Introducing Bigeye’s New Lineage-Enabled Workflows: Helping You Resolve Data Incidents Faster

Effortless issue resolution just got easier.

For data engineering teams, staying ahead of issues means having the right tools to prioritize and resolve problems with precision. Otherwise, it’s all too easy to waste hours chasing down a solution while deadlines loom. 

That’s why we’re launching new lineage-enabled workflows designed to tackle some of the most common challenges data engineering teams face. Powered by Bigeye’s lineage graph, these updates use downstream impact to prioritize issues, helping data engineering teams focus on what matters most—resolving critical problems quickly, working more efficiently, and building trust in their data pipelines.

What These Workflows Will Do for You

These new features are designed to transform how you approach data reliability by turning insights into action. Here’s what they’ll help you achieve:

• Work smarter, not harder: Instantly identify the root causes of issues so you can address problems that fix multiple downstream errors in one step. Spend less time hunting for the source and more time resolving issues.
• Accelerate your workflows: With root cause icons, default sorting, and actionable links, you’ll move seamlessly from identification to resolution, reducing mean time to resolution (MTTR) and saving valuable engineering hours.
• Gain control over issue impact: Clearly see how issues affect downstream reports, tables, and other data assets, enabling you to prioritize based on what’s most critical to your business.
• Communicate with confidence: Know which teams or stakeholders are impacted by an issue, so you can proactively manage expectations and avoid surprises.

With that in mind, Bigeye’s advanced lineage capabilities now power two new workflows– Show, Sort, and Filter by Root Cause and Root Cause Analysis & Impact Analysis, alongside an Informed Priority feature. 

Here’s what they bring to the table: 

Root Cause Navigator: Show, Sort, and Filter by Root Cause

When data engineers sit down to tackle pipeline issues, they want to focus their efforts where it matters most: the root cause. But identifying those critical starting points can be time-consuming and challenging.

With Root Cause Navigator, users can:

• Spot root cause issues instantly with a new icon and default sorting that brings them to the top of the list.
• Filter out non-root causes to reduce noise and tackle the most impactful issues first.

This streamlined approach helps teams prioritize fixes that resolve multiple downstream problems, optimizing time and effort.

Pro tip: Take advantage of Bigeye’s advanced lineage to ensure root causes are surfaced accurately by adding monitors and refining lineage connections.

Impact Insights: Root Cause & Impact Analysis

Understanding a root cause is just one piece of the puzzle. Data teams also need to grasp the downstream effects of an issue to make informed decisions.

The Impact Insights workflow enables teams to:

• Quickly identify upstream root causes directly affecting an issue.
• See downstream impacts on reports, tables, and other data assets.
• Understand which owners or stakeholders might be affected and take proactive measures.
• Navigate seamlessly between impacted objects with actionable links to Bigeye’s catalog and lineage graph.

This level of visibility empowers teams to resolve issues faster, minimize disruptions, and communicate effectively with impacted business stakeholders.

Informed Priority: Downstream Impacts & Adjustable Priorities

In addition to workflow updates, Bigeye is introducing Informed Priority, a feature designed to help teams identify and act on the most critical issues.

With Informed Priority, users can:

• Understand impact at a glance: View the number of affected tables and reports alongside the traditional priority score.
• Customize priorities: Adjust issue priority levels manually to align with your team’s goals and focus.

This feature ensures teams can act quickly on the most critical issues, backed by Bigeye’s lineage graph for precise impact visibility.

How Bigeye Stands Out 

Bigeye takes a lineage-first approach to data observability, using cross-source, column-level lineage to provide actionable insights directly in your issue feed. While other platforms might require users to dig through layers of alerts or dashboards to understand downstream impacts, Bigeye surfaces this information where it matters most– at the issue level. 

Ready to Experience Effortless Issue Resolution?

Simplify your data observability process with workflows designed for seamless triage and resolution. Contact your Bigeye Customer Success Engineer or request a demo today to see how.