What We Guarantee
The hardest part of any data project isn’t the technology. It’s trust. You’ve been burned before: Three years into a data initiative that promised transformation, you’re left with expensive dashboards nobody uses and “insights” that don’t move the needle.
So when we show up talking about Palantir Foundry and operational transformation, your skepticism isn’t just reasonable. It’s required. This is exactly why we created the 6-Week Challenge.
Why Trust Matters When You’re Betting Big
You can’t half-ass data transformation.
Traditional tech initiatives start small. You dip your toe in the water with minimal investment, then gradually scale up. It’s comfortable. It’s safe.
It’s also why most companies never achieve transformation. They’re building for incremental change.
Real data transformation starts big. You’re connecting systems that were never meant to talk to each other. You’re restructuring how decisions get made. You’re asking people to work differently. And yes, it requires substantial investment in both software and services from day one.
So, how do you bridge that trust gap?
You don’t do it with PowerPoints. You do it by putting skin in the game.
The 6-Week Challenge: Our Money Where Our Mouth Is
The 6-Week Challenge is simple: in six weeks, we’ll build something on Palantir Foundry that can be used in production, with a clear line of sight to value that exceeds our fees.
If at the end of six weeks, you don’t have that, we failed. Either we didn’t do our job, or the problem we tackled wasn’t acute enough to justify the effort.
This isn’t about building cool tech for tech’s sake. This is about moving the needle on metrics that matter — either top-line revenue or bottom-line savings.
The Jurassic Park Problem
Most data projects suffer from what we call the Jurassic Park Problem: companies get so caught up in whether they could do something, they never ask whether they should.
IT departments build impressive data lakes and pipelines without a clear line of sight to revenue impact. Data scientists develop algorithms that answer questions nobody’s asking. Executives sign off on initiatives without demanding clear ROI.
The 6-Week Challenge forces the right conversation up front: what problem are we solving, and is it valuable enough to justify the effort?
If you have a million-dollar problem, and the best we could ever do is improve it by 50%, you’ve capped your ROI at $500,000 annually. That might not justify the investment in time, focus, and resources.
We’re looking for ever-present problems with enough volume to justify bringing out the big guns. Problems whose solutions create ongoing value year after year.
The Four-Step Process: A Roadmap Through Chaos
Our methodology isn’t revolutionary. It’s what you learned in fourth grade when solving word problems. But somewhere between elementary school and executive leadership, we forgot these fundamentals.
The process has four stages:
1. Ingest
We connect to raw data sources necessary to solve the problem. This isn’t about ingesting everything. It’s about identifying and capturing the specific data that matters to your outcome.
Like a word problem in math class, there’s relevant and irrelevant information. We don’t waste calories on data that won’t impact the question at hand.
2. Pipeline
We create connections between data sets that allow you to see the landscape of how your operations work. This is the munging of data back and forth and joining it together.
It’s normalizing time zones and units of measurement. It’s aligning date formats and decimal places. It’s the same data prep you’d do in Excel, just at enterprise scale.
3. Insight
With raw materials in place and relationships established, we can answer the question: Do we have enough information to solve the problem? This is why starting with the end in mind matters.
Without a clear destination, you’re just a rudderless ship with lots of data.
You might answer five questions, but to what end? The insight has to connect directly to implementation. If you want schedulers to reset their day in 20 minutes instead of three hours, what information do they need? If you need to score 100,000 customers on retention offers, what attributes matter?
4. Implementation
Information without action is just trivia. Implementation is putting insights into formats that drive behavior change — either human or machine.
Sometimes implementation means populating a maintenance ticket differently or routing a driver’s day in a more efficient sequence. Other times, it means creating machine-to-machine connections that automate decisions at scale.
Critical point: the scale of your implementation needs to match the scale of your insight. If you want to make 100,000 decisions daily, you need systems that can action 100,000 decisions daily.
These Aren’t Linear Steps — They’re a Continuum
These four stages aren’t strictly linear. They overlap.
Ingesting influences pipelining. Insight creation might send you back to ingest more data. Implementation might reveal gaps in your pipeline.
It’s two steps forward, one step back. The process is a map, not a straightjacket. It gives you orientation: What activity am I doing, and why am I doing it?
The Guarantee: Why Six Weeks?
Six weeks is long enough to prove value but short enough to limit your risk. Here’s what we guarantee:
- What we deliver on Palantir will be production-ready if you deem it good enough
- You’ll have a clear line of sight to implementation — not just theory, but concrete understanding of how this will move the needle
- You’ll see value that exceeds our fees
This doesn’t just solve a one-time problem. It proves a methodology that delivers ongoing value.
The Hard Truth About Data Transformation
Data transformation requires conviction. You’re not just investing in our time and expertise. You’re investing in your team’s attention and willingness to change.
We can solve platform problems. We can solve process problems. But we can’t solve people problems. Your team has to be willing to act on the insights we deliver together.
That’s why picking the right problem matters. It has to be valuable enough to justify not just the financial investment, but the organizational commitment to change.
Ready for the Challenge?
Data’s not your edge. Knowing what to do with it is.
The 6-Week Challenge is our way of proving we can help you know what to do with yours. No vague promises. No three-year roadmaps with nebulous returns. Just six weeks to demonstrate that data can drive decisions that actually matter to your business.
Let’s cut through the chaos together.