Silverfort
Leading cybersecurity firm transforms its small data team into a global analytics powerhouse with Boomi and Snowflake.
ビジネス目標
Silverfort delivers advanced identity protection and intelligence across all enterprise systems, managing vast, complex datasets. The company manages massive volumes of complex data in its mission to continuously discover and secure every dimension of identity.
To maintain its competitive edge and support rapid expansion, Silverfort required a reliable, scalable data infrastructure that would maintain high accuracy and integrity as it expanded.
連携における課題
Silverfort’s rapid expansion from 100 to 500 employees overwhelmed its internal data infrastructure. Fragmented data across Salesforce and Excel created silos, hindering a unified business view and scalability.
Compounding this, its lean data team lacked the capacity to handle long development cycles or high-maintenance overhead. With strict budget constraints and leadership demanding clear ROI, Silverfort faced urgent time-to-market pressure to integrate disconnected data and provide immediate, actionable insights to optimize finance and go-to-market processes.
Boomiによる解決
Silverfort selected Boomi and Snowflake to launch its first data platform, bridging silos to establish an AI-ready foundation. Boomi’s low-code integration seamlessly connected disparate systems such as Salesforce, Jira, and Zendesk, saving valuable time.
By centralizing this data into the Snowflake AI Data Cloud, Silverfort built a reliable, scalable platform. This integration enabled their small team to effectively orchestrate data across the entire organization, significantly simplifying complex processes while maintaining governed, secure, and risk-managed connections for future growth.
成果
By unifying Snowflake and Boomi, Silverfort achieved substantial, immediate gains. Enhanced visibility drove quick ROI, delivering vital analytics throughout the organization.
These data-driven insights streamlined sales productivity, customer success strategies, and financial automation. Because the solution was easy to manage, the data department expanded from one to six experts while prioritizing innovation over maintenance.
Ultimately, fixing core integration gaps provided the essential framework for agentic AI and long-term expansion.
