Make fields, values, keys, rules and target structures explicit
Data mapping and integration
Connect sources without hiding the transformation logic.
We align source and target structures, define transformations and design refresh workflows so information can move between files, APIs, databases and partners with fewer surprises
Define how names, formats, hierarchies and calculations change
Design repeatable hand-offs, checks, ownership and failure paths
The problem
Integration fails when the hand-off is treated as a black box.
Different systems can describe the same product, customer, location or transaction in different ways. A working connection needs more than moving columns: it needs agreed keys, value rules, transformations, refresh timing and a way to explain what happened when the output is not as expected.
We make those decisions visible and design an integration workflow that fits the real sources, tools and people involved
What is the source and target?
Define structures, keys, ownership, timing and expected outputs
How does one representation become another?
Document mappings, calculations, reference data and exceptions
What happens on every refresh?
Set checks, hand-offs, failure paths, alerts and maintenance responsibilities
Typical inputs and outputs
An integration design the team can run and explain.
The result can support a recurring file process, a reporting dataset, a partner exchange or a larger technical implementation
Fields, keys, formats, allowed values, required logic and ownership
Standardization, joins, calculations, reference-data alignment and exception handling
Inputs, frequency, sequencing, validation checks, hand-offs and failure paths
Assumptions, boundaries, open questions, test cases and maintenance guidance
Tools and system boundaries
Design the flow around the systems that actually exist.
Sources may include Excel or CSV files, partner templates, APIs, databases or exports from business systems. We can define the integration logic and operating model without prescribing a specific vendor or claiming to replace the organization’s engineering function.
Related thinking
AI is only as useful as the hand-offs around it.
A case study exploring how controlled data flows and workflow design support AI integration in FMCG