How One Fintech company solved data pipeline reliability with Matia

Company: Obligo‍

Location: New York & Israel

Industry: Fintech, Real Estate Tech

Employees: 100

Solutions: Ingestion

Website: myobligo.com 

The Data Stack:

• Ingestion: Matia
• Warehouse: Databricks
• Transformation:Databricks
• BI Tool:Tableau / Sigma BI
• Connectors Used: over 15 including Posgres, Google Analytics, Aircall, Jira, MongoDB and more

The Company

Obligo is a B2B2C fintech company that simplifies the  rental process by eliminating security deposits, making renting easier for tenants and more efficient for landlords. Obligo manages complex data processes that are essential for risk assessment and customer pricing models. The company's data operations are crucial for its day-to-day operations, requiring robust, reliable, and scalable tools to manage the flow of information.

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“When we moved to Matia, our goal was to unify siloed systems to move data faster and more reliably. The Matia Platform has lived up to the hype and more. Having a single source of truth for data means our engineers can focus on our product innovation, instead of fixing broken and inconsistent data pipelines.” - Avner Shier, VP of Data & Finance, Obligo 

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The Challenge

Upon joining Obligo, Avner Shier, the VP of Data and Finance, inherited a data management system that was reliant on a legacy open-source ETL tool. However, Avner quickly identified limitations as the team scaled, and realized he needed a managed service. 

Obligo initially explored a newer ETL-alternative. While initially hopeful of the new tool, they had repeated issues with connector reliability, especially when integrating with HubSpot. These issues led to significant operational challenges. The reliability challenges meant the data team needed to build monitoring systems against this ETL tool, which was cumbersome for their small, lean team. 

The Solution

Obligo learned about Matia, and immediately signed up to try it out. They were initially intrigued by the promise of a reliable ETL tool, but also liked the idea that the platform provided reverse ETL, Observability and Catalog, so they would not have to spend time adding tools as their needs became more sophisticated.  Some highlights include:

Seamless Implementation & Support: The implementation process for Matia was smooth, taking 2 weeks to add the 30 integrations, with the Matia team working closely Obligo’s lean data engineering team. 

Customized Dev Work: When Obligo requested a Sakari connector, the Matia team was able to deliver it within 24 hours. 

Reliable Data Pipelines: At the end of the implementation, Obligo was thrilled that the Matia did exactly what it promised to do. Move data reliably to their warehouse and datalake.  

“We’re proud to run a lean engineering operation. Matia’s level of support combined with the power of the platform has allowed us to 10x the impact of our engineering and data teams.” - Avner Shier, VP of Data & Finance, Obligo 

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The Impact

Since adopting Matia, Obligo has experienced significant improvements in its data & engineering operations. The lean team of data engineers was spending 25 hours monthly before maintaining and supporting data pipelines, and now are able to focus those efforts on product innovation. This represents a 83% increase in productivity. 

Avner and the data team are well-positioned to scale their data stack with Matia, and will soon be leveraging reverse ELT, catalog, and observability.  This will reduce the complexity and cost associated with managing multiple tools. 

Overall, Matia has become an integral part of Obligo’s data infrastructure and operations, providing the reliability, support, and scalability necessary for the company's continued growth and success.

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