It’s time for Summer Community Days, Vol. 1
2 days of building better data knowledge July 28 & 29 (virtually)
Ready to go?
Grab your seat
Summer Community Days a two-day virtual, practitioner-first conference hosted by the Operational Analytics Club featuring community expert sessions, keynotes, data hackathons, and local IRL happy hours in major US cities. You’ll leave the event an OA expert in technical- and business-focused subjects alike (and have some new friends, too).
As part of our Summer of Data, we’re bringing you sessions from the data practitioners you know and love, as well as new perspectives to help you level up your data career and best practices. Whether you’re new to the space, a seasoned professional, or somewhere in between: There’s something for you.
Bonus: After we wrap up on day two, we’re hosting happy hours across the US to help our community members network in their local communities, too! 🍾
Here’s where we’re celebrating IRL after Summer Community Days July 29 🌐
- San Francisco, CA
- Brooklyn, NY
- Los Angeles, CA
- Chicago, IL
- Denver, CO
Ready to go? Grab your spot for Summer Community Days 🚀
Register for Summer Community Days and get on the list to learn more about our speaker lineup and IRL happy hours.
Pick your own (data learning) adventure
Our schedule is split into two parts: Technical deep dives and business drivers.
Lane one: Technical deep dives
- Use case workshops: This track showcases popular and inspiring use cases from our community, plus some well-earned second-hand gold.
- New tools 101: Want to learn more about that fancy new tool all your friends have been talking about? Trying to evaluate a new vendor, but don’t know where to start? This track offers in-depth starter’s guides to some of the best tools in the Modern Data Stack.
- The mental process of modeling considerations: Want to learn more about building effective models for lead scoring, customer 360, and more? This track focuses on modeling considerations and best practices to save you headaches, time, and $$$ as you operationalize your data.
- How your data stack stacks up: Need some inspiration? This track features an all-star lineup of cutting-edge, modern stacks from our community (as well as a breakdown of what went into their architecture, and lessons learned).
Lane two: Driving data in business
- Crafting successful data careers: Everyone’s journey looks a little different, but we can all learn from each other. This track focuses on how folks broke into data, how their career has changed over time, and how they’ve continued to learn and evolve in new roles.
- Building and managing high-impact data teams: Are you a new manager? A seasoned data team leader looking to learn from your peers? A data team of one trying to scale? This track is for, featuring hard-won lessons to help the next generation of data leaders build bigger and faster.
- Taking your seat at the table: Operational Analytics is all about giving data teams the seat they deserve at the organizational table, but the work doesn’t stop there. Stakeholder management, internal data enablement education, and a myriad of complex people-oriented initiatives await data teams beyond day 1. Talks in this track will cover how to champion data throughout your organization and broaden the data team’s sphere of influence.
- Taming the chaos: Need some advice on tackling data governance at your organization? Looking for a bomb proof discovery process for uncovering stakeholder needs? Curious what the perfect balance of DataOps best practices (or some other best practice framework) is? Sessions in this track can answer your questions (or at least point you in the right direction).
Call for proposals: Come share your unique expertise
Got something you want to share with your community? A topic or best practice that you frequently educate about internally? Something you wish someone had presented when you were just starting out? We’d love to have you.
We’re taking submissions for 30-minute presentations on any of the topics above. The deadline for submitting is June 30 at 11:59 pm PT. For full details (including a breakdown of the support you’ll get to develop your talk), check out our submissions page. 👇
We’re taking submissions for 30-minute presentations on any of the topics above. The deadline for submitting is June 30 at 11:59 pm PT. For full details (including a breakdown of the support you’ll get to develop your talk), check out our submissions page. 👇
Here's our lineup this Summer
Schedule TBD (will be released early July after we close our speaker submissions)
Cool Data Expert
Thought Leader
Awesome Speaker
Maybe You!
Frequently asked questions
Got something you want to share with your community? A topic or best practice that you frequently educate about internally? Something you wish someone had presented when you were just starting out? We’d love to have you.
We’re taking submissions for 30-45 minute presentations on any of the topics above. The deadline for submitting is June 30 at 11:59 pm PT. For full details (including a breakdown of the support you’ll get to develop your talk), check out our submissions page. 👇
We’re taking submissions for 30-45 minute presentations on any of the topics above. The deadline for submitting is June 30 at 11:59 pm PT. For full details (including a breakdown of the support you’ll get to develop your talk), check out our submissions page. 👇
A: Analytics engineers, data engineers, data analysts, and data-minded ops leaders.
A: We’ll have the speaker schedule out in the first week of July.
A: Nope - we believe community knowledge should be free.
A: Yup! All of our sessions will be available on demand after the conference.
A: After you register for the conference, we’ll send you a dedicated link to select which happy hour you’d like to attend.
A: Nope to both (though we hope you’ll join us in Slack for our pre-conference activities and AMAs with speakers during Community Days).
Not already in the OA Club? Find your cohort
Join the community to get access to some of the brightest minds in data, learn the skills needed to support the future of operational analytics, and get support for the tools powering the future of data.
