PROCESS

The Five Steps

Follows these practical steps for building reliable, scalable operation and maintenance analysis.

STEP 1

Know your data

Review data quality, context, and integrity across your highest priority assets.

Creates a reliable foundation for any analysis.

STEP 2

Understand your layers of analysis

Identify where setpoints, trend review, & pattern analysis each fit.

Ensures the right tool is applied at the right stage.

STEP 3

Build a process for acting on findings

Connect detections to work orders, watch lists, and defined roles.

Closes the gap between finding a pattern and acting on it.

STEP 4

Measure what changed

Establish baselines and track downtime, WO ratios, and detection rates.

Makes the value of your process visible over time.

STEP 5

Scale what is working

Expand coverage and build on what your team has learned.

Compounds value across more assets and modes.

EXECUTION

Quick Action Plan

Follow these phases to move from assessment to scaled, sustainable results.

  • Where are you collecting data today and how complete is your coverage of critical assets?
  • Which maintenance and operational processes are still primarily reactive?
  • Where do failures or inefficiencies continue to occur despite existing analysis tools?

  • Review data quality, context, and integrity across your highest priority assets
  • Establish a routine process for monitoring tag quality in your historian
  • Document the normal operating modes of your critical equipment

  • Confirm where alarm setpoints are configured and whether they are sufficient as a last line of defense
  • Identify gaps where trend analysis is missing or inconsistent
  • Evaluate whether pattern recognition is being applied to your highest risk assets

  • Define a clear path from detection to action, including work orders, watch lists, and roles
  • Document standard responses to common findings
  • Audit how findings are currently handled and where they are falling through the cracks

  • Establish baselines for unplanned downtime, work order ratios, and detection to action rates
  • Review detections and outcomes quarterly
  • Expand coverage to the next tier of assets once the process is proven

EVALUATION

Top Fives: What to Look For

Use this checklist when evaluating tools and vendors for your operations.

CHECKLIST

In a data historian

High-volume time-series data handling

Easy integration within existing environments

Secure data collection and storage throughout the system

Scalable storage and fast retrieval across the organization

Robust security and access controls for site and fleet

CHECKLIST

 In a software vendor

Deep industry expertise and real-world references

Responsive support through implementation and beyond

Methodology for your specific operating environment

Ongoing training and customer success support

Commitment to innovation, security, and sustainability

CHECKLIST

In an APR solution

Monitors signal combinations, not just thresholds

Model setup without data science expertise

Actionable insights for ops and maintenance teams

Seamless integration with existing systems

Clear visualization of developing patterns

HanAra Software is designed to address each of these criteria.

Reach out to learn how we work with operations and maintenance teams to put these principles into practice.