The report is rebuilt every week. The margin shows up at month-end.
Fact-Trak reads your SyteLine data directly, with one shared definition for each measure, and drills from a summary into the transactions behind it. The numbers you rebuild every Monday are already there.
What changes
What we hear from finance and operations
Six versions of the same problem, in almost every plant we walk into. Here is what each one looks like with Fact-Trak. The goal underneath all six: answer the money questions while the job is still open, from one set of numbers. Fact-Trak reports what SyteLine holds, which is why the platform starts by recording labor, scrap and downtime at the operation.
The Monday rebuild
Someone spends Monday morning rebuilding last week's report by hand so the plant manager has numbers.
Monday's numbers are already on a screen
Dashboards refresh from your SyteLine data. Nobody rebuilds the report, because the report was never taken apart.
Whose numbers are right?
Three departments, three spreadsheets, three answers. The meeting starts by arguing about the data.
One definition, shared
One definition behind each measure, documented in Fact-Trak's Reference Data Dictionary, so the meeting starts from the same number.
Every report is an IT ticket
A new view or filter waits in the IT queue, so people build their own shadow spreadsheets instead.
A new view without a project
Fifteen subject-area models in Excel and Power BI, filtered by the people who use them, with role-based security. New views are built by Lake with you, on the same models.
Variances nobody can trace
The variance is on the report. Tying it back to the transactions behind it takes days of exports.
Summary to transaction in a few clicks
Drill straight from a number into the records behind it, rather than exporting and rebuilding a pivot.
The job lost money. Where?
A job closes over budget and nobody can show why: setup, rework, scrap, or a bad routing.
The standard, the actual and the gap
Job cost breaks down to labor, material and scrap, by job, item and customer, so the gap has an address.
Margin found at month-end
Finance learns how a job really did after close, when it is too late to do anything about it.
Answered while the job is open
With labor recorded at the operation by Shop-Trak, the actuals are current the same day, so a bad job is explained while there is still time to act.
“We quoted 30% margin and delivered 28. Where did the two points go?”
The question every controller asks. Fact-Trak is where the two points get an address instead of an argument.“Is the machine shop carrying its own weight?”
The question every plant manager asks. It is a reporting question before it is a capital one.What your team gets, role by role
Controller
Opens standard against actual by job, drillable to the labor, material and scrap behind it.
Planner and scheduler
Finds the report already current, rather than spending Monday morning rebuilding it.
Plant manager
Starts the meeting from one set of numbers with one definition behind each measure.
Operations lead
Drills from a summary into the transactions without asking for an export.
Fact-Trak
Answers before month-end.
Fact-Trak reads your SyteLine data rather than a copy that arrived by email, with one shared definition for each measure and role-based security throughout. Rework, scrap or downtime never recorded in SyteLine or Shop-Trak cannot appear in any report. Full Fact-Trak is part of the Pro tier.
Dashboards and reporting
- Dashboards that refresh from your SyteLine data
- Production, inventory, sales and delivery views
- Drill from a summary into the transactions behind it
Job cost and variance
- The standard, the actual and the gap on each job
- Drill from job margin to labor, material and scrap
- Financial and cost reporting by job, item and customer
Ask in plain language
- Plain-language query, planned 2027
- Standard against actual variance by job and operation
- Runs on the AI engine you sanction, under your governance
Drill-through reporting Shared measure definitions Role-based security Part of the Pro tier
Fact-Trak requires Infor streaming pipelines on Infor CloudSuite Industrial (SyteLine). Your account team confirms what your version supports. How activation works.
The reporting fix is the same size both ways.
Only one of them makes the next fix smaller. Buy a reporting tool and you get better charts on the same data. A report is only as good as what was recorded, and most of what a job costs is recorded on the floor. The platform captures it as the work happens.
| A standalone reporting tool | The Lake MES Platform, starting with Fact-Trak | |
|---|---|---|
| Where the data comes from | Extracts and exports from SyteLine | Your SyteLine data, shared definitions |
| Labor and scrap actuals | As good as what was keyed later | Recorded at the operation by Shop-Trak |
| Drill to the transaction | A new export and a pivot table | Summary to transaction in a few clicks |
| Machine time | Out of scope | Machine-Trak on any asset; job link expected by the end of 2026 |
| Cost of quality | Scrap shows up as variance | Quality-Trak; cost link to follow |
| SyteLine upgrades | Rebuild the extracts every time | Each SyteLine release is tested by Lake, then the platform release follows |
| The next capability | New vendor, new project | Switch it on |
| Contracts | One more contract and renewal | One subscription, one renewal |
You are buying one-off solutions and becoming a systems integrator yourself to create what we give you off the shelf.
Fact-Trak on the Lake MES Platform
The numbers don't live alone. On the platform, they don't have to. Shop-Trak, Doc-Trak and Fact-Trak already work on your SyteLine data today. The next direct product-to-product integration, Shop-Trak and Machine-Trak, is expected by the end of 2026, with more through 2027.
Shop-Trak
Available NowLabor, quantities and scrap recorded at the operation rather than keyed later, so the job's actuals in SyteLine are current.
