IT giants have built social graphs using graph databases, which are extremely flexible in modeling data and relationships. A new and emerging field are Enterprise Graphs, integrating information from different sources within the Enterprise.
Swatch Group Services (SGS), the datacenter provider of the Group, was challenged with a continuously increasing demand for IT resources for Industry 4.0 and other business needs.
In 2017 SGS decided to consolidate its IT assets in a graph database. The solution went live in 2018 and today consolidates more than twenty different systems, forming an Enterprise Graph. About 1 million nodes and 10 million information elements are stored in the graph. Compared to a classical application architecture, the solution was put into place four times faster.
The graph is used by the local IT organizations, the service desk, the security teams, the account managers, the operations teams, and the engineering teams to "google" IT assets in the datacenter, to provision new servers and databases, to operate existing assets, to alert application owners, to summarize infrastructure cost (chargeback) and much more.
In a next step, SGS will mine the graph to provide a recommendation system and to highlight access rights that seem out of the norm.
Industry analysts identified Graph as a top 10 trend in Data Technology. SGS is taking a pioneering role in the emerging field of Enterprise Graph and demonstrates the full potential of graph databases and graph analytics in full production, already today.