"Datacoral has become an essential piece of our data infrastructure"

Greenhouse Software is an enterprise talent acquisition suite that uses intelligent, data-driven guidance to automate the hiring process and shorten time-to-hire.

The Challenge

To get a better understanding of customer engagement the data scientists at Greenhouse were pulling information out of the product database. With no centralized data repository, the process was time consuming and required writing back end code to parse the data—code that would need to be updated with each new parameter request.

The Solution

Instead of hiring additional data engineers, Greenhouse turned to Datacoral. Greenhouse used Datacoral to build a data infrastructure that pulls in data from the Greenhouse production database as well as Jira, Zendesk and Salesforce, then combine them with events received from the Greenhouse website and app. Greenhouse then equipped their application and APIs using Datacoral’s instrumentation libraries and Events Slice, which gave them the ability to understand the behavior of customers using their product. Once all of the data was in one place and Greenhouse had established the needed dashboards, the data science team used their analyses to make the rest of the organization smarter by publishing the analysis to Totango, a customer success product.

Aaron Gibralter

Director of Engineering, Greenhouse

"The datacoral infrastructure manages our entire backend data flow from collection from many sources, to analysis, to publishing back to the organization, allowing our data science team to deliver value to internal and external customers without worrying about tedious data plumbing."

The Result

Thanks to the Datacoral implementation, the customer-facing division of Greenhouse now has access to information like churn likelihood and product usage. Executive and sales teams can see the big picture of product usage and customer engagement. By standardizing their data pipeline, and automating monitoring and provisioning, Datacoral frees the engineering team for low level coding, saving time, reducing costs, and streamlining operations. Greenhouse data scientists can leverage their analysis so they can add real strategic value.

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