Fivetran > Case Studies > YipitData's Transformation: From Data Overload to Insightful Analytics

YipitData's Transformation: From Data Overload to Insightful Analytics

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Technology Category
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Cement
  • Finance & Insurance
Applicable Functions
  • Maintenance
Use Cases
  • Leasing Finance Automation
About The Customer
YipitData is a trusted source of insights using alternative data. The company's product teams analyze billions of data points each day to provide the granular insights that drive the successful decision-making of hundreds of investment funds and highly innovative corporations. As the company began to grow rapidly, it faced challenges in scaling its analytics activities, which were running on dozens of Amazon Redshift clusters. To overcome these challenges, YipitData migrated to the Databricks Lakehouse Platform and began using Fivetran to ingest data from various SaaS platforms into Databricks.
The Challenge
YipitData, a trusted source of insights using alternative data, faced a significant challenge as it began to grow rapidly. The company's analytics activities were running on dozens of Amazon Redshift clusters, with each team within the company maintaining its own clusters. This arrangement became cumbersome, especially when YipitData needed to share common data sets across teams. The company's product teams analyze billions of data points each day to provide granular insights that drive the successful decision-making of hundreds of investment funds and highly innovative corporations. However, the existing system was slowing down analytics and making it difficult for the company to stay ahead of its market.
The Solution
YipitData migrated to the Databricks Lakehouse Platform to create a self-service data platform for its product analysts. The company also began onboarding operational teams such as Revenue Operations and Finance to Databricks. To ingest data from 20 SaaS platforms into Databricks, YipitData used Fivetran, enabling operational teams to access raw data without involving engineers. The company also integrated NetSuite with Databricks, helping its Finance team overcome reporting limitations and get better information with less manual effort. As YipitData continues to grow, it plans to become a data-centric organization by empowering everyone to use Databricks and Fivetran to answer questions with data.
Operational Impact
  • The implementation of Databricks and Fivetran has transformed YipitData's operations. The company's business teams can now collaborate and iterate as they build new types of reports. By eliminating their biggest technical barriers, teams can apply their business knowledge to the toughest data challenges and come up with the insights clients need. The Finance department, in particular, works far more productively while dealing with tens of thousands of rows of data in spreadsheets. Instead of enduring frequent spreadsheet crashes and questioning the integrity of data, the team now uses queries to produce reports in minutes. As YipitData continues to grow, it plans to give its business users access to ever-increasing volumes of raw data, unlocking business value for nearly every team at the company.
Quantitative Benefit
  • 10+ SaaS data sources ingested into Databricks via Fivetran
  • 50+ Amazon Redshift clusters eliminated
  • 10x Company growth since implementing Databricks and Fivetran

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