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.
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.
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
Consulting
Defines up front which data you actually need.
Implementation
Handles data migration, cleanup and deduplication into the right system.
Sales Operations
Keeps data quality reliable with clear rules and ownership.
Results
of accuracy is lost each month by B2B contact data, more than 22 per cent a year.
Marketing Sherpa
of CRM data becomes outdated within twelve months.
Gartner
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.