Master data
Keep customer, article and account data consistent across tools
For companies where operational problems often start with the same base data looking different in different systems.
The problem
Bad master data turns every later workflow into manual control
If customer names, addresses, article numbers, account IDs or price rules differ between systems, every integration after that becomes fragile.
A master data project is often the quiet foundation that makes CRM, ecommerce, reporting, support and finance automation work reliably.
Good fit for
- Companies with duplicate customers, old article records or unclear system ownership.
- Teams preparing for ecommerce, CRM, BI, support or finance integrations.
- Businesses where reporting is questioned because the underlying data differs.
First version
- Identify the records that create the most downstream issues.
- Decide the owning system for each field and record type.
- Create matching, validation and update rules.
- Give teams visibility into rejected or ambiguous changes.
What changes
- Fewer errors caused by duplicate or conflicting records.
- More reliable integrations built on a clearer data model.
- Better reporting because source definitions are documented.
How we keep it grounded
Built around ownership, logs and business rules
We start with a narrow data domain instead of trying to cleanse everything.
Ownership rules are documented in language the business can review.
The integration rejects unclear changes instead of silently spreading bad data.
Questions before a first integration
Do we need to replace our current systems first?
Usually no. We start by connecting the systems already in use and limit the first project to one workflow where manual handoffs are visible.
How long does a first delivery usually take?
Most first deliveries take 4-8 weeks, depending on the number of systems, data quality, exception rules and test scenarios.
What happens when the workflow has exceptions?
Exceptions are designed into the flow. The goal is not blind automation, but clear status, logging and a small number of manual decisions where people add judgement.