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Product Updates

Product update: Solve data issues faster with Automated Root Cause Analysis

Tuesday, May 14, 20243 min read
Emil Bring
We just released one of our biggest product features yet, making it even easier—and much faster—to solve data issues: Automated Root Cause Analysis. We built it by combining functionalities from our three core products: Data Quality Monitoring, Field-level Lineage, and Data Catalog. With this, you’ll even know how to prevent future issues from hurting your business where it’s most fragile.

Picture this: a row of dominoes toppling over, one nudge setting off a cascade. Now, visualize each domino as a data point in your data architecture. A single hiccup could halt your entire pipeline, throwing your team into a frenzied search for the root cause.

Sounds familiar? Hours spent poring over data, coffee cup in hand, navigating through various data warehouse layers and tables—it's like defusing a bomb without guidance. But what if there was a secret weapon to make this task easier, quicker, and more efficient? Enter Automated Root Cause Analysis (RCA), your new ally in troubleshooting.

Welcome to a world where RCA becomes less of a headache and more of an enjoyable process. Let's dive into how our latest product update can transform your approach.

Combining field-level lineage with data quality monitoring for proactive insights

Validio’s Automated RCA isn't just a tool; it's a new approach to problem-solving within complex data ecosystems. Here’s why:

Accelerate your root cause discovery

Imagine having a high-definition map of your entire data journey, with the ability to zoom in on every twist and turn. That's what field-level lineage provides: precise tracking of data as it transforms between tables, down to the field (column) level. This allows for quicker identification of which exact fields were involved.

  • End-to-end lineage: See upstream root causes and downstream impact
  • Trace issues on a field (column) level
  • Field-by-field lineage to see origin and impact of data issues

    Seamless data catalog integration

    By incorporating field-level lineage in Validio’s data catalog, you can identify errors at their source, and see useful information about each asset directly in your lineage view. You can also see data ownership for each asset or table visible in your lineage view. Additionally, our usage analytics give you a clear view of how well your data assets are being utilized in your organization. This makes it easier to know which assets to prioritize for more advanced monitoring. Higher utilized data assets often require more thorough monitoring to protect your business from issues where they can hurt you the most.

  • Utilization rate for data assets
  • See data ownership
  • Insights tab in your lineage map to understand your data

    Pair with data quality monitoring

    To make you truly capitalize on field-level lineage, we combine it with Validio’s data quality monitoring. This powerful duo ensures that you're always in the know about what's happening with your data. You'll understand exactly what issues are occurring, trace them back to their origins, and identify critical downstream use cases impacted by these issues. In essence, it's about gaining full control and visibility over your data landscape.

  • See data quality issues directly in your lineage map
  • Understand related incidents
  • Root cause analysis made easy with data quality on lineage

    Anticipate & prevent: Protect your critical assets before issues strike

    Automated Root Cause Analysis fundamentally changes the way you solve issues. It shifts your approach from reactive to proactive, helping you prevent data issues before they impact important downstream use cases. By analyzing data flows and usage, you can target critical data assets with Validio’s advanced validation to safeguard your operations.

    Adopting this strategy moves you past constant troubleshooting. Equip your team with Automated Root Cause Analysis and stop wasting time on manual detective work. Let Validio do it for you.

    Want to try it out?