Two ways to evaluate DBR77 IIoT: a demo and a pilot.
A demo with sample data shows how statuses, alerts and tasks work. A pilot on your own machines measures what they change in downtime and response time.
The Difference
Two entry points with different jobs
Many teams use both. Problems start when a demo walkthrough is treated as proof from the plant, or when a pilot is run like a product tour.
Demo with sample data
The demo helps your team understand the product: statuses, dashboards, alerts, tasks and operator views, and how they fit together.
A video walkthrough or an interactive environment
Sample data for downtime, alerts and tasks
Operator, supervisor and management views in one walkthrough
No installation, no hardware and no machine wiring
A quick check of workflows, roles, dashboards and reports
Best for aligning operations, IT and management
On-site pilot with real machines
The pilot is a physical deployment on 1 to 3 workstations or one line, with real production data from your plant. Measured losses replace assumptions.
Pilot kit installed: Status Deck and/or Data Hub, optionally Vision
Connection to selected machines, workstations or one line
Dashboards, alerts, machine states and downtime reasons configured
A measured baseline for OEE, stops and response time
Real plant data instead of sample data
A final report with losses, root causes and a scaling recommendation
Side-by-Side
What changes between the two
What you get from each step and what kind of evidence it gives you.
| Topic | Demo | Pilot |
|---|---|---|
| Purpose | Check workflows, usability, dashboards, roles and reports. | Measure the operational effect with real devices, operators and production data. |
| Environment | Sample data, no installation. | On-site installation of the pilot kit on selected machines. |
| Speed to start | The fastest way to start. | Needs planning, an installation window and an agreed pilot scope. |
| Best for | Aligning stakeholders and understanding the product quickly. | Validating the business case, setting a baseline and deciding on scale-up. |
| Evidence level | Functional proof. | Operational proof. |
| Typical output | A clear view of what the system does and which roles use it. | Measured losses, first improvements and a scaling recommendation based on plant data. |
Compared with Other Approaches
How this maps to common evaluation approaches
Plants usually meet three kinds of evaluation when they look at IIoT and machine monitoring.
Simulated cloud environments
Common in industrial AI and IIoT platforms. They show features quickly but do not prove what happens on your own machines and shifts.
The DBR77 IIoT demo is for understanding the product. Proof comes from the pilot.
Self-install SaaS trials
Common among machine monitoring vendors. Quick to start, but often limited to machine data or OEE visibility.
The DBR77 IIoT pilot also covers the response loop: stop reasons at the machine, alerts with owners and measured response times.
Consulting-heavy pilots
Useful for complex plants, but slow, expensive and hard to compare with a simple product demo.
Demo first, then a pilot on 1 to 3 workstations or one line, then a scaling plan based on the pilot report.
Decision Guide
When to use which path
The right entry point depends on what your team needs to validate first.
Choose the demo if you need a quick understanding
Use the demo when the team needs to see the product logic, user flows and reports before any technical work starts.
Choose the pilot if you need proof from your own line
Use the pilot when internal approval depends on real machine data, real operators and a measured baseline.
Use both for the clearest path to rollout
Most plants start with the demo to align the team, run a pilot to measure the gain, then scale based on the pilot report.
See the demo, then measure the gain on one line.
This order is easy to explain internally and gives finance a measured result before a larger rollout.
Comparison based on public materials from industrial cloud, IIoT and machine monitoring vendors.