Turn Your
Telemetry
Data Into
Yield
Dominance.
You operate state-of-the-art machinery, yet rely on 20th-century data architectures. Dataeffet Enterprise bridges shop-floor IoT with legacy ERPs inside your private cloud for real-time, mathematically proven yield execution.
"Trace the spike in defect cluster 4 back to its supplier batch."
Lineage complete. Defects correlate 92% to Supplier Batch #A88-12. ERP confirms this batch was received on Oct 12th. Action: Halt Line 2 and quarantine remaining material.
Your Machines Speak Real-Time.
Your ERP Speaks Next Week.
Massive industrial operations fail not in the manufacturing process, but in the data transmission layer. If a critical machine slows production by 4%, but your procurement systems (SAP/Oracle) don't register the material surplus until end-of-month reconciliation, millions of dollars are locked in dead inventory.
- The IoT vs. Financial Divide: Machine telemetry produces terabytes of raw data that legacy financial dashboards simply cannot ingest or calculate.
- Yield Optimization Blindspots: The inability to correlate environmental factors, raw material batches, and specific shift performance against final output quality.
Find The Defect.
Instantly.
When final yield drops or defects spike, tracing the issue back to a specific raw material batch or a subtle shift in a machine's calibration is typically a manual, chaotic forensic process. You are burning hours looking through disconnected logs while the assembly line continues to produce scrap.
- End-to-End Lineage: Because we maintain strictly separated Bronze and Silver layers, we create a deterministic map tying final QA output directly to the original raw procurement IDs.
- Instant Recall Mechanics: If a defect occurs, the pipeline instantly queries upstream to isolate the exact supplier batch or machine state responsible.
Different Factories.
One Unified Language.
When an enterprise acquires new manufacturing facilities, they inherit entirely different legacy tech stacks. The C-Suite is left completely unable to benchmark production yield or operational efficiency across the portfolio because every factory structures its data differently.
- The Multi-Plant Silo: Facility A uses Oracle. Facility B uses a legacy AS400 system. Comparing their OEE (Overall Equipment Effectiveness) is impossible without manual translation.
- Portfolio-Wide Normalization: We deploy a multi-tenant Medallion architecture that ingests the chaotic, distinct data structures of each facility (Bronze) and forcefully standardizes them into a single corporate schema (Silver).
Trade Secrets Cannot Live
On Public SaaS Servers.
For heavy manufacturing, data is not just operational—it is highly classified intellectual property. Production tolerances, chemical mixes, and exact yield metrics cannot be legally or ethically transmitted to third-party software vendors.
- The Generative AI Liability: Sending proprietary machine calibration data to an external AI model exposes your factory to massive IP leakage.
- Air-Gapped AI Access: We deploy the entire Dataeffet technology stack directly onto your private servers or secure AWS environment. You retain 100% ownership of the intelligence engine.
Unify Your Industrial Architecture.
Stop losing millions in the gap between the shop floor and the boardroom. Take permanent control of your manufacturing intelligence.
Dataeffet Enterprise
Deploy our complete technology stack directly inside your own secure data center or private cloud. Total IP protection, regulatory compliance, and isolated Medallion logic.
Request Enterprise BriefingExecutive Consulting
1:1 pipeline blueprinting, legacy ERP audit, and bespoke IoT integration roadmaps designed directly by our lead data architects.
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