Hear from the leaders defining the most impactful movements in data
A half-day event featuring data leaders pioneering the technologies, processes, and culture shaping data engineering and analytics.
Create a real IMPACT with data
As businesses increasingly rely on data to drive better decision making and maintain their competitive edge, it’s mission critical that this data is accurate and reliable. Simultaneously, companies are ingesting more data than ever before, with data systems becoming increasingly complex.
But what does it take to trust your data?
Join today's leading data pioneers as they share key strategies to make a real IMPACT with your data at the industry's first-ever Data Observability Summit!
Road to Impact
A three-part event series leading up to The Data Observability Summit
How to Build Your Dream Data Team
Tuesday, October 5, 2021, at 9 am PT
Building your data team? There’s not a one-size-fits-all approach, but with the right culture, people, and processes, modern data leaders can lay the foundation for success at scale. During our latest event on the road to IMPACT, learn from some of today’s most impactful data leaders about how they’ve built and scaled thriving data organizations from the ground up.
Hear the discussions among data leaders from Hubspot, Better.com and about what it takes to build and scale your data team.
During this session, you’ll learn:
- How some of the top data leaders are structuring their data teams
- What roles to hire for first
- How to manage and scale processes with data trust in mind
How Clearcover Drives Data Trust
Learn how Clearcover, a leading auto insurance provider, drives smarter insurance choices for their customers by data-driven decision-making and product development.
Ask The Experts
“Data teams often overlook the bigger picture around data reliability; that’s the missing piece to unlocking the full potential of your data.”
“It’s critical to have clean and reliable data to get the most value from your insights. Especially as companies grow and more people are using the data, having an error in a key metric can lead to many bad decisions and bad algorithm recommendations.”
“It doesn’t matter how advanced your data infrastructure is if you can’t trust your data reliability.”