What this resource helps you evaluate
reliability teams using condition data to identify developing failures comparing two or more Predictive Maintenance Platform options side by side.
Use the same scenarios, data and scoring rules for every predictive maintenance platform vendor. This reduces demo bias and makes commercial trade-offs visible.
What to compare first
- Coverage of sensor ingestion, feature monitoring, alerts, diagnosis and maintenance response
- Integration, data ownership and reporting needed by reliability teams using condition data to identify developing failures
- Implementation effort, support model and total lifecycle cost
- Security, auditability, permissions and recovery requirements
- Evidence from a pilot using representative monitored assets
- Contract term, price escalation, implementation assumptions and exit rights
Step-by-step process
- 01
Create one weighted comparison matrix before vendor demonstrations.
- 02
Give every vendor the same scripted use cases and data assumptions.
- 03
Record gaps as configuration, integration, customization or unsupported functionality.
- 04
Score implementation risk and operating fit separately from product features.
- 05
Reconcile the scorecard with the full commercial proposal before selection.
Common mistakes and risk checks
- buying analytics before instrumentation quality and response workflows are established.
- Comparing headline license price without implementation, integration, migration and support cost.
- Scoring demos instead of validating the highest-risk workflows with real data and users.
Documents and evidence to collect
- Current process map and pain-point log
- Requirements and integration inventory
- Representative data samples and master-data definitions
- Security, access and retention requirements
- Implementation assumptions, timeline and commercial quote
- Completed vendor scorecards and gap register
Questions to ask vendors
- Can the vendor demonstrate sensor ingestion, feature monitoring, alerts, diagnosis and maintenance response with our representative data?
- Which capabilities require paid modules, services or third-party products?
- What data can we export in a documented format if we leave?
- What implementation work is performed by the vendor versus the customer or partner?
- How are support response, releases, backups and security responsibilities defined?
Primary and official references
Use current official sources to validate requirements that affect your project, industry or jurisdiction.