NetSpring Product and Customer Journey Analytics to deliver better products and customer experiences, Powered by Snowflake

NetSpring announced at Snowflake’s annual user conference, Snowflake Data Cloud Summit 2024, the launch of its Product and Customer Journey Analytics. This innovative application, powered by Snowflake, aims to empower product-led companies with cost-effective, impactful analytics by leveraging all product and customer data in their Snowflake AI Data Cloud. The goal is to build better products and deliver superior customer experiences.

Key Features of NetSpring’s Product and Customer Journey Analytics

1. Centralized Analytics:
   • Built directly on Snowflake’s AI Data Cloud, eliminating data silos.
   • Ensures cost, security, privacy, governance, and trustworthy analytics.
2. Cost-Effective Data Management:
   • Utilizes Snowflake’s centralized storage and compute engine.
   • Avoids expensive and error-prone ETL and Reverse ETL jobs.
3. Comprehensive Data Analysis:
   • Analyzes all product event data and customer business data in Snowflake.
   • Ties analytics to true business value across the entire customer journey.
4. High ROI:
   • Increases the return on investment of analytics initiatives.
   • Standardizes the AI Data Cloud as the central source of truth for all data.
5. Trust and Collaboration:
   • Provides a single tool for all analytics, ensuring trust in the data.
   • Facilitates collaboration between business users and data teams.

CEO’s Perspective

"Historically, product and customer analytics have been done in specialized systems with siloed data stores. By building analytics platforms directly on top of the Snowflake AI Data Cloud, NetSpring delivers enterprises significant gains in cost, security, privacy, governance, and trustworthy analytics," said Vijay Ganesan, CEO of NetSpring.

Snowflake’s Insights

"NetSpring brings a new class of event-oriented analytics workloads to Snowflake, proving that these workloads can be effectively managed on an enterprise's single source of data truth," said Prasanna Krishnan, Head of Collaboration and Horizon at Snowflake.

Benefits for Joint Customers

1. Standardized Data Source:
   • AI Data Cloud as the central source of truth, avoiding external SaaS services.
2. Cost-Effective Storage:
   • Capture and store all raw event data in Snowflake cost-effectively.
   • Pay based on consumption rather than event volume.
3. Comprehensive Analytics:
   • Analyze all product and customer data in Snowflake for impactful analytics.
   • Tie customer experiences to business outcomes such as revenue.
4. Trusted Insights:
   • Use a single tool, NetSpring, for trustworthy data insights.
   • Confidence in making business decisions based on unified data.
5. Faster Analytics:
   • Avoid back-and-forth between business and data teams.
   • Enable self-service and collaborative analytics in the same tool.

By building on Snowflake's AI Data Cloud, NetSpring's Product and Customer Journey Analytics offers product and engineering teams the ability to develop, scale, and operate applications without operational burdens. This allows companies to deliver differentiated products and gain deep insights into customer journeys. Stay updated on the latest developments from Snowflake and NetSpring by following their events and announcements on LinkedIn and Twitter.