Transform Cold Data into Visible Profit

Software go-live is just the beginning. Our data scientists go deep into your shop floor, using NEXSPC advanced analytics to diagnose stubborn quality issues and drive yield breakthroughs.

query_statsData Science Analytics factoryGemba Approach point_of_salePrecise Pinpointing paidProfit Visualization
Gemba Walk and Data Analysis
insightsOn-site Discussion · Trend-Driven Decisions

Why Do You Need Expert Consulting?

You have the best scalpel (NEXSPC), but you may still need an experienced surgeon.

Upgrade from 'seeing data' to 'seeing causality', then transform causality into replicable improvement actions.
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Break the 'Data Rich, Information Poor' Paradox

Pain Point: Billions of data rows lying in the system, but no one knows how to mine their value.

Solution: We don't just tell you 'What Cpk is', but 'Why Cpk is low' and 'Which parameter to adjust'.
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Solve 'Don't Even Know Where the Problem Is'

Pain Point: Yield has hovered at 95% for ages; dozens of trial-and-error attempts failed.

Solution: Use multi-dimensional correlation and lag mining to pinpoint ignored hidden variables (humidity, voltage, etc.).
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Push the 'Last Mile' of Digital Transformation

Pain Point: Bought software, but messy field config, old interfaces, or broken processes result in 'dirty, chaotic, poor' data.

Solution: Experts go on-site to define data standards, ensuring entry of 'High Net Worth Data' as a solid foundation.

Methodology

Integrating 'Data-Driven' insights with the 'Gemba' approach.

Step 1: Go to Gemba
Consultants spend at least 50% of their time on the shop floor, observing every move to find clues and constraints beyond the data.
Step 2: Data Mining
Extracting historical data from NEXSPC for cleansing and modeling. Using correlation and lag tools to build 'verifiable hypotheses'.
Step 3: Rapid Iteration
Hypothesize → Small-batch verify → Refine. Solidifying improvement actions into limits and standard procedures for sustainability.

Success Stories

Let the facts speak: from 'cause unknown' to 'replicable improvement'.

A Listed Lithium-ion Battery Enterprise

Challenge: Coating areal density Cpk persistently below 1.0.

Result: Correlation analysis identified optimal lag between 'Slurry Viscosity' and 'Coating Speed'. After adjustment, Cpk rose to 1.45, reducing scrap by 12%.

trending_upCpk 1.45 · Waste -12%

An Automotive Tier 1 Supplier

Challenge: High customer complaints; frequent OOS alarms with unknown causes.

Result: Audit found incorrect rule settings (overly sensitive rules). After optimization, false alarms dropped 90%, and complaints fell 50%.

shieldFalse Alarms -90% · Complaints -50%
Turn Yield Bottlenecks into Visible Profit?

Tell us your scenario and KPIs. We'll provide a diagnosis scope and roadmap, including data requirements, timelines, and deliverables.

Book Expert Consultation