Datenpilot
Check company master data in CRM and ERP with measured rules: find contradictions, propose corrections
Does this sound familiar?
A customer is active in the CRM while the register has long listed a liquidator. Quotes, reminders and credit limits go nowhere.
Contacts and officers date from when the record was created. The leadership has changed since, the system has not.
A misassigned industry moves companies into the wrong territories, campaigns and reports.
What a finding looks like
Your record, the company profile next to it, and where the two contradict each other.
Your CRM record
- Company
- Hollmann Präzisionstechnik GmbH
- City
- Heilbronn
- Industry
- Mechanical engineering
- Status
- active
Implisense profile
- Company
- Hollmann Präzisionstechnik GmbH
- City
- Heilbronn
- Industry
- Mechanical engineering
- Status
- in liquidation, liquidator registered 03/2025
Marked active, but a liquidator is registered
Proposal: Set status to "in liquidation", review open quotes and the credit limit.
How It Works
From inquiry to final deliverable — transparent and predictable.
Hand over an export
You send an export of your company records: name, address, register number where available
Match
Every record is matched to a profile among around 2.3M active German companies
Check with approved rules
Only measured rules check the whole dataset, such as "marked active, but a liquidator is registered"
Review the findings together
You receive the report and correction proposals and decide what flows back into your systems
Hand over an export
You send an export of your company records: name, address, register number where available
Match
Every record is matched to a profile among around 2.3M active German companies
Check with approved rules
Only measured rules check the whole dataset, such as "marked active, but a liquidator is registered"
Review the findings together
You receive the report and correction proposals and decide what flows back into your systems
What You Receive
Findings report
- Matching of your records to company profiles
- Findings by rule family and cause: people, status, industry, financials, contact, website
- For every finding, the rule it comes from and the data it is based on
Correction proposals as a file
- Proposals to review before anything is applied, no write access to your systems
- A joint review meeting and a say in the rule catalogue
Packages & Pricing
Pilot: 6–8 weeks
Flat fee
For datasets of 50,000+ companies, three places. We state the fee in the first call and credit it in full if you use Datenpilot afterwards.
Seen enough?
Request a pilot placeWhy Implisense
Every rule is measured before it checks
A rule is reviewed on a random sample of its hits and only approved once it produces few false alarms
Causes, not single errors
Many errors arise systematically. The report shows such patterns, so one correction at the cause fixes many records at once
Your systems stay untouched
The pilot works with an export, under a data processing agreement. We delete your data no later than 30 days after the pilot ends
Frequently Asked Questions
Common questions we receive about this service.