Why Your Infor VISUAL Data Can’t Be Trusted (And How to Fix It)

 Let’s start with something most teams won’t say out loud:

If you’re running Infor VISUAL, there’s a good chance not everyone trusts the data.

Not fully.
Not consistently.
Not without double-checking something first.

And when that happens, it doesn’t matter how powerful your ERP is — decisions slow down, workarounds increase, and confidence drops.

The good news?
This is incredibly common.
The better news?
It’s fixable.

The Signs Your VISUAL Data Has a Trust Problem

You’ve probably seen at least one of these:

• “Let me double-check that in Excel…”

• Different departments reporting different numbers

• Inventory that looks right in the system but wrong on the floor

• Finance spending time reconciling instead of analyzing

• Teams building their own reports because they don’t trust the standard ones

None of these are random issues.
They’re symptoms of a deeper problem: data inconsistency across your systems and processes.

Why This Happens in VISUAL Environments

Infor VISUAL itself isn’t the issue. It’s stable, proven, and widely used in manufacturing.

The problem is what happens around it.

Most VISUAL environments evolve over time:

• A CRM gets added

• A shipping or EDI system is introduced

• Spreadsheets fill reporting gaps

• Custom processes get layered in

Before long:

• Data lives in multiple places

• Updates don’t happen at the same time

• Teams rely on manual entry to “keep things aligned”

And that’s where trust starts to break down.

The Real Issue: Too Many Versions of the Truth

When the same data exists in multiple systems:

• Which one is right?

• Which one is current?

• Which one should decisions be based on?

If your team can’t answer that quickly, they’ll default to:
👉 Checking multiple sources
👉 Building their own spreadsheets
👉 Trusting their gut over the system

What This Is Actually Costing You

This isn’t just a “data problem.” It’s a business problem.

• Time lost validating data instead of acting on it

• Errors caused by manual entry or outdated information

• Delayed decisions because no one is confident in the numbers

• Missed opportunities due to lack of real-time visibility

And maybe most importantly:
👉 Your team stops relying on VISUAL the way it was intended

How to Fix It (Without Replacing Infor VISUAL)

Here’s where most companies go wrong — they assume the answer is a new ERP.

It’s usually not.

Fixing data trust issues comes down to three things:

1. Define a Single Source of Truth

Decide:

• Where each type of data should originate

• Which system “owns” that data

For example:

• CRM owns customer interactions

• VISUAL owns orders and production

• Shipping system owns tracking

Clarity here eliminates confusion everywhere else.

2. Eliminate Manual Data Movement

Every time someone re-enters data:

• Errors are introduced

• Timing gets delayed

• Trust erodes

Instead:

• Automate data flow between systems

• Ensure updates happen in real time (or near real time)

Humans shouldn’t be acting as the integration layer.

3. Align Processes Across Teams

Even with the right systems, poor processes create bad data.

Make sure:

• Everyone follows the same workflows

• Data is entered consistently

• Exceptions are handled clearly

Technology supports the process — it doesn’t replace it.

A Simple Test

Ask your team this:

“If two systems show different numbers, which one do you trust — and why?”

If the answer isn’t immediate and consistent, you’ve found your issue.

Final Thought

Infor VISUAL isn’t failing you.

But if your data can’t be trusted, your team will find ways to work around it — and that’s where the real problems begin.

The goal isn’t just to have data in your ERP.
It’s to trust it enough to act on it.

And that doesn’t require replacing VISUAL.
It requires connecting it, aligning it, and using it the way it was meant to be used.

Call to Action!

If your team is constantly double-checking data or relying on spreadsheets to “validate” VISUAL…

It’s time to fix the root of the problem.

Let’s identify where your data is breaking down and how to restore trust — without disrupting your ERP.