Data preparation
We prepare existing records for use in your IT systems. This can include technical master data, asset registers and project lists. The right structure depends on how your team plans to use the data.
Typical assignments
Prepare for a system change
We map records from the existing system to fields in the new structure. We document which information can be carried across directly and which entries need a decision from a subject matter expert.
Standardize lists from different teams
When sites or departments use their own labels and units, we bring the records together under agreed rules. That makes the information easier to compare across sources.
Check master data before sharing it
We flag missing required fields, duplicate entries and inconsistent formats. Your team can review the affected records before the data is shared or imported.
Define checks and field mappings
We establish which fields are required and which values, units and formats are accepted. We then map existing records to the target structure. An import template for a system such as SAP can provide a starting point.
We check whether apparent duplicates refer to the same object. When a case needs a decision from your team, we identify the affected records and agree how to proceed.
Results ready for further processing
We deliver the prepared data in the agreed format. Your team can review how entries were mapped or changed and see which records still need a decision.
- Prepared data in the agreed field structure
- Documented mappings and validation rules
- A list of records that need clarification
Frequently asked questions
Does the target system have to be decided already?
We can review and standardize the data earlier. For an import, we agree the field structure and formats once the target system requirements are available.
Can we start with a subset of the data?
Yes. A representative sample lets us try out the mappings and rules. It can reveal special cases to account for when working on the full dataset.