Industry point of view
A 20% output advantage now belongs to whoever can see their shop floor in real time.
Smart-manufacturing adopters are reporting output, productivity, and capacity gains their competitors can't match — while 70% of manufacturers still collect shop-floor data by hand. That is the widest competitive gap in decades, and it's a data problem before it's a technology problem.
What we see across the industry
Shop-floor data is trapped on clipboards, whiteboards, and machine terminals — so OEE and scrap analysis arrive weeks late, when the batch is long gone. ERP, MES, quality, and maintenance systems don't talk; plant managers rebuild the same spreadsheet every Monday morning.
Job costing and margin-by-part are estimates, because labor, material, and machine data never join. And the deepest asset — tribal knowledge — is walking out the door as veteran operators retire, with nothing captured in systems.
Tariff and supply-chain volatility punishes manufacturers who can't see costs and capacity in real time. The plants pulling ahead stopped tolerating clipboard data; everything else followed from that decision.
The research
The adopter advantage, quantified
Our experience here
Work we've already done in manufacturing
OBIS has trained industrial workforces on exactly this transition — including a company-wide generative-AI webinar for NuJak Construction Corp's employees on using AI to scale manufacturing and supply-chain operations. And we bring an operational-data playbook built across 200+ engagements in scheduling-, inventory-, and quality-driven businesses to the plant floor: unify the systems, define the metrics, and give operators a scoreboard they trust.
“She presented at a company webinar with over 70+ businesses and brought an engaging personality as well as great information that was very helpful to the group.”
Where to start
Data Foundations & Integration
Connect the systems that don't talk to each other — warehousing, pipelines, and governance that make every number trustworthy.
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Led by Jacqueline DeStefano-Tangorra, CPA, CFE, CDMP
Founder & CEO, Omni Business Intelligence Solutions
Forbes Technology Council member · Featured by the Wall Street Journal, Business Insider, CNBC, NASDAQ, and Microsoft
Backed by a team of 20+ data, AI, and BI specialists across various teams — the right expert joins at the right moment.
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