At ServiceNow, we manage massive amounts of data across our operations. As our data stack continued to grow in volume and complexity, our procurement teams found themselves moving from system to system, searching for insights and information across separated sources. This fragmented approach created a productivity bottleneck that was slowing down our decision-making processes.

Our analytics dashboards were operating in rear-view mode, and the resulting actions from insights were often delayed. We needed a solution that could seamlessly connect our data onto a single unified source, bring analytics closer to where our teams work, make insights actionable, and improve productivity through our platform.

Building an analytics powerhouse on our platform

The ServiceNow AI Platform provided the foundation we needed to create a comprehensive analytics solution built on a two-pronged data strategy that addresses both velocity and volume challenges simultaneously.

Velocity: Processing data at lightning speed

RaptorDB Pro is our new proprietary database, achieving query responses that are 27 times faster than our previous system. By migrating to this next-generation database model, we can handle data at incredible speed and scale, turning raw information into actionable insights in real-time.

Volume: Connecting diverse data sources

Workflow Data Fabric is the intelligent connectivity layer that brings together structured and unstructured data from across our enterprise—including systems like Workday, SAP, and Okta—without requiring data duplication. Zero Copy Connectors deliver data connections that are 6 times faster than DaaS APIs, and we've seen a 70% reduction in integration costs as a result.

We act on insights from our data instantly

RaptorDB and Workflow Data Fabric have eliminated the need for our teams to navigate multiple systems.

Instead of operating in reactive mode with delayed insights, we now have real-time visibility into our operations with the ability to act immediately on the information we discover.