Driving Cost Savings and Performance Gains for Intelitics
Background
Intelitics, a prominent leader in customer acquisition analytics, specializes in solutions that empower performance marketers, ad networks, and media buyers. With a comprehensive analytics suite, Intelitics helps businesses optimize acquisition strategies through enhanced visibility, data analysis, and reporting. As its client base expanded, Intelitics became a trusted resource in the customer acquisition ecosystem. However, this growth increased demands on its data infrastructure, highlighting the need for scalable, cost-effective solutions. To address these needs, Intelitics aimed to reduce operational costs, improve analytics performance, and position itself for sustained growth.
Intelitics partnered with kipi.ai, an elite Snowflake partner, to modernize its data infrastructure using Snowflake’s robust platform and Sigma Computing’s advanced BI capabilities. This collaboration laid the foundation for significant cost savings and performance improvements, aligning with Intelitics’ goals for optimized customer acquisition analytics.
Challenges
As Intelitics expanded its client base and data volumes, it faced several infrastructure challenges:
- High Total Cost of Ownership (TCO): Maintaining distinct, client-specific technology stacks incurred substantial operational costs. The reliance on Amazon Redshift and other client-dedicated solutions limited Intelitics’ scalability. To reduce TCO and streamline resources across clients, Intelitics required a centralized, scalable solution.
- Sluggish BI Report Performance: Intelitics’ customers needed rapid, reliable data insights to inform decisions. However, generating BI reports using Amazon Redshift and Looker was slow, affecting Intelitics’ ability to meet performance standards. Reducing data refresh latency and improving report generation times became a priority.
- Need for Cost-Effective Scalability: Intelitics required a data framework to manage multi-client environments without escalating costs. This shift demanded a scalable, robust platform that could support growth objectives and simplify customer onboarding.
Solution
Kipi.ai designed and implemented a comprehensive solution for Intelitics:
- Transition to Snowflake and Sigma: kipi.ai orchestrated the migration from Amazon Redshift and Looker to Snowflake and Sigma Computing. Snowflake’s cloud data platform offered Intelitics a scalable, high-performance environment, while Sigma’s BI capabilities enabled seamless integration and improved report accessibility. This transition created a unified platform, reducing operational costs and enhancing data accessibility.
- Data Migration to Snowflake: The migration involved transferring customer data from Amazon RDS PostgreSQL to Snowflake and transitioning BI reports from Looker to Sigma. This centralization ensured efficient data processing and reporting for Intelitics’ clients.
- Scalable Framework Development: kipi.ai developed a scalable, multi-client framework, streamlining data and reporting pipelines for Intelitics. This framework reduced manual intervention, minimized operational overhead, and facilitated the efficient addition of new clients.
- Automated Customer Onboarding: Leveraging Snowflake and Sigma, the new framework automated customer onboarding, reducing time and effort to integrate new clients and enabling Intelitics to scale while maintaining service quality.
Results
Implementing Snowflake and Sigma transformed Intelitics’ operations:
- Significant Cost Savings: Centralizing its data platform led to annual savings of $15,000 to $20,000. Cost reductions were achieved by consolidating infrastructure, eliminating redundant stacks, and reducing operational expenses.
- Enhanced Performance with Faster Data Refreshes: Data refresh times dropped from 40–45 minutes on Redshift to 1–2 minutes on Snowflake. This improvement boosted BI report responsiveness, delivering near-real-time insights for customers and elevating user experience.
- Streamlined Multi-Client Framework: The scalable framework allowed Intelitics to support its multi-client environment efficiently. Simplified data pipelines enabled flexibility in managing client-specific data without escalating costs.
- Automated Customer Onboarding: Automated onboarding minimized manual work, allowing Intelitics to integrate new clients quickly and adapt to business growth while maintaining operational efficiency.
- Improved Data Accessibility and Reporting: Transitioning BI reports to Sigma on the Snowflake platform improved data accessibility and reporting speed. Sigma’s intuitive interface enabled Intelitics to deliver accurate, real-time insights, empowering customers to make data-driven decisions.
Conclusion
The strategic partnership between Intelitics and kipi.ai achieved a high-impact transformation of Intelitics’ data infrastructure. By migrating to Snowflake and Sigma, Intelitics realized substantial cost savings, automated key processes, and established a scalable, high-performance data ecosystem for customer acquisition analytics. With a streamlined data architecture, rapid data refresh rates, automated onboarding, and centralized management, Intelitics is positioned for ongoing growth.
This case study highlights the critical role that modern data warehousing and analytics solutions like Snowflake and Sigma play in optimizing customer acquisition analytics. The successful collaboration between Intelitics and kipi.ai demonstrates how companies can reduce TCO, enhance performance, and drive scalability while maintaining a competitive edge in a data-driven landscape.
About kipi.ai
Kipi.ai is a leader in modern data solutions, helping organizations transform their data infrastructure and achieve scalable business results. As an Elite Snowflake Partner, kipi.ai specializes in AI-driven data centralization, automation, and advanced analytics. Through strategic partnerships and innovative technologies, kipi.ai empowers businesses to thrive in an AI-powered world. For more information, visit www.kipi.ai.
