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YipitData's Transformation: From Data Overload to Insightful Analytics
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Finance & Insurance
Applicable Functions
- Maintenance
Use Cases
- Leasing Finance Automation
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.
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 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
Quantitative Benefit
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