Three Peaks Digital Solutions info@threepeaksdigital.com

The reports you need are hiding in the data you already have.

Your accounting system accepts everything your team types. Abbreviations, shorthand, legacy names, whatever made sense in the moment. Over time, the same vendor, job, or project accumulates a dozen recorded forms. Any report grouped by name splits the picture into fragments, none of them complete. We fix that, systematically, for good.

Start the conversation

Your data looks fine. Your reports are wrong.

In our proof-of-concept data, a single project appeared under four different names. The system accepted all of them. The books balanced. No error appeared. That project's true quarterly cost was undercounted by $276,000. Quietly, invisibly wrong.

This is how every system that accepts free-text input works. The same vendor, job, or property accumulates a dozen recorded forms. Reports fragment. Someone patches it manually each cycle, making the same decisions over and over. And the knowledge of what the shorthand means lives in one person's head until it doesn't.

115
name variants found for 20 actual records in a single export, before normalization.

This pattern appears in every industry where names enter the system through human hands.

The hard work happens once..

We build a layer of trusted reference data on top of whatever system you already run. Every name gets resolved to one correct value. Decisions made in the first pass are saved and applied automatically from then on. The review workload shrinks each cycle until only genuinely new entries surface.

Export
from your system
Review
new & unmatched names
Map
to canonical values
Report
with confidence
See a real example — explore governed data live

Workload compounds in your favor.

After the initial cleanup, the exception surface shrinks dramatically with each run — regardless of industry or data type. Anything already resolved stays resolved. By the third cycle, ongoing review often takes minutes, not days — with a clear signal when something genuinely new appears in your data.

Reviewer decisions required — six quarters
Real data: subdivision 69,6,5,0,10,5 — cost_code 20,0,0,0,0,0 — vendor 65,10,11,3,17,4.
Most of the work happens once. The system learns, and the reviewer's surface shrinks to almost nothing — until genuine business change introduces something new.
Example: Subdivision name mapping
Raw name from export
Canonical value
Aspen Lakes Ph 1
Aspen Lakes Phase 1
Aspen Lks Phase One
Aspen Lakes – Phase I
Aspen Lakes Ph. 1
ASPEN LAKES PHASE 1
Aspen Lakes Phase 1
One true value. One row in your reports. Every time.
Explore six quarters of real workload data

A simple first conversation.

01

We talk about the reports you wish you could trust.

02

You share a recent export. No prep needed.

03

We identify the biggest sources of noise and what cleanup would uncover.

No pressure. No jargon. Just clarity on what's possible with the data you already have.

Selective intake — first engagements forming now

We're thoughtful about who we take on first.

Three Peaks Digital Solutions is currently preparing its first client engagements. We're being intentional about where we start — the right first clients shape what this practice becomes.

If you're dealing with messy operational data and want to be considered for an early engagement, we'd like to hear from you. Send a brief note to info@threepeaksdigital.com and we'll be in touch when the time is right.

No commitment required. Just a conversation.