Goodbye legacy, hello business innovation

exxfer collects data from various areas of the legacy IT system. This includes information from source code repositories, databases, ticket systems or workshops and interviews – the insight into the current state of the system.​
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The comprehensive extraction process captures all relevant data needed to identify areas of improvement. The next step: structured data organisation, storage and enrichment by our collection of IT-modernisation algorithms – the key to efficient analysis and processing.

exxfer turns data into meaningful visual representations – a critical step allowing decision makers and technical teams quickly understand the insights generated as well as identify areas of improvement.​
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For this, we use various visualisation techniques, including charts, graphs, and heat maps. Advanced analytics tools help identify patterns and correlations in the data which might not be immediately apparent from the raw data alone.

Using advanced data science and machine learning techniques, exxfer identifies architectures smells and identifies microservice candidates from monolithic legacy IT-systems.