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Data Cleaning

Overview

Removing errors, duplicates, and inconsistencies from your datasets before they cause problems downstream.

What We Check

  • Duplicate records identified and resolved
  • Inconsistent formatting standardised
  • Missing or invalid entries flagged
  • Cleaned data validated against source

Process

We start by understanding your current records and requirement, agree a clear timeline, then work through: collect data, process and reconcile, review internally, then report and deliver — with a named contact at every step, not a rotating inbox.

Turnaround Time

Discussed and agreed before work begins

Category

Data Management

Due Date / Frequency

As needed, typically before major reporting cycles

Benefits

  • Reliable reporting and analysis
  • Fewer downstream errors
  • Data you can actually trust

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