Implementation
Build or extend a database
A new data area receives a clear structure, relationships and rules, with a verifiable schema change.
Implementation / Backend development & data architecture
VAT-exempt under section 19 of the German VAT Act
Import or migrate data
Move a defined dataset to a destination system using documented rules, with a trial run, error report and record count reconciliation.
US$2,249.00
Total price · one-offVAT-exempt under section 19 of the German VAT Act
- Prepare one source and one destination for up to three data types and 10,000 records
- Implement field mapping and up to ten agreed transformation rules
- Perform one isolated trial run with count reconciliation and an error report
Your enquiry is non-binding. An order is created only when you accept our quotation .
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Service scope
Your result
- A tested import procedure for the agreed dataset
- Trial report with imported, rejected and unresolved records
Included
- Prepare one source and one destination for up to three data types and 10,000 records
- Implement field mapping and up to ten agreed transformation rules
- Perform one isolated trial run with count reconciliation and an error report
- Deliver a repeatable import script and agreed execution plan
Excluded
- Manual cleanup of arbitrarily incomplete source data
- Unreviewed changes to a production database
- Ongoing synchronisation, file attachments and complex media archives
Which projects does this service suit?
Suitable if …
- A defined dataset needs a one-off move to another system
- Transfer needs traceable error and count checks
Not suitable if …
- Two systems should remain synchronised in both directions permanently
- Unknown data quality should be cleaned automatically without business decisions
What this covers
How do we transfer existing data without losing track during import?
Migration transfers data once from one source to one destination. Reading a file is only part of it. Fields must fit business meanings, duplicates need handling and missing values must be visible. The package prepares a limited dataset with up to three data types.
The import procedure is tested first with isolated data. The report lists imported, rejected and unresolved records. Before production import, we agree the process and backup of the destination.
Matching counts do not replace business checks
Source and destination may contain the same row count yet have incorrect mappings. We therefore check agreed samples and relationships as well as counts. A date format, currency or missing customer identifier can change a row's meaning.
Import rules describe whether existing values are replaced, supplemented or rejected. Repeatability does not mean blind overwriting. The procedure should allow controlled reruns and keep unresolved cases visible. Business decisions about doubtful data remain explicitly traceable.
Does this sound familiar?
A system move needs data import
The destination structure is established and existing data is exported. We check readability and mapping before transferring records.
A first import produced unclear errors
Without an error list, missing data is hard to identify. A controlled procedure documents rejected records and their specific causes.
An import must be repeatable
Trial and final runs need the same traceable rules. Handling of existing records is defined beforehand.
How we approach it.
Review source and mapping
We examine representative exports and clarify types, relationships and missing values. Duplicate and overwrite rules receive business approval.
Develop the import procedure
We implement approved mapping, duplicate and overwrite rules in a repeatable import procedure distinguishing imported, rejected and unresolved records.
Reconcile the isolated trial
A test-data run produces counts and an error list. We compare samples and counts with the source and record mappings needing business clarification before another run.
Hand over the procedure and prerequisites
You receive the import procedure and documented test results. Before later production execution, process, destination backup and express approval must be agreed.
After handover
Clarify rejected records with the responsible business person. They decide, for example, which of two conflicting values to retain. The import can then be tested again.
A one-off migration does not automatically keep systems synchronised afterwards. Continued work in both systems requires a separate reconciliation concept.
Describe the intended function and an example of a successful process. Name existing systems and the roles involved without sharing real customer data or credentials.
After your enquiry, we clarify which data the function processes, which rules it must follow and which systems it must contact. Required documents and test access are agreed separately.
Terms used in this service
What does that mean?
- Migration
- A planned transfer of data or structures to a new state. Here it means one limited import, not ongoing synchronisation.
- Trial run
- Execution in an isolated environment to check rules and results before possible production use.
- Count reconciliation
- Comparison of source, destination and error counts. It reveals missing records but needs business samples and relationship checks too.
Before your enquiry
Questions about the offer.
What is included, what do you need and what happens after your enquiry?
The process in detail →Are Excel or CSV files possible?
Readable structured exports can serve as sources. Format, encoding, field contents and scope are checked beforehand; complex workbooks may need preparation.
Who decides about duplicate records?
Business rules are agreed before starting. Unclear cases are reported, not merged or deleted without a basis.
Is import performed directly in production?
The package initially covers the procedure and isolated trial. Production execution requires separate express approval, backup and an agreed process.
Can attachments be transferred too?
File attachments and larger media archives are excluded. Access rights, file mapping and storage volume need separate planning.
What happens to invalid rows?
They appear in the error report with a clear cause. After business correction, the agreed import can be rerun under control rather than hiding missing rows.
When does work begin?
We confirm the start and delivery deadline in writing after reviewing your documents. The agreed scope and complete source data determine the schedule.
Which access is needed?
Readable source exports, documented destination schema and permission to use the data Business-approved mapping and rules for duplicates and missing values Credentials must not be included in the enquiry. Details are agreed only after written commissioning.
What happens after handover?
One written follow-up round is included. The service scope lists the analyses, designs or technical changes covered by the package. We agree additional work with you before it begins.
Read more on this topic
Checking a CSV import: avoiding data migration errors
Check row counts, identifiers and relationships before a data import changes existing records.
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