Before we build anything,
we make sure it’s worth building.
The Quick Scan is a structured 1–2 day session where we review your machine data situation, define what to measure, and deliver a written assessment with a realistic path forward. No sales pitch. No automatic follow-on commitment.
Request Quick ScanMost machine builders start without a clear picture
Connectivity is already in place. Customers are asking for dashboards and reporting. But there is no clear view of what to measure, what the data actually looks like, or what it would realistically take to build something useful.
The Quick Scan exists to answer those questions before any implementation work begins. It is not a product demo. It is not a discovery call dressed up as a consultation.
It is a working session where we look directly at your machine data situation and give you a written answer to one question: is this worth doing, and if so, how?
What happens during the 1–2 days
This is a structured session with a defined output, not an open-ended conversation. Here is how it runs.
Data and connectivity review
We start by reviewing your current machine setup: connectivity platform, available data variables, what is already being collected, and what is missing or undefined. We look directly at the data structure — not at a slide deck describing it.
Use case definition
We work through which analytics questions actually matter for your business: what your customers are asking for, what your service team needs, and where reporting would create the most value first.
KPI and data model assessment
We evaluate whether your current data is sufficient to answer those questions — and where the gaps are if it is not. From there, we outline a KPI model: what to measure, how to define it, and what data source supports each metric.
Scope and path forward
We translate everything into a realistic implementation scope: what it would take to move from your current situation to working dashboards, what the key dependencies are, and what the most practical starting point looks like.
What you receive after the session
Within one week of the session, you receive a structured written assessment. This is not a proposal — it is a clear, standalone output you can use internally.
- A clear summary of your current machine data situation and the gaps identified
- A defined set of priority use cases — what to measure and why, tied to service and customer value
- A KPI model outline — what to track, how each metric is defined, and what data is required
- An indicative implementation scope — phases, timeline, and key dependencies
- A clear recommendation — proceed, address prerequisites first, or not the right moment
This document is yours regardless of whether you proceed with StriData. It is a useful internal reference — not a proposal with a signature line.
Who the Quick Scan is for — and when it is not the right next step
This works best when there is already machine data available and a real need to turn it into something useful for customers, service teams, or internal reporting.
This is for you if
- You build or service industrial machines and already have connectivity in place
- Your customers are asking for dashboards, reporting, or better visibility into machine performance
- You have data coming off your machines but no clear picture of how to structure it into analytics
- You want to know what is realistic before committing internal time, budget, or technical resources
This is not for you if
- You are looking for a product demo or a general overview of what StriData does
- You have no machine connectivity in place yet and no accessible data to assess
- You are running a formal RFP process across multiple vendors and need a standard response document
- You are not yet clear on the business reason for analytics and only want to “explore what is possible”
What happens after the session
The Quick Scan produces a written recommendation. In practice, there are three realistic outcomes.
Clear path forward
Your data is accessible, the use cases are well-defined, and the implementation can be scoped directly from the Quick Scan output.
You receive an indicative scope and a realistic cost range. Whether you proceed is entirely your decision.
Prerequisites first
Your data situation needs specific steps before implementation is worthwhile — for example missing variables, undefined machine states, or a connectivity gap.
We tell you exactly what those steps are and whether StriData is the right partner to help address them.
Not the right moment
Sometimes the Quick Scan shows that structured analytics is not the right next step. The data may be too limited, the use case may be unclear, or the timing may be wrong internally.
We tell you that directly rather than pushing the project forward anyway.
What this looks like in practice
The Quick Scan defines what to build before anything is implemented. This is how that translates into real results.
TMI builds and services packaging and palletizing lines with more than 1,500 machines operating across 40 countries.
The implementation that followed gave TMI one analytics model across their entire fleet, with customers accessing machine performance directly in Power BI.
Questions about the Quick Scan
These are the questions most teams ask before booking the session. The goal is clarity before any implementation work starts.
Request a Quick Scan
Fill in the form and we will be in touch within one business day to confirm the session, answer any questions, and check whether your current setup is a practical starting point.
- Structured 1–2 day session
- Written assessment within one week
- No commitment required after the session
Tell us a bit about your machine setup and what is prompting the request. We only ask for what we need to assess fit and prepare the session properly.
No commitment required after the session. You will receive a written assessment within one week of the session date. We respond to every request within one business day.