When Data Trust is Mission Critical: Ensuring Operational Reliability With Validata

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Sometimes data quality is much more than a nice-to-have: it’s the difference between routine and disaster. Such as in 2023, when a single data error stemming from a faulty flight plan disrupted flights in Europe, costing airlines $126.5 million.

In other sectors, like financial services, the risk of bad data isn’t just costly; it’s often silent. According to research by IBM, in 2024 financial organizations took an average of 168 days even to identify a data breach, and 51 days to contain it.

Modern enterprises need more than governance. They need always-on, operational control designed to detect inaccuracies, silent data drift, and omissions, before they snowball into downstream impact.

The Challenges of Safeguarding Reliability at Scale

  • The Scale of Enterprise Data Movement: Modern data platforms run thousands of CDC and batch jobs every minute. Manual spot checks can’t keep up with the sheer volume of data that needs to be verified.
  • Silent Data Drift: Validation failures are often silent and fly under the radar. When teams only discover inaccuracies when the damage is already done, the result is a state of panic and firefighting.
  • Infrequent Validation: Since full-table comparison for every run is slow and expensive, teams can only afford to validate occasionally, leading to gaps in observability and lower overall confidence.
  • Replication False Positives: In-flight records in continuous replication are often mis-classified as mismatches, generating false positives that waste triage time from governance teams.

How Validata Enables Always-On Operational Control

Validata’s continuous validation loop lets teams move from ad hoc checks to a system for always-on control.

With recurring schedules (hourly, daily, weekly), interval-based validations on recent changes, in-flight revalidation, and real-time notifications that immediately alert engineers to any data discrepancies, Validata turns validation workflows into a governed, automated control loop embedded in day-to-day data operations.

With continuous reliability from Validata, enterprises can:

  • Limit outages, broken dashboards, and customer-facing issues caused by silent data problems.
  • Decrease incident and firefighting costs as teams spend less time in war rooms and post-mortems.
  • Ensure adherence to internal and external SLAs for data freshness and correctness.
  • Gain clearer ownership of data reliability across data engineering, platform, and business teams.
  • Give downstream teams complete confidence they’re working with trusted data.

The Benefits of Ensuring Operational Reliability with Validata

With a continuous, always-on validation system in place, reliability becomes a daily reality, not a manual task.

Validata was built to enable teams to move beyond firefighting to restore confidence in their data, in real time, at massive scale.

  • Move beyond one-time validation. Set up recurring validation schedules, right in the Validata UI and configuration model.
  • Leverage interval validation to save compute costs. With interval validation, for live pipelines, you can validate only the records changed within a time window (e.g., last 2 hours).
  • Validate data in-flight to confirm whether initial mismatches remain or resolve, reducing false positives.
  • Gain an always-on guardrail with threshold-based halt logic: a system that automatically stops runs when mismatch rates spike, such as with misaligned mappings or incomplete/failed replications.
  • Set clear expectations around reliability for business stakeholders, backed by scheduled checks.
  • Focus on meaningful work, such as higher-value pipeline and model improvements instead of spending time on validation plumbing and scripting.

Three Ways to get started with Validata

With a continuous, always-on validation system in place, reliability becomes a daily reality, not a manual, last-minute effort.

The next silent data drift issue doesn’t have to become a $126 million problem. Here’s a few ways to get started.

  • Dive deeper into the technical details. Learn more about Validata’s architecture, the systems it supports, and the best ways to deploy Validata in your environment, via our documentation.
  • Book a demo. Get acquainted with Validata’s UI, see Validata’s intuitive configuration engine, and experience first hand how Validata delivers total data confidence with a personalized demo.
  • Meet the team. Book time with our engineers to discover how Validata will build trust in your data and AI initiatives.