The challenges of enterprise integration (both for EAI and BI) are well documented highlighting the ridiculous amounts of time and monies burnt, most of which can be traced back to lack of consensus on common, shared data model or the rigidity of the agreed commonality that cannot accommodate the inevitable changes over time. The Category Theoretical approach enables an approach to create data model abstraction and allows any data model to have its own existence independent of implementation, unleashing immense business value not possible with conventional data engineering.
Traditional integration approaches resulted in information silos, which is an unintended artefact of the conventional data modelling approaches that results in incompatible (cannot be mixed with other projects’) data models. The most important starting point for any enterprise integration project is a data model that captures the business intent in the context of data sources. Given the central role the data model plays, almost all enterprise integration challenges can be traced back to data model related issues, as below. It needs a bit of conscious unlearning to appreciate these as challenges:
Read further here: https://surecan.substack.com/p/integration-off-abstract-data-model
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