In recent years, manufacturers worldwide have been investing heavily in building their data foundations. MES, ERP, and WMS systems are widely deployed. Machines are connected, systems are integrated, and dashboards are everywhere.

On the surface, it seems that “data is already in place.”

But once you step onto the shop floor, a different reality appears: tool life is unclear, cutting parameters rely on experience, abnormalities are described verbally, and cost calculations lack accuracy.

The issue is not a lack of systems.
It is that a critical category of data has never been truly integrated from the start — cutting data.

01

Why Is Cutting Data So Easily Overlooked?

Because it is deeply embedded in the shop floor.

Unlike structured data such as orders, inventory, or work orders, cutting data is scattered across multiple touchpoints: tool information sits in the warehouse, parameters reside in machine programs, tool life depends on operator experience, and abnormalities are often recorded informally.

Without a unified entry point or standardized structure, the result is clear:
systems operate above, while data remains fragmented below.

02

The Most Overlooked Data Is Often the Most Valuable

What many manufacturers fail to realize is that cutting data is directly tied to operational outcomes.

It impacts three core dimensions simultaneously:

• Cost — how many parts a tool can produce directly determines unit cost

• Quality — tool stability directly affects machining consistency

• Efficiency — tool change frequency and unexpected downtime impact production rhythm

Yet in many factories, answers to these questions still sound like:
“roughly,” “about,” or “should be.”

This is not due to a lack of data, but because the data has never been systematically captured or structured.

03

No Entry Point, No Data Asset

Many companies are building industrial data platforms.
But when foundational data is fragmented, these platforms can only aggregate existing information — not generate critical insights.

The real challenge of cutting data is not analytics, but data acquisition and structuring.

Without unified cutting management, without lifecycle visibility, and without standardized usage and tool life rules, data cannot form a closed loop.
And without a closed loop, it cannot become an asset.

04

The Entry Point to Cutting Data Lies in Cutting Management

To truly integrate cutting data, the process must begin at the source — the cutting operation itself.

From tool inbound, issuance, machine setup, usage, return, regrinding, to scrapping, every step must be recorded to form a continuous data chain.

When tool life is no longer based on assumptions but on actual data, it gains value.
When abnormalities can be traced back to specific machines, parameters, or conditions — rather than discussed as “possible causes” — data becomes actionable.

At this point, cutting data transforms from experience into a true asset.

05

Knowhy: Building the Entry Point for Cutting Data

Knowhy’s cutting management system is not simply about managing tools.
At its core, it is about establishing a data entry point for cutting operations.

By capturing every cutting event, tool change, and anomaly on the shop floor, fragmented data becomes structured, traceable, and reusable.

Only when this layer is connected can a company’s data foundation become truly complete.

Conclusion

Many manufacturers have already reached the “last mile” of digital transformation.
The challenge is no longer systems, but operational detail.

Cutting data is that critical — yet often overlooked — piece.

Complete this layer, and data forms a closed loop.
Complete this journey, and data becomes a true asset.