Scaling Analytics as your Company Grows
Analysts are a bottleneck, they can't answer all the questions that are coming from their business users
Business users are heavily dependant on their analysts, as a result, when the analyst is not available they either wait for a long time or act according to their gut feeling
Analysts are feeling frustrated because they are underutilized. Most of their tasks require simple querying and dashboarding while they want to do data science
Does any of these sounds familiar? then you should join this talk.
Back in the days, when Atlassian had only a few hundreds of employees, we used to hire analysts to help the business teams with insights generation. As we grew, we hired more of them, but we came across these problems and we realized that this approach is not scalable.
During this talk, I will show how we solved these problems. We will see the Atlassian journey towards self serve analytics and data-driven culture.
Outline/Structure of the Case Study
- I will start by talking about the Atlassian analytics journey, including how we grew, and how data teams evolved over the years
- I will talk about the challenges we faced ~2 years ago when we realized that we cannot continue with our existing model and we must do a change
- In the main part of the presentation, I will talk on how we scaled analytics in Atlassian (within the context of the data engineering org):
- Add the business users to the pool of our personas - buy and build tools which serve the business users directly and not the analysts
- Data discoverability - Make it easy to look for data and for metadata
- Increase trust in data - different techniques we use to increase the trust (e.g quality traffic lights, table usability score and more)
- Training - we developed the "Atlassian Data University" with the goal of educating our users, but as a side effect, we received a vibrant data community
The audience will understand how you can scale analytics in the organization, drive a self-serve data culture and increase business insights generation
Anyone interested in how to create a data driven culture
Prerequisites for Attendees