Clever is best known as the platform that powers technology in the classroom. Schools and apps connect on Clever to put learning software in the hands of students, helping teachers reclaim valuable classroom time. Clever automates data integration for apps and simplify logins for students and teachers, removing obstacles that have blocked technology use in the classroom.
As Clever’s user base grows in size with educators and school administrators, the company’s own data grows exponentially alongside it. To store its data, Clever uses MongoDB as its main storage source and Amazon Redshift to store business analytics, event data and any additional data that needs to be accessed via SQL.
With user growth and an influx in data, the data team at Clever needed a solution that would allow them to filter through the large database and give their users more insights and clues into how effectively educators and school administrators were using the platform.
As a data-driven company, we needed an analytics solution that could empower our team and users by giving them access to data to make their own decisions.
—Colin DuRant, Product Manager at Clever
“As a data-driven company, we needed an analytics solution that could empower our team and users by giving them access to data to make their own decisions,” said Michael Cai, Product Manager.
Enabling Data Discovery
When Clever found Chartio, the team was immediately impressed with its ease of integration with Amazon Redshift and the flexibility of configuring visualizations that allowed everyone to analyze data at a high-level and to drill down for deeper insights.
In democratizing data, it ensured that no one would make a decision in the absence of data. When you give people access to data, you are automatically enabling them to make better decisions.
—Colin DuRant, Product Manager at Clever
“In democratizing data, it ensured that no one would make a decision in the absence of data. When you give people access to data, you are automatically enabling them to make better decisions,” said Colin DuRant, Product Manager.
Clever has given everyone at the company datasource access via Chartio. With that, everyone can create dashboards and reports based off the same datasource set with transparency and reproducibility.
Without Chartio, the Customer Solutions team would not be able to identify trends in their ticket data, formulate a hypothesis and confidently share their findings with the product team–which then helps product prioritize features.
In enabling everyone to rely on data, it has broken apart the longstanding divide between data analysts and everyone else. The impact of Chartio was widespread from those with technical backgrounds to non-technical backgrounds.
Seasoned data experts gravitated towards Chartio because it allowed them to upload their personal data sets and merge it with company data sets all in one place. Others at Clever found Chartio valuable because it allowed them to leverage the analytics built by its data experts, and to expand upon it with their own data discovery.
Much like Clever’s own product, Chartio has enabled those with non-technical backgrounds to discover capabilities outside their experience or comfort zone just by using Chartio’s drag and drop interface.
“Before Chartio, if you needed a report for a customer, it could take up to a week and require help from an engineer to write SQL. Now, everyone is able to use Chartio and pull together reports in real-time,” said Colin.
Today, 90% of Clever is actively using Chartio and power users have created an internal group called the “Number Munchers,” a reference to the educational computer game that taught children about numbers. The Number Munchers operate a Slack channel where they share reports that they’ve created and further support each other in discovering new ways to analyze data.
In addition to the Slack channel, Colin and fellow Number Munchers host office hours to facilitate conversations and train their colleagues on Chartio best practices.
“The value in the Number Munchers is bringing data into every conversation and teaching our colleagues how to access data, so they can immediately get all the insights,” said Colin.