How We Approach Data-Driven Decision Making
Walk onto any construction site in America and you’ll find everyone using the same measuring system. Whether it’s feet and inches or centimeters and meters, everyone’s on the same page.
That standardization isn’t a luxury. It’s the foundation of sound construction. Without it, the resulting structure wouldn’t have a snowball’s chance in you-know-where.
Now, walk into most businesses today. One department tracks KPIs in Salesforce. Another builds forecasts in Excel. A third tracks inventory in NetSuite. You’ve got data everywhere, but no common system of measurement. This cripples your ability to make decisions.
Your business needs a construction site’s consistency.
Without it, your data is just numbers floating in space.
Ontology: The Backbone Your Data Needs
Palantir’s Ontology gives you that consistency. It maps out how every piece of your business data connects. It isn’t another API layer or data pipeline — this approach rewires how your organization handles information.
Ontology becomes your business standard. Every system, every application, every piece of data has to speak this language before it does you any good.
Add a new factory to your operation? You don’t rebuild relationships from scratch. Your Ontology already gets that factories have people, people work shifts, and shifts make products. These connections live at the memory level — not buried in some database you have to query every time.
That’s what separates systems that scale from ones that collapse under their own weight.
Stop Playing With ChatGPT and Start Making Real Money
Right now, most businesses are using ChatGPT for what are essentially glorified Google searches. In terms of AI implementation, that’s a good start, but it doesn’t change how your business actually runs.
The game changes when your Ontology actually mirrors your business. When your digital model reflects what happens on your shop floor or in your supply chain, you stop having to translate. The model does the talking.
This creates three clear stages as you evolve:
- Research — Using AI to gather information from disparate sources
- Self-Enablement — Getting your own operations into a common language
- External Connection — Exposing your standardized systems to upstream and downstream partners
Most companies never get past stage one. Some make it to stage two. Almost none reach stage three, which is where the real value explosion happens.
Optimization within your own operations barely scratches the surface. True hyperscale happens when you optimize with your suppliers and customers in real-time. That’s the future of business operations.
You Can’t Outsource Giving a Damn
Our approach starts with that simple truth. When you reach out to us, you’re doing it because you’ve seen what Palantir can do for others. You want those same outcomes for your business.
The challenge is figuring out where to start. You have to relearn how to build solutions in this new paradigm.
Here’s what we bring to the table:
Customer Empathy — We take on your challenges like they’re our own, wrestle them into submission, and don’t stop until the job is done.
Solutions Over Technology — You don’t want a feature dump. You want someone who can change your
reality quickly.
Technology is just the vehicle, not the destination.
Tactical Expertise — We master our craft and deliver results, solving the toughest problems the right way, every damn time.
Our goal? Mitigate all numerical risk from your decisions. We can’t replace your operational judgment — nor would we want to. But we can ensure you’re making decisions based on actual data, not guesswork.
Eat the Elephant One Bite at a Time
How do we tackle your mountains of disconnected data? One bite at a time — but first, we acknowledge there’s an elephant in the room.
Most tech projects generate busy work with no payoff. Work equals force times time. You can burn years of effort and deliver nothing if you’re chasing the wrong problem.
We care about outcomes, not activity. Before we start, we ask:
- Is this problem financially measurable?
- Can you break it down to a level where you have agency to influence the outcome?
- Is there an operational action you can actually take based on better information?
If the answer to any of these is “no,” we’re solving the wrong problem.
We go slow to go fast. Rather than build a massive data lake no one will use, we start with immediately actionable implementations. Get a win. Learn. Expand. Repeat.
Here’s a reality check: you need at least two different use cases running in Palantir to make it financially worthwhile. Anyone can solve a point problem. The real value comes when you build interconnected solutions that leverage your growing ontology.
We once spoke with a CPG food manufacturer focused on automating a manual process. Three people in the Philippines were handling the work for $7 an hour. Even if we made the process three times more efficient, it would take four years to break even.
Then we discovered they were throwing away 17% of their product before it ever reached stores. For a $70 million business, that’s a problem worth solving. Suddenly, we weren’t talking about replacing cheap labor but recovering millions in lost revenue. That’s the difference between activity and outcomes.
We’ll Work With Your Weird Systems
We build around Palantir, but our expertise doesn’t stop there.
For an energy customer, we recognized that Palantir didn’t fit the department’s culture for a simple scorecard. We helped them build it directly in Snowflake instead.
For another client, rather than bringing in a Salesforce specialist, we handled the integration ourselves. The data model was simple, and we already understood it.
We’ve worked in and around virtually every major platform: Snowflake, Databricks, ServiceNow, Salesforce, NetSuite, SAP. We’ve rescued countless businesses from Excel hell.
With full-stack engineering skills, all these platforms are just different flavors from the same Skittles bag. Need us to hook into your weird marina management system? We’ll write the API. No big deal.
Does that mean we’ll take non-Palantir projects? Not typically. But it does mean we reduce friction between Palantir and your existing ecosystem. We’re solution-first, not platform-first.
Not Too Small, Just Right
Most mid-market companies have never been targeted by Accenture or similar firms. Those big companies want to mine revenue, not create outcomes.
Recently, a prospect asked if they were too small for us. We replied, “Do you have problems you want to solve? Then you’re not too small.”
The whole point of Palantir is that you don’t need to buy 17 different technologies to solve your problem. Get one core platform, put it in the middle, and let it handle translation between all the systems you already have.
Our size gives us flexibility. Our expertise gives you confidence. Our approach gives you clarity.
That’s the RANGR difference: better decisions, bigger outcomes.