Xplain Data GmbH

cause and effect is key to artificial intelligence. we help our customers to uncover cause and effect relationships in complex data. our object analytics database is the key to causal discovery. your business is focused around a specific object – it might be the “customer”, the “patient”, or a technical device, like the “machine” or the “car”. no matter what the central focus of your business is, understanding it holistically - meaning, with all information available - is vital to your business’ success. that, however, is exactly where todays databases and analytical technologies perform poorly. databases are meant for managing complex data, but they split an object into atomic parts and store them in different tables. once distributed across many tables, it is extremely difficult to analyse the object “as a whole”. many companies have come to realise that even though they have “all the information” in their database, they are still not able to analyse their business objects holistically. with our object-centric data store, xplain data allows you to analyse your complete object of interest. this holistic view is in particular important to understand cause-and-effect relationships in real world data – which is facilitated by our causal discovery approach. visit our website to learn why correlation does not imply causation, what the difference is between predictive models and causal discovery, and why understanding cause-and-effect is vital to intelligently manage your business.

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