By Subba Reddy, Head of GTM and Snowflake Solution Architect at PROLIM
Introduction
Manufacturing companies are sitting on some of the most data-rich environments in any industry. Every Siemens PLC, every SIMATIC sensor, every MES batch record, every SAP production order — the shop floor generates enormous volumes of operational signal every single day.
But for most organizations, none of that data reaches a decision-maker in time to act on it. OEE is still computed in Excel, two days after the shift closes. Quality failures surface after the product ships. COGS per batch is a quarterly estimate, not a daily fact. The data exists — the problem is that it has never been unified.
This is the problem PROLIM solves: bringing together deep Siemens manufacturing technology expertise and Snowflake’s AI Data Cloud to build a single, real-time intelligence platform that connects every layer of your operation.
The Challange
Six pain points every manufacturing leader recognizes
The OT/IT gap is not a technology failure — it is an architectural one. OT systems on the shop floor were built for reliability and real-time control, not analytics. IT systems were built for business processes, not sensor streams. No one designed them to talk to each other, and the cost shows up every day in your operations.
“For a Plant Manager, fragmented OT and IT data means every production decision is a guess dressed as an informed call. For a Quality Director, it means batch failures are discovered when the customer calls. For a CFO, it means COGS per unit is a quarterly estimate, not a daily fact.”
The PROLIM Solution
A six-layer manufacturing intelligence platform — built on Siemens and Snowflake
PROLIM’s answer to the OT/IT gap is a purpose-built, six-layer data platform that ingests raw Siemens sensor telemetry and SAP production data, unifies it in Snowflake’s AI Data Cloud, applies AI-powered enrichment with Snowflake Cortex, and surfaces real-time intelligence through governed dashboards and natural language querying — all in a single, audit-ready architecture.
L1: Siemens OT Sources
Siemens S7 PLCs, SIMATIC sensors, and WinCC SCADA publish real-time OPC-UA telemetry over the Industrial Edge Databus via MQTT — up to 50,000 readings per minute across temperature, pressure, pH, flow, and moisture. SAP S/4HANA supplies production orders and actual costs.
L2: Siemens Opcenter MOM Stack
Opcenter MES manages batch records and production orders. Opcenter LIMS handles lab sample results. Opcenter Specification manages versioned product formulas and quality limits — the authoritative manufacturing operations record most organizations have never connected to IT analytics.
L3: Custom Ingestion Layer
Purpose-built Python connectors subscribe to MQTT streams, handle late LIMS arrivals, and delta-extract SAP order changes — flushing trusted, deduplicated records into Snowflake every five seconds. Built for manufacturing’s real-world data variability, not generic ETL patterns.
L4: Snowflake Medallion + Cortex AI
A Bronze → Silver → Gold medallion architecture stores, cleanses, and unifies all source data. Silver solves the three hardest manufacturing data problems: BATCH_ID assignment, four-hour LIMS late-arrival windows, and versioned specification matching. Snowflake Cortex AI runs anomaly detection, root cause classification, yield forecasting, and batch narrative generation — inside the transformation itself.
L5: Governed Semantic Layer
Three governed semantic views — OEE, batch quality, and COGS — expose every KPI with its definition, dimensions, and aggregation logic locked down. Cortex Analyst translates natural language questions from plant managers and quality directors into trusted SQL — no data team ticket required.
L6: Streamlit Dashboards
Four production dashboards deployed natively inside Snowflake: OEE and production performance, quality SPC with control charts, an AI Copilot for natural language querying, and end-to-end batch traceability. Auto-refresh every 60 seconds. No data leaves the governed environment.
Business Outcomes
What the platform delivers — in measurable terms
Architecture only matters if it produces outcomes business leaders can measure. The PROLIM manufacturing platform delivers eight results from day one of production operation.
What it means for your role
Plant Manager / VP Ops
Real-time OEE by line and shift. Batch quality alerts during production. Natural language querying without a data team ticket.
Quality Director
SPC control charts per product. Automated CoA readiness flags. Batch traceability from sensor to lab result in seconds.
CFO / Finance
COGS per batch from SAP actuals. Energy cost per kilogram. Yield forecast for production planning. Consistent from plant to boardