"Digital Transformation needs a Knowledge Graph Driven Business Digital Twin First "

"The promise of IoT, Smart Supply Chain, and Artificial Intelligence is to provide better decisions and to enable faster implementation. Though all trends are still in an infant stage. And the reason is not the lack of data. It's the pitfalls of past and present data management approaches that lock data in silos or try to force it into one inflexible data model (like most MDM projects do). Enterprises get paralyzed by those structures. They don't even know where to start with digital transformation.

This talk introduces a clear process that follows the businesses' core aspects: product, processes, partners and people. We call the digitalization and integration of those 4 P the Business Digital Twin. Product data, process data, ecosystem data (partners) and the domain expert knowledge (people) are all linked and highly interdependent, though all too often also inconsistent creating multiple or contradictory truths. The aim of the Business Digital Twin is to visualize and link interdependent data sources in a knowledge graph engine independent of their sytems, formats and definitions. This allows to establish full data visibility to bridge the multiple “versions” of the truth. It's a powerful, yet easy way to enable data agility and achieve seamless digital collaboration throughout an enterprise and across business eco-systems."