Case studies
Infinite possibilities thanks to graph database technology
Graph databases provide flexible way to link data and continuously evolve data models
Challenge
Coming up with a data model (schema) that is fit for every future use case is impossible. The rigid structures of relational databases make it difficult to change the schema later on so it becomes hard to move quickly to digitise operations. Lengthy business analysis phases are then followed by lengthy contextualisation processes were the data in ingested into a data lake before the user functionality can be delivered.
Solution
Graph databases such as Neo4j work completely differently and allow information to be linked together just like a person would draw things on a white board. New information and relationships can be continuously added without affecting what has gone before.
Impact
The data model at the heart of Eigen Ingenuity allows infinite possibilities for linking and modelling data and information. Structures can be imported from spreadsheets and the model can be evolved over time allowing you to take a step-by-step approach to building your Digital Twin.
September 5, 2023
Upgrading legacy production reporting
August 25, 2023
Upgrading business-critical legacy workflow and report
August 19, 2022
