Data Leaders Are Tired of Firefighting—Here’s How AI Can Help

Broken dashboards, missing records, and inaccurate reports can disrupt everything from executive decisions to AI models. Yet, most data teams are still stuck reacting to problems rather than preventing them.

If you’re a data leader, you know the drill: a business stakeholder emails you. One of their dashboards is broken again. The analytics team scrambles to diagnose the issue, looking at the dashboard configuration, running SQL queries, looking at ETL job code. Hours later, they figure out where the problem is coming from.

The whole time your stakeholder was stuck waiting and wondering. When is it going to get it fixed? How do we know this won’t happen again?

The Problem: Lots of Alerts, Not Enough Answers

Data observability tools promise to tell you whenever something is wrong in your pipelines. Your team is more aware than ever of how often things break, but they’re struggling to stay on top of it all. Even with root cause analysis showing where an issue originates, the person responding to the alert still has to figure out what to do in order to fix it.

Data teams don’t want more alerts. They want fewer problems. They want to spend less time fixing issues and more time building the pipelines and data products that the business needs to get things done.

The Shift: From Smoke Alarm to Fire Extinguisher

We want to help teams solve problems faster. So we built bigAI to assist incident responders in rapidly understanding what’s happening, and helping them fix it faster.

bigAI doesn't just detect problems. It investigates them, determines what’s wrong, and helps your team take action. Instead of leaving engineers to piece together clues, it delivers straightforward summaries of what’s happening and what the potential causes are. Then, it generates recommended resolution steps to help the responder start taking action fast.

It combs through past issue resolution history and metadata about the current problem. It analyzes upstream ETL job code to look for errors. It analyzes data in the impacted table to spot patterns and correlations that help explain the anomaly. And it does all of this in a secure and private architecture that’s fully ISO 27001 certified.

Prevention: The Holy Grail of Data Quality

We weren’t satisfied with just helping responders fix problems fast. We want to help them stop problems from occurring in the future.

bigAI’s ETL code analysis capabilities allow it to suggest proactive improvements to job code that can preempt issues from happening in the first place. It can recommend best practices like indexing strategies, reductions in unnecessary data transfer, join optimization, clever use of materializations to eliminate re-computation, improved use of predicates, and more.

We call these Preventions and they can now be accessed directly inside Bigeye’s data catalog, or viewed on the Lineage graph. Every time data engineers apply Preventions, bigAI will remember and recommend better ones to them in the future.

Making Life Better for Enterprise Data Leaders

With bigAI, data leaders can go beyond data observability. They no longer simply know about every problem, they have automation to help them act on them and prevent them. They can drive down mean time to resolution, prevent future pipeline failures, and build trust in data across the business.

Their team members no longer have to manually identify fixes to every problem because they always have a fully context-aware AI helper to give them a boost in any situation. And that frees them up to do the true value-additive work they were hired to do.

AI That Works for the Enterprise

bigAI is designed for enterprise-grade security and privacy requirements. Customer data is kept fully private, is never used for model training or tuning, and respects existing permissions settings for viewing row-level data within the platform. Bigeye is proud to have attained both SOC 2 Type II and ISO 27001 certifications, and bigAI maintains full compliance with these.

Ready to Go Beyond Observability?

Tired of data observability just giving your team more work to do? bigAI is ready to help your team solve real problems faster and prevent them from happening at all. It is available now in private preview for all customers. Reach out to your customer success representative to get early access.

Want to see how AI can transform your approach to data reliability? Get your personalized demo here.