Oracle and Coupa without disrupting existing workflows,” says Adriano.
The ability to adapt to local requirements whilst maintaining global standards is particularly valuable for multinational organisations:
“ We adapt to custom data models and local taxonomies while maintaining a global perspective. Our AI can handle high volumes of data with multilingual content, which is critical in global rollouts.”
Adriano emphasises that effective integration extends beyond technical considerations to how users interact with and benefit from the system:
“ Integration isn’ t just about technology – it’ s about enabling users across countries and, and functions to work with the same high-quality data, harmonised at the source.”
Sustaining data quality through governance Achieving high data quality is only the beginning; maintaining it over time requires robust governance frameworks and continuous improvement processes. As business needs evolve, so too must data management practices.
Adriano outlines his company’ s approach to this challenge:“ We provide a platform that supports end-to-end data lifecycle management. This includes automated validation and classification
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