Product demo. 
3 Steps to AI-Ready Data 
What is a data mesh--and how not to mesh it up 
The ULTIMATE Guide To Data Lineage Monte Carlo for media and entertainment.
Start trusting your recommendation models, third-party data streams, and more with data observability.
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Learn how Comcast scales data reliability across billions of daily transactions
Data stack
Challenge
- Inability to ensure advertisements achieved impression goals to drive revenue for clients
- Need for single source of truth during Databricks lakehouse migration
- Lack of visibility into when new third-party data sources were added, and what data quality metrics should be associated with those objects.
Solution
- Automated data quality checks on every new data source and table added to the warehouse.
- Lineage graphs to show relationships between tables and fields.
- Monitors covering a variety of data quality metrics, such as % of null values.
“Having up-to-date data is critical to ensuring we can quickly respond to changes in campaign pacing and can adjust our delivery strategy to recapture revenue at risk.”
Juliette Jones Sr. Director, Media Operations
Use cases.
Forecast sales with confidence.
Use your historical data to understand when and where to buy and sell more advertising space.
Improve ROI on consumer acquisition.
Grow your user base with accurate insights into your highest and lowest performing channels.
Reduce customer churn.
Drive reliable content performance analytics to inform your marketing roadmap.
Generate accurate ad reporting.
Generate trustworthy reporting on audience engagement with trustworthy data for advertisers.
“Data observability has become a necessity, not a luxury, for us,” said Alex. “As the business has become more and more data-driven, nothing is worse than allowing leadership to make a decision based upon data that you don’t have trust in. That has tremendous costs and repercussions.”
“One of the things that helps us is we’re getting fancy reports which for me is a get out of jail free card. Now, whenever someone comes to me and says ‘hey the data is bad,’ I can find out where the data is bad and say ‘well you all haven’t been responsive to alerts for the past month, obviously its bad.'”
Out-of-the-box coverage across all your data tables, opt-in monitors for key assets, and monitors-as-code.
Don’t just sound the alarm when data incidents occur. Empower your data teams to resolve incidents in minutes.
Rich insights enable your team to proactively ensure data quality, and make better infrastructure investment decisions.