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02
Normalize, Validate & Protect

DataCleanup

That Work

A dashboard built on messy data only makes confusion look polished. We audit your spreadsheets and exports, normalize fields, remove duplicates, define ownership, and add the basic controls needed so your team can trust the numbers.

14+
Tabs Commonly Consolidated
0
Mystery Owners
1
Clean Data Model
What's Included

Corecapabilities

Every data cleanup engagement starts with the same practical question: what manual work should disappear, and what numbers should become easier to trust?

01

Spreadsheet Audit

Find duplicate fields, stale formulas, hidden assumptions, and manual steps that make reports unreliable.

02

Field Normalization

Standardize names, statuses, dates, IDs, and categories so downstream reports agree.

03

Basic Controls

Set roles, permissions, edit rules, and audit trails around important operational data.

04

Migration Prep

Prepare existing files for a clean move into a database, dashboard, or automated workflow.

Our Process

How webuild the system

14+
Tabs Commonly Consolidated
0
Mystery Owners
1
Clean Data Model
01

Audit

We inspect the current spreadsheets, reports, exports, and handoffs to find where time and trust are leaking.

02

Map

We define the source data, workflow states, access rules, and dashboard views before building.

03

Build & Review

We ship working slices every week so the team can react before the process hardens.

04

Roll Out

We migrate the data, verify the numbers, document the workflow, and improve the system after launch.

Available for ops cleanups

Readytofix
theworkflow?

Send the spreadsheet, report, or process that is slowing the team down. We'll tell you what should be automated, centralized, or left alone.

Free consultation
24h response time
No commitment