Minitab Insights Launches Research Initiative with New Report Revealing a Critical Gap in Manufacturing Data

New esea ch b a ch p ovides ma ufactu i g a d quality p ofessio als with actio able i tellige ce o the t e ds a d tech ologies shapi g the i dust y

STATE COLLEGE, Pa., Oct. 15, 2026 (GLOBE NEWSWIRE) — Mi itab, LLC, a global leade i data a alytics, p edictive modeli g, a d p ocess imp oveme t solutio s, today a ou ced Mi itab I sights, a global i itiative that will publish o igi al esea ch, i dust y i sights, a d expe t pe spectives based o global su veys of ma ufactu i g a d quality p ofessio als.

Available at o cost, Mi itab I sights will p oduce fi st-ha d fi di gs, key su vey data f om ma ufactu i g leade s, i -depth esea ch epo ts, a d webi a s that exami e timely t e ds ac oss ma ufactu i g, quality, a alytics, AI, a d p ocess imp oveme t. The i itiative will combi e su vey esults, o igi al esea ch, expe t i te views, a d p actical takeaways to help guide o ga izatio s o thei digital t a sfo matio jou ey.

The i augu al epo t, “State of Ma ufactu i g Data Collectio ,” eveals a sig ifica t disco ect betwee the data ma ufactu e s collect a d how effectively they t a slate it i to decisio s that imp ove quality, p oductivity, a d pe fo ma ce.

While 88.8% of espo de ts collect defect a d quality data, o ly 6% epo t fully i teg ated data sou ces, limiti g ma y o ga izatio s to basic epo ti g athe tha p edictive o optimized decisio -maki g. The esea ch also shows that 45.5% use data fo basic epo ti g, compa ed with just 6.8% who use data fo p edictive o optimized decisio -maki g.

“Ma ufactu e s a e collecti g mo e data tha eve , but data alo e does ot imp ove pe fo ma ce. The eal oppo tu ity lies i co ecti g i fo matio ac oss ope atio s, so teams u de sta d what is happe i g, why, a d whe e to act,” said Jeff ey T. Slovi , Chief Executive Office at Mi itab. “Mi itab I sights will be a valuable esou ce allowi g leade s to see whe e they sta d, lea f om i dust y pee s, a d fi d p actical ways to tu data i to bette decisio s a d measu able esults.”

The esea ch ide tifies th ee ce t al themes:

• Collectio is ahead of co ectio . O ga izatio s widely collect quality i fo matio , but few have fully i teg ated data e vi o me ts.
• Ma ual p ocesses emai widesp ead. Pape eco ds, sp eadsheets, a d isolated systems co ti ue to delay i sight a d limit visibility.
• P edictive matu ity is limited. Most ma ufactu e s use data to explai what happe ed athe tha a ticipate what will happe ext.

Mi itab expe ts ote that the challe ge is ot simply collecti g data. It makes that data useful.

“The esea ch poi ts to a clea gap betwee collecti g ma ufactu i g data a d t a slati g it i to ope atio al i sight,” said Che yl Pamme , Se io Head of Ma keti g A alytics & Resea ch at Mi itab. “Whe i fo matio emai s siloed i sepa ate systems o ma ual p ocesses, it is ha de to co ect quality a d p oductio sig als, u de sta d what d ives pe fo ma ce, a d move beyo d epo ti g what has al eady happe ed. The fi di gs show why data i teg atio is a impo ta t step towa d mo e p edictive a alysis.”

Mi itab I sights p ovides executive leade s, quality p ofessio als, a d e gi ee s with a f ee, i -depth look at c itical issues shapi g the futu e of ma ufactu i g, featu i g i put a d a alysis f om leadi g voices a ou d the globe.

How the Resea ch Was Co ducted

The i augu al Mi itab I sights Resea ch Repo t d aws o 582 su vey espo ses f om ma ufactu i g p ofessio als ac oss 66 cou t ies a d 10 ma ufactu i g ve ticals, collected th ough email, webi a , a d eve t polli g. The esea ch exami es how o ga izatio s collect, i teg ate, a d use p oductio data, i cludi g automatio levels, eal-time visibility, a d i vestme t.

Mi itab I sights suppleme ted the su vey esults a d a alysis with qualitative i te views with ma ufactu i g p actitio e s, Mi itab custome s, a d i dust y expe ts to p ovide p actical co text.

Access the i augu al Mi itab I sights Resea ch Repo t.

About Mi itab, LLC

Mi itab is a global leade i data a alytics solutio s, with ove 50 yea s of expe ie ce helpi g o ga izatio s ha ess thei data to delive high-quality p oducts a d se vices. By i teg ati g eal-time mo ito i g, data collectio , statistical p ocess a alysis, p edictive modeli g, a d co ti uous imp oveme t solutio s with embedded atu al la guage AI capabilities, Mi itab helps ma ufactu e s a d se vice p ovide s co solidate data, u cove i sights, a d accele ate decisio -maki g to achieve measu able esults.

I mo e tha 100 cou t ies, the wo ld’s leadi g compa ies a d i stitutio s ely o Mi itab solutio s a d se vices to solve c itical challe ges a d d ive sustai ed pe fo ma ce imp oveme ts. Fo mo e i fo matio , visit www.mi itab.com.

Media Co tact

Albe ZakesCommu icatio s Di ecto Email: azakes@mi itab.comPho e: +1.267.221.4800