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

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

YipitData's Transformation: From Data Overload to Insightful Analytics

Fivetran

Technology Category	Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Cement Finance & Insurance
Applicable Functions	Maintenance
Use Cases	Leasing Finance Automation
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Cement

Finance & Insurance

Applicable Functions

Maintenance

Use Cases

Leasing Finance Automation

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 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.

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.

Impact #1	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.

Impact #1

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.

Benefit #1	10+ SaaS data sources ingested into Databricks via Fivetran
Benefit #2	50+ Amazon Redshift clusters eliminated
Benefit #3	10x Company growth since implementing Databricks and Fivetran

Benefit #1

10+ SaaS data sources ingested into Databricks via Fivetran

Benefit #2

50+ Amazon Redshift clusters eliminated

Benefit #3

10x Company growth since implementing Databricks and Fivetran

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Overview

YipitData's Transformation: From Data Overload to Insightful Analytics

Operational Impact

Quantitative Benefit