Data Cleaning & Data Quality

Bad data costs businesses more than they realise. Missed opportunities, inaccurate reporting, failed migrations and poor automation are almost always a data quality problem in disguise. We clean, standardise and structure your CRM and ERP data so your systems, your reporting and your teams can perform.

The Hidden Cost of Poor Data Quality

Most businesses know their data is not perfect. Few understand the full extent of the damage it is doing. Duplicate records inflate your contact counts and distort your reporting. Incomplete data breaks your automations and undermines your forecasts. Inconsistently formatted fields make segmentation unreliable and migration projects exponentially more complex. We work with businesses that have reached the point where data quality is actively holding them back. Whether you need a one-off clean ahead of a migration, a full audit and remediation of your CRM or ERP, or an ongoing quality management process that keeps your data in good shape, we have the methodology and the tooling to deliver it.

CRM Data Cleaning That Restores Confidence in Your System

A CRM is only as useful as the data inside it. Duplicate contacts, missing fields, inconsistent naming conventions and outdated records all erode trust in the system and reduce the effectiveness of every process that depends on it. We audit your CRM data, identify and resolve quality issues at scale and implement the standards and validation rules that prevent the same problems from returning.

CRM Data Cleaning That Restores Confidence in Your System

ERP Data Quality That Keeps Operations Running Accurately

In an ERP, data quality issues have direct operational consequences. Incorrect product records, mismatched supplier data and inconsistent account structures affect purchasing, fulfilment, financial reporting and compliance. We clean and standardise ERP data with a structured approach that accounts for the relationships between records, so fixes in one area do not create problems in another.

ERP Data Quality That Keeps Operations Running Accurately

Migration Preparation That Removes the Risk of a Bad Start

Data migration is where quality issues become impossible to ignore. Moving dirty data into a new system does not clean it, it embeds the problems in a platform you have just invested in. We prepare your data for migration by auditing source records, resolving quality issues, mapping fields to the target system and validating everything before a single record is moved. Going live with clean data is not a nice to have. It is the difference between a successful implementation and an expensive remediation project.

Migration Preparation That Removes the Risk of a Bad Start

Ongoing Data Quality Management for Businesses That Want to Stay Clean

A one-off clean solves today's problem. Ongoing quality management prevents tomorrow's. We work with businesses to implement the processes, validation rules and monitoring routines that keep data quality high as the business grows, new records are created and systems evolve. Whether you need a quarterly audit, automated hygiene workflows or a defined data governance framework, we provide the structure to maintain what we build.

Ongoing Data Quality Management for Businesses That Want to Stay Clean

How We Deliver Data Cleaning Projects

Every data cleaning engagement follows a structured process that keeps delivery on track and outcomes measurable from day one.

01

Discovery

We audit your data across the relevant systems, profile the quality issues present and quantify the scope of work required before any remediation begins.

Discovery
02

Solution Design

We produce a remediation plan that covers the cleaning rules, deduplication logic, field standardisation approach and validation framework, reviewed and agreed with you before any changes are made to your data.

Solution Design
03

Build and Configuration

We execute the cleaning process to the agreed plan, working systematically through your data to resolve quality issues without disrupting the records and relationships your business depends on

Build and Configuration
04

Testing and QA

Every remediation step is validated before we move to the next. We cross-check cleaned records against source data and do not sign off until the output meets the quality standard agreed at the start.

Testing and QA
05

Training and Handover

We document the standards, validation rules and processes put in place and train your team on how to maintain data quality going forward so the work we do does not deteriorate after handover.

Training and Handover
06

Ongoing Optimisation

As your business grows and your systems evolve, we are available to extend your data quality processes, run periodic audits and adapt your governance framework to match.

Ongoing Optimisation

Ready to Trust Your Data Again?

Whether you need a targeted clean, a full audit and remediation or an ongoing quality management process, we will help you get your data to a standard your business can rely on. Get in touch to discuss your project.