Data Quality

A Clean Data Foundation for Your Whole Team

We consolidate scattered customer data into one clean foundation, deduplicated and reliable for everyone. Independent of the system you run.

Does this sound familiar?

A list per department

Every department keeps its own list.

No single source of truth

No one knows which version is right.

Duplicates and stale contacts

Duplicates and stale contacts cost time and trust.

Reporting by hand

Reporting is manual because the underlying data does not hold.

Three spreadsheets, three truths. Sales calls a number that has been dead for months. Marketing emails a contact who became a customer long ago. When your data is scattered and contradictory, everyone works against a different reality, and every report stands on sand.

The turning point

We consolidate your customer data into one clean foundation, deduplicated and visible to all. Many versions become one truth that sales, marketing and service can rely on equally.

How we deliver

1

Consulting

Defines up front which data you actually need.

2

Implementation

Handles data migration, cleanup and deduplication into the right system.

3

Sales Operations

Keeps data quality reliable with clear rules and ownership.

Results

2.1 %

of accuracy is lost each month by B2B contact data, more than 22 per cent a year.

Marketing Sherpa

30 %

of CRM data becomes outdated within twelve months.

Gartner

15 to 25 %

of annual revenue is what poor data quality costs companies.

2026 research

One shared data foundation across departments, reliable reporting, no more guessing which version is right.

Common objections

That is exactly what the structured cleanup step is for. Mess is the norm, not the obstacle.

Without rules, any cleanup falls apart again. We set up maintenance so the data stays clean.

How do you improve CRM data quality?

A clean CRM data foundation comes from three steps: migrate scattered data, clean and deduplicate it, and secure ongoing maintenance with clear rules. Only then do sales, marketing and service work from the same reliable record. Plan Digital Now handles migration and cleanup vendor-neutrally and sets up the ongoing data hygiene.

Frequently asked questions

In a data migration, data from spreadsheets, inboxes and legacy systems is moved into the new CRM in a structured way. The key step is the cleanup: removing duplicates, dropping stale records and standardising fields, so no old ballast comes along.

Messy data is the norm, not an obstacle. A structured cleanup step before migration brings scattered and contradictory data into shape. What matters is that maintenance rules apply afterwards, so the foundation stays clean for good.

Ready for the next step?