Deliverect Accelerated Data Centralization and Enhanced Analytics with Hevo Data

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Saved the Equivalent of One Full-Time Engineer with Hevo

Streamlined Data Operations and Maximized Efficiency by Automating Data Integration and Reducing Manual Effort

Built a Hybrid Analytics Model

Enabled Self-Serve and Custom Reporting for Business Users, Enhancing Data Accessibility and Empowering Teams

Deliverect has been digital-native from the start and has undergone an impressive journey to achieve its current level of data maturity. Antonio Curado, Technical Lead of Data at Deliverect, explains how the team centralized all their data in BigQuery without needing much technical expertise, enabling them to build a hybrid analytics model across the organization. 

Antonio B. Curado, Technical Lead

The Problem

Deliverect started out with just one database as a small, growing startup. As they grew, they felt the need to centralize this information. The business urgently needed to analyze product data, billing and financial data, marketing data, sales data, and more across tools to gain a clearer picture and make better decisions.

At this point, BigQuery came into the picture as the choice of the data warehouse for Deliverect. 

However, the journey was not done once BigQuery was set up. The data from all these sources needed to be brought into the warehouse, and the data team at the time consisted of one BI analyst who wished to present analysis and visualizations but did not have the required expertise to set up the data pipelines. 

The Solution 

At this critical juncture, Antonio’s teammate discovered Hevo Data. They immediately appreciated how easily Hevo enabled them to set up pipelines and send data to BigQuery.

He expressed that Hevo does all the work, provides great support, and does not burn a hole in the pocket. The user experience, the quick and understanding support, and the ease of use were all compelling reasons to pick Hevo. There was no need for advanced technical expertise to integrate all their various data sources into BigQuery. Antonio’s teammate saw data flowing seamlessly and in the correct format within no time at all. 

Deliverect's Data Stack

“Hevo just works. The user experience is great, and the support has been very quick to understand our problems. Compared to alternatives and even building in-house, Hevo is the most cost-effective option.”

- Antonio Curado, Technical Lead, Data

As the scale of data within Deliverect grew, the data team also grew, adding both BI analysts and data engineers. Now, the data sources and pipelines are managed by the data engineers, while the BI layer is managed by the BI analysts, with the modelling of the warehouse as a shared responsibility between the two parts of the team. Now, Antonio and his fellow data engineers are attempting to migrate all their custom pipelines completely to Hevo for all their different integrations from 1000+ partners in different regions across the globe. 

The Impact 

Antonio believes that the biggest advantage of using Hevo is the significant reduction in time spent. If they used manual pipelines, they would need at least one extra full-time engineer to work on schema mapping, pipeline breakages, and other maintenance tasks. The data would be updated less frequently, reducing the freshness of the data and leading to decisions made on stale or outdated data. 

As a result of centralizing their data into BigQuery and bringing all the relevant data into one place, Deliverect has been able to build a hybrid analytics model between self-serve and custom analytics. A large portion of the company has access to common dashboards and analytics, which measure general metrics, while individual teams have access to their own specialized reports as well. This allows all teams to understand the company-wide KPIs— like orders processed per day, week, or month—cohesively and truly work in a cross-functional manner. 

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