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 acts as the intelligent layer that seamlessly connects vast amounts of data—both structured and unstructured—from multiple external systems onto our unified platform. This comprehensive layer leverages integrations and APIs to bring together data from systems like Workday, SAP, and Okta, while streaming data capabilities provide seamless connectivity without data duplication.

The connected analytics ecosystem

Workflow Data Fabric doesn't just connect data—it creates an intelligent bridge between RaptorDB's high-speed processing power and actionable outcomes. Once different data sources feed into RaptorDB through the fabric, the platform uses Process Mining and Large Language Models to understand patterns and extract insights.

This understanding then flows seamlessly into Workflow Studio, where AI Agents, Packaged AI Workflows, and Custom AI Workflows can immediately act on those insights, creating a closed-loop analytics system that automatically responds to changing conditions and triggers appropriate business actions.

We act on insights from our data instantly

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

Our query processing is now 27 times faster than before, enabling teams to access critical information without the delays that previously hindered their work. SQL performance has improved by 29.5%, while user transaction performance has increased by 25.5%, creating a seamless experience for employees who rely on data-driven insights.

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.