Why Data Quality Alone Isn’t Enough: Prioritizing What Matters with Osprey

Introduction

In industrial operations, data quality problems aren’t a secret. Engineers, technicians, and support teams working with the AVEVA PI System know they have broken, stale, or unreliable tags lurking in the system. What’s often missing isn’t the awareness of these issues, it’s clarity on which ones actually matter.

At Tycho Data, we built Osprey not just to surface data quality problems, but to help you prioritize what’s worth fixing based on operational and business impact.

The Real Cost of Bad Data

I spent a lot of time talking to users. They shared something that stuck with me.

“We know we have data quality issues in our PI System. They have built up over years to the point where its difficult to know what tag or PI Vision display is still in use and which ones can be abandoned.”

This is a powerful insight. In a complex environment like a refinery, plant, or utility, fixing everything isn’t practical. What matters is knowing:

  • Which tags drive critical equipment monitoring
  • Which data streams inform high-consequence decisions
  • Which bad data exposes your business to downtime, safety risks, or lost production

Data quality alone doesn’t tell you that. Impact does.

How Osprey Helps Prioritize What Matters

Osprey goes beyond flagging broken data tags. It links data quality issues to:

  • Specific assets and equipment in your PI AF hierarchy
  • PI Vision displays and AF Analyses that rely on those tags
  • The business processes and financial outcomes those systems support

This allows engineers and managers to see:

  • Which issues impact critical processes
  • The cost or risk associated with bad data
  • Which tags can be safely retired without operational consequence

It’s a smarter, impact-driven way to manage PI data health.

Why Prioritization Matters

For many industrial companies, fixing all known data issues would be cost-prohibitive.

That’s where Osprey fits in:

  • Fix the 20% of issues causing 80% of your operational risk
  • Retire legacy or unused tags to declutter your system
  • Focus on the data that protects uptime, safety, and profitability

It turns vague data quality problems into actionable business decisions.

The Value Proposition of Osprey

  • Know where your data problems are, and why they matter
  • Tie broken tags directly to equipment and business outcomes
  • Prioritize fixes by operational risk and financial impact
  • Make decisions about retiring or maintaining tags with confidence
  • Focus your resources on the issues that actually affect plant performance

Closing

Your PI System doesn’t need perfect data. It needs the right data to be reliable.
Osprey helps you identify which problems deserve attention and which can safely wait.

If you’re interested in seeing how this works, we offer starter packages to baseline your PI environment and help you pinpoint your highest-impact opportunities.

Ready to Take Control of Your PI Vision Environment?

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