Making Legacy Data Understandable

Many long-standing applications leave behind complex, historically grown data sets. Documentation is often incomplete or missing, field meanings are unclear, or only fragments of the original knowledge remain. At the same time, these data sets need to be migrated into new systems, modern databases, or cloud services.

I analyze the structure, composition, and quality of your existing data—whether it originates from databases, files, exports, or proprietary formats. The goal is to uncover relationships and business logic and to derive a reliable, well-understood data model.

This includes, among other things:

• Analysis of existing data models, tables, files, and relationships
• Reconstruction of missing field descriptions and business logic
• Cleaning of incorrect, duplicate, or incomplete records
• Transformation into modern formats (e.g., SQL, CSV, JSON, XML)
• Migration into new applications, databases, or interfaces
• Creation of a clear, documented target data model

Whether you are replacing a legacy system, migrating data into a new application, or simply need clarity about your current data landscape — I help you turn old data into a reliable foundation for future systems.