The mess doesn't start in your system.
It starts in the spreadsheet.

Most teams do not realize they have a data problem until something breaks. By the time data reaches your CRM or ERP, it is already duplicated, inconsistent, and impossible to trust. That is why reports stop matching, automation breaks, and systems start feeling broken.

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The Problem

It starts as a spreadsheet. It ends as a data crisis.

Duplicate records, broken integrations, and spreadsheet chaos silently drain your team's time and tank the ROI on every system you invest in.

Duplicate & Conflicting Records

The same contact lives in your CRM three times with three different spellings. Reports can't be trusted because the source data is a mess.

Spreadsheet Dependency

Vendor pricing, purchase history, customer records. It all lives in Excel files that only one person fully understands. Every decision starts with "let me pull the numbers" and an hour of copy-pasting between files nobody fully trusts.

Manual Processes Everywhere

Your team re-enters the same data across three systems. Automations either don't exist or broke six months ago and nobody noticed.

Invoices, PDFs, and Paper That Never Made It In

Vendor quotes come in as PDFs. Purchase history lives in someone's inbox. Paper invoices get manually keyed in. Sometimes they don't. By the time that data reaches your CRM or ERP, it's incomplete, inconsistent, or just wrong.

Who This Is For

Who this is for right now

Most teams do not realize they have a data problem until something breaks.

Marketing / CRM Teams

Cleaning up your CRM before scaling marketing or hiring RevOps

Your lead data does not start in your CRM. It comes from trade shows, CSV uploads, scraped lists, and tools that do not sync cleanly.

By the time it hits your CRM, it is already duplicated, misattributed, and inconsistent — and every campaign makes it worse.

Now reporting does not match, attribution breaks, and your team starts questioning the numbers.

  • ✓ Remove duplicate contacts before they break attribution
  • ✓ Standardize lifecycle stages and properties across sources
  • ✓ Fix reporting so marketing performance actually makes sense
  • ✓ Clean up pipeline data before RevOps or automation layers get added
  • ✓ Turn scattered lead data into something you can actually trust

Manufacturing / Operations

Preparing your data before an ERP/MRP rollout or operational scale-up

Your system of record is not actually your system of record.

Quotes live in PDFs. Purchase orders sit in Excel. Receiving logs are on paper. What makes it into your ERP is partial, manual, and full of gaps.

Then you try to scale — and everything starts breaking: job costing is off, inventory does not match, and reporting cannot be trusted.

  • ✓ Extract and standardize data from PDFs, spreadsheets, and paper records
  • ✓ Clean up part numbers, BOMs, and inventory before ERP ingestion
  • ✓ Fix inconsistencies that lead to bad costing and reporting
  • ✓ Prepare historical data so migrations do not carry forward bad records
  • ✓ Turn fragmented inputs into a clean, usable system of record
What We Do

Fix the data before the next system breaks too

We clean, structure, and prepare the records behind your CRM, ERP, and reporting before migration, automation, or scale makes the mess more expensive.

01

Fix duplicate and conflicting records

We remove duplicates, normalize fields, and standardize naming so contacts, customers, parts, and vendors stop colliding across systems.

02

Get reports back to something you can trust

We repair the underlying data and reporting logic so your team can stop arguing with the numbers and start using them.

03

Prepare for CRM, ERP, or automation changes

We clean messy source data before migration and automation projects so bad records do not get carried forward into the next system.

04

Keep the mess from coming back

We stay involved after cleanup to catch drift, fix new issues, and keep your systems usable as new records, workflows, and people get added.

How It Works

From chaos to clarity in four steps

No bloated SOWs. No six-month timelines. We move fast and show results early.

1

Free Data Health Assessment

We audit your current systems, data quality, and processes to find where the biggest problems -and quickest wins -are hiding.

2

Prioritized Action Plan

You get a clear, plain-English roadmap ranked by impact. No jargon, no fluff -just what to fix first and why it matters.

3

Hands-On Execution

We roll up our sleeves and do the work. Cleanup, integrations, dashboards -built and tested in your actual systems.

4

Handoff & Ongoing Data Hygiene

Your team gets trained, documentation is delivered, and we stick around on retainer if you want to keep things tight.

FAQ

Common questions

We use them too. AI tools are great at analyzing data once it's clean and structured. The problem is getting it there. Extracting records from PDF invoices, standardizing vendor names across thousands of purchase orders, deduplicating a CRM that's been growing for five years: that requires access to your actual systems, judgment about how your data should be structured, and someone accountable for getting it right. AI speeds up the work. It doesn't replace the judgment, the expertise, or the accountability that comes with someone actually owning the outcome.
It depends on the scope, but most Data Cleanup & Deduplications wrap up in 4–8 weeks. We start showing results within the first two weeks so you're not waiting around wondering if anything's happening.
Nope. We work with whatever you already have — Salesforce, HubSpot, QuickBooks, Excel, ERP systems, or something less common. The goal is to make your current tools work better, not to sell you new ones.
Yes, it's genuinely free with no strings attached. We'll look at your current systems, identify the biggest data quality issues, and give you a prioritized list of recommendations. You walk away with actionable insights whether you hire us or not.
Before you sign the contract. Seriously. Cleaning and standardizing your data before an implementation can cut timelines by 30–50% and dramatically reduce the risk of a failed rollout. We're the pre-implementation cleanup crew.
We're specialists, not generalists. We focus exclusively on data quality, reporting, and process automation for mid-market companies. We don't build apps, manage networks, or do IT support. We just make sure your data and business systems actually work.
Think of it as a monthly data and systems health check. We monitor data quality, fix issues before they compound, tune automations, and handle ad hoc requests. Most clients start with a cleanup engagement and then move to a retainer because they don't want to go back to the old way.

Before you invest in a new CRM or ERP, make sure your data will not break it.

Book a Data Health Assessment and see where duplicate records, broken reporting, and manual cleanup are quietly costing you.

Book a Data Health Assessment