Asana is a productivity tool that enables teamwork without email. When critical communication and task management move out of email and into Asana, teams can get more done with less effort.
Asana has built up their data infrastructure over time. They have multiple systems in place for different needs; Redshift and Hadoop, for example, handle data storage. Before using Interana, though, the company couldn’t get all the business insights they needed. They could answer “known” questions -- questions they’ve asked before -- but asking new questions required a lot of time and resources. They could identify key business metrics, but needed to know how and why these numbers were changing.
Now, Asana uses both Interana and Looker for business intelligence. What makes Interana stand out, though, is its ability to process raw event data rapidly. Let’s take a look at how this speed has benefited Asana.
Interana processes Asana’s raw event logs, allowing for row-level detail on massive raw data sets. While it might take engineers several hours to handle data, Interana can get insights in minutes or even seconds.
“We recently had a couple of engineers investigating database load for several hours,” said Prashant Pandey, Head of Infrastructure Engineering. “Our data team independently noticed a spike in metrics, and used Interana to find the root cause for the spike. Their investigation took minutes, which saved several hours of log diving for the engineers.”
With Interana, Asana can get a deeper understanding of business metrics such as growth, churn, and conversion.
“Interana makes it easy to answer questions like how many people have ever taken this action in the application,” said Pandey. “This is really hard to do in other solutions we have used, but Interana makes it trivial to dig deep into the history of customer events.”
Through rapid iteration, users can tweak queries and ask questions on the fly, which allows for constant exploration and new perspectives. Asana can explore data trends through features such as funnels, cohorts, and metrics---leading to new insights they had never thought of or seen before.
Interana has made insights available for both technical and non-technical users. It eliminates the need for complex query languages or learning new data tools, giving everyone the ability to run analytics themselves. Users from multiple departments can analyze data thanks to the simplicity of Interana’s interface, the ability to play with data in different views, and the freedom to slice and dice on the fly.
Plus, everyone can share insights across the company through dashboards. Interana’s dashboards are easy to understand and don’t need a lot of extra context; this way, everyone can be data-informed.
Asana was one of Interana’s first users, so they helped Interana improve its product during the early stages. Over the years, the two have developed a mutually beneficial relationship.
“We trust the team behind Interana,” said Pandey. “These are the people that have solved real data problems at massive scale before. The team has been super-responsive to our needs, and have turned around our requests very quickly.”
Interana fits perfectly into Asana’s data framework. It turns raw event data into fast, accessible insights. Asana has worked hard to build its data infrastructure; Interana allows everyone in the company to explore this data. Since everyone can ask new questions and share their insights, Interana helps promote continuous growth and innovation at Asana.