a commitment. You will have a working foundation.
Rescue Your Team
Your engineers are probably demoralized from a stalled project. Give them a win. With our foundation, they can answer questions and build models that really drive the business and make them heroes.
Tell a Better Story
“We recognized the project wasn’t working and pivoted to a proven solution” is a much better narrative than “We spent two years and $2M and we haven’t’ solved the business issues yet.”
This is the reality for 88% of internal data warehouse projects.
You didn’t fail at building, you discovered why even sophisticated organizations struggle with this. The challenge isn’t your team’s capability. It’s that building financial services data foundation from scratch is genuinely, brutally hard.
What You're Probably Worried About
How do I explain this to leadership?
Frame it as smart decision-making, not failure: “We learned enough to know that continuing to build would cost more than partnering with specialists. We’re pivoting to a proven solution that will have us live in a quarter of the time, once they have our data.” Leaders respect course correction more than stubbornly pursuing failing projects.
What about the team that’s been working on this?
They’re probably relieved. Ask them honestly, most engineers don’t want to spend their careers maintaining data pipelines. They want to build things that matter. Give them the foundation to build on, and watch them thrive.
Doesn’t this make us dependent on a vendor?
You’re less dependent than you are right now, where you’re dependent on specific employees who could leave at any time.
Proof it Works
I originally wanted Gestalt to look at my tables, but then I saw their universal data model. I knew then that I wouldn’t need those tables after all.
By using Gestalt shared services, we can actually be pretty efficient in our capital spent, our cash spend on IT resources.
Having that infrastructure built out already, was just like almost kind of like hitting the easy button.