Three spreadsheets, three truths. Sales rings 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.
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?
Every department its own list
Every department keeps its own list.
No one knows what is current
No one knows which version is right.
Duplicates cost trust
Duplicates and stale contacts cost time and trust.
Reporting is manual work
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
1
Consulting
Consulting defines up front which data you actually need.
2
Implementation
Implementation handles data migration, cleansing and deduplication into the right system.
3
Sales Operations
Sales Operations keeps data quality reliable with clear rules and ownership.
Results
2.1%
a month is how much accuracy B2B contact data loses, over 22 percent a year.
Marketing Sherpa
30%
of CRM data is outdated within twelve months.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
Our data is too messy to migrate.
That is exactly what the structured cleansing step is for. Mess is the norm, not the obstacle.
We tried this once already.
Without rules, any cleansing 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, cleanse 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 cleansing vendor-neutrally and sets up the ongoing data hygiene.
Frequently asked questions
What happens during a CRM data migration?
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 cleansing: removing duplicates, dropping stale records and standardising fields, so no old ballast comes along.
Is my data too messy to migrate?
Messy data is the norm, not an obstacle. A structured cleansing 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.
