Data Transformation.

Our services in detail

High data quality is a prerequisite for functioning applications and processes in your company. By optimising the structure and content of your data, we make sure that it can be used effectively and efficiently.

To do this, we compile data from all relevant sources and process it with powerful tools outside the respective productive systems. This means that our design options for processing are not limited by the data models and functions of the software used.

We implement algorithms for checking, correction and enrichment in order to convert your data into the desired target format on a rule-based basis and in assured quality.

Our agile approach is geared to your requirements and allows us to parallel design and implementation. This enables us to evaluate and document alternative solution options in a well-founded manner.

In transformation projects we achieve the following goals

• Convert numbering systems
• Clean up terminology
• Delete invalid and incorrect information
• Resolve inconsistencies
• Clean up formats and content on value level
• Make implicit information explicit
• Enhance information
• Populate Fields and Classification Characteristics
• Consolidate groupings and hierarchies
• Maintain status information
• Cleanse Duplicates

As methods we use

• Agile project management
• Criteria-based data selection
• Text mining
• Cross referencing / mapping
• Mass data processing
• Automatic tests / validation