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DataOps™

The Data Solution That Watches And Runs Itself, For You

DataOps™ is JBS’s managed data observability platform that continuously monitors your data pipelines for failures, drift, freshness issues, and rule violations, routing incidents to the right owners. Running inside your cloud environment, it keeps your data secure and your team in control.

Book a Consultation
DataOps™

The Data Solution That Watches and Runs Itself, For You

DataOps™ is JBS’s managed data observability platform that continuously monitors your data pipelines for failures, drift, freshness issues, and rule violations, routing incidents to the right owners. Running inside your cloud environment, it keeps your data secure and your team in control.

Book a Consultation
What DataOps™ Is

A Continuous Data Reliability Operation
That Needs No Constant Attention.

Most enterprises have pipelines, dashboards, and alerts. What they lack is a data operation that continuously monitors itself to detect drift, pipeline failures, and rule violations before they impact the business. DataOps™ is that solution. It watches your data estate continuously across four areas, then acts on what it finds.

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Freshness Monitoring

Checks whether every table arrives on schedule based on the SLA you define, and alerts you when it doesn't.

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Rule Checks

Validates business rules against your data, with every check versioned and fully auditable.

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Schema Drift Detection

Flags column additions, type changes, and precision shifts before they affect downstream models.

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Pipeline Failure Detection

Detects pipeline failures as they happen, before they affect outputs or business reports.

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The Result

Data issues are detected, routed, and owned before they reach reports or impact business users.

The Challenges You're Up Against

Data breaks quietly, and most teams don't find out until it's already too late.

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Detection Comes Too Late

A broken report reaches the business before the data team knows about it, leaving issues to be found after they have already caused impact.

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No Single View of Data Health

Teams check alerts, queries, and messages across different places, with no single view showing whether all critical data is healthy.

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Recovery Is Hard to Prove

When data breaks, recovery time is often anecdotal, with no reliable record for leadership, compliance, or audit requirements.

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Alerting and Security Fall Short

New alerts require engineering effort, while external observability tools can fail security reviews when data must stay within your environment.

How DataOps™ Works

A System That Checks Your Data And Routes Problems Without Being Asked.

Five intelligent agents work together to transform your application requirements into continuously validated, automated, and audit-ready quality engineering.

01
CONTINUOUS CHECKS

Monitors Data on Schedule

Freshness, schema, pipeline, and rule checks run on independent schedules suited to each table or pipeline.

02
AUTOMATIC INCIDENTS

Detects and Tracks Issues

Late tables, schema changes, failed pipelines, and rule violations automatically open tracked incidents.

03
ROUTED TO THE RIGHT OWNER

Sends Issues to Your Team

Incidents reach the ticketing and messaging tools your team already uses, including Jira and Teams.

04
FULL CONTEXT INCLUDED

Shows the Full Impact

Every incident shows the affected data, downstream reports, owners, and when the issue was first detected.

CHECK → DETECT → ROUTE → RESOLVE
What Changes

What This Means For Your Data Operations.

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Detection Moves Earlier

Issues surface while they are still fixable, before broken reports reach downstream business users.

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Ownership Becomes Visible

Every incident shows affected reports and owners, making responsibility clear to the right teams.

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Recovery Is Traceable

Detection and resolution use real timestamps, creating a reliable record of recovery in full.

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Alerting Becomes Flexible

New notification channels can be added through configuration, without requiring engineering work.

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Compliance Evidence Stays Continuous

Rule checks remain versioned and auditable, limiting evidence gathering before reviews.

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Compliance Evidence Stays Continuous

Rule checks remain versioned and auditable, limiting evidence gathering before reviews.

FORECASTING INTELLIGENCE

Impact in Action

Explore real-world engagements where JBS has helped organizations establish structured operating models and keep mission-critical platforms performing after go-live.

View Case Studies
Why DataOps™

Why Enterprises Choose DataOps™

The safest way to watch sensitive data is to never move it.

  • Runs inside your own cloud environment, across any major provider, with no separate vendor cloud involved.
  • Read-only by design, accessing only the data needed for checks without exporting raw data elsewhere.
  • Adds nothing new to secure, with no additional data copies or new attack surfaces for your security team.
  • Delivered as a managed outcome, with JBS deploying, configuring, and continuously operating the platform for you.
Why DataOps™

Why Enterprises Choose DataOps™

The safest way to watch sensitive data is to never move it.

  • Runs inside your own cloud environment, across any major provider, with no separate vendor cloud involved.
  • Read-only by design, accessing only the data needed for checks without exporting raw data elsewhere.
  • Adds nothing new to secure, with no additional data copies or new attack surfaces for your security team.
  • Delivered as a managed outcome, with JBS deploying, configuring, and continuously operating the platform for you.
FAQ

Answers For Enterprise Leaders

  • What is DataOps?

    A managed data observability platform from JBS that continuously checks freshness, schema, pipeline health, and business rules across your data estate, and routes what it finds to the right owner.

  • Who is it for?

    Enterprise teams running production pipelines that feed real business decisions, especially where data reliability has compliance or reporting stakes.

  • Which cloud does it work with?

    Any major cloud environment. DataOps deploys inside your own tenant rather than requiring a specific provider.

  • Where does our data live?

    Inside your own cloud environment. DataOps reads what it needs to check and never exports raw data elsewhere.

  • Does it work with the tools we already use?

    Yes. DataOps integrates with the ticketing and messaging platforms already in place, such as Jira and Teams, so incidents route to existing workflows.

  • What do we get as evidence?

    Every check is versioned, every incident is timestamped, and every rule violation is auditable, giving you a continuous record rather than something assembled under deadline pressure.

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Ready to See What DataOps™ Finds in Your Environment?

Get a quote to see how DataOps™ would watch your specific data estate, and what it would catch that today goes unnoticed until it's too late.

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