Self-serve analytics is the dream of any data & analytics team: reaching that point where everyone in your company is leveraging data to answer day-to-day questions and make decisions without requiring your team’s help. How to get and stay close to this ideal state as your company keeps growing with an expanding variety of data expertise and data needs?
Discover how the data & analytics team at Datadog built, on top of open-source technologies such as Airbyte or dbt, a suite of entirely self-serve analytics tools empowering everyone to make data-informed decisions, as we grew from 200 to 5000 global employees in just a few years. We will dive into the entire suite of tools we made self-serve: data intake, transformation, data discovery, data quality, data governance, and reporting.
Learn how we scaled up and overcame obstacles that came with that exponential growth.
Whether you're a startup or an enterprise, no matter what your data tech stack is, you will leave this talk with concrete, actionable insights and strategies you can apply in your journey toward self-serve analytics at scale.
Jean-Mathieu Saponaro is an engineering manager in the Data and Analytics department at Datadog. JM joined Datadog in 2015 when it was a startup of 100 employees. As the founding member of the Internal Analytics team, he served alternatively as Data Analyst, Analytics Engineer, and Data Engineer before taking on leadership roles. Today JM is leading the teams enabling self-serve analytics within D...