Doc-Trak
Available NowPacking slips, certificates and PO paperwork built from SyteLine, so the record behind each number is complete.
Machine-Trak
Expected End Of 2026Run, idle and down on any asset today. Machine time reaches the job through the Shop-Trak link, expected by the end of 2026.
Quality-Trak
PlannedNonconformance and dispositions run inside SyteLine. Cost of quality on the Fact-Trak job view follows.
Vantage
Expected Early 2027Job 360 and margin beside labor, machine and delivery on one role-based command center.
Intelligence
Planned 2027AI across the platform flags risk before it becomes a late job. A person decides.
Start with the numbers. Keep climbing.
Capacity scales, capability activates. Starter quantities of every product are included in every tier, so each stage starts as a pilot, not a purchase.
One set of numbers
Available NowDashboards read your SyteLine data with shared definitions, and labor and scrap are recorded at the operation.
Job cost you can trace
Available NowDrill from job margin to the labor, material and scrap behind it, with the paperwork on record.
Connect the machines
Available NowStart with the machine included in your platform: OEE and utilization first, then downtime, on any asset.
Margin on one screen
Expected Early 2027Job 360 and margin in one role-based command center, with cost of quality to follow.
What the job record makes possible
Cost on the open job
PlannedLabor today where you use direct job costing; machine and quality cost as the products come together.
Scrap becomes a quality case by itself
In DevelopmentA scrap entry at the station opens the quality record.
The machine files its own paperwork
Planned 2027A machine condition opens the work and writes the cost back.
What we hear about Fact-Trak, and what we say back
Each one is a problem in a manufacturer's words. The answer names what Fact-Trak does about it today, what is still coming, and where the problem sits in the 49 we have catalogued.
A simple performance question takes days and an IT ticket.
Fact-Trak reads your SyteLine data directly and drills from a summary into the transactions behind it, from the record you are already looking at. A manager gets to root cause without opening a ticket. Available now, as part of the Pro tier.
In the book of painA simple performance question takes days and a ticket Available now
Profit and loss truth arrives after month-end, and a variance is a number without a cause.
Current profit and loss and budget against actual, with the standard, the actual and the gap on each job. Variance drills from the number to the source transaction, so an overrun traces to its labor, material and scrap drivers while the job is still open. Available now.
In the book of painProfit and loss truth arrives after month end Available nowVariances cannot be explained or traced to source Available nowJob cost overruns cannot be traced back Available now
Our 7:15 meeting runs on a 5:30 spreadsheet, and half of it is spent arguing which number is right.
One definition behind each measure, documented in the Reference Data Dictionary, and dashboards that refresh from SyteLine. The meeting starts from agreed truth and spends its time on decisions. Available now.
In the book of painThe morning meeting argues about what is true Available nowNobody trusts the metrics, so goals get set blind Available now
Working capital sits on the shelf and nobody can say which decision put it there.
Turns, days of supply and on-hand trend by item and warehouse, with the driver traceable to the decision that caused it, and planning performance measured over time so the loop closes. Available now.
In the book of painWorking capital is trapped in inventory Available nowThere is no way to tell whether planning is actually improving delivery Available now
Vendor performance, supplier quality and margin by customer live in five different places.
Vendor cost, on-time delivery and lead-time reliability side by side, built from live receipt data; supplier defects joined to cost; and revenue, margin, mix and commission connected so erosion is caught early. Available now.
In the book of painVendor performance is scattered and a step behind Available nowSupplier quality and sourcing tradeoffs cannot be analyzed Available nowSales, margin and commission live in silos Available now
We cannot afford another BI project with a warehouse to design first.
There is no separate warehouse. Fact-Trak reads your SyteLine data with shared definitions, so the first dashboard is a configuration rather than a project. On Infor CloudSuite Industrial (SyteLine) it requires Infor streaming pipelines; your account team confirms what your version supports.
In the book of painYou have become your own systems integrator Available nowA simple performance question takes days and a ticket Available now
We would like to just ask the data a question in plain language.
A plain-language question over live floor data, on the AI engine you sanction and under your governance, is planned for 2027. The first use case is standard against actual variance by job and operation.
In the book of painAsk your floor a question in plain language Planned 2027
You buy the platform once. You grow it by switching on.
One subscription, one renewal
Your tier includes a license for each of its products, with starter quantities included, and you install what you need. One agreement covers all of it.
Capacity scales, capability activates
Add devices, users, seats or machines as you grow. New capability is switched on, not reinstalled. Machine-Trak connections may require a setup fee.
Care after go-live, included
Check-ins and activation help are part of the subscription. We'd rather come solve a real problem on your floor than run you through a demo.
Your account team sizes the platform with you and confirms the numbers in a written quote. Current Lake customers receive loyalty pricing on the platform.
Moving to Infor's multi-tenant cloud? Fact-Trak and the platform move with you. Your account team will confirm what your version supports.
SyteLine is your system of record. The Lake MES Platform is your system of execution.
Talk to a Fact-Trak expert: (920) 406-3030. We'd rather come solve a real problem on your floor than run you through a demo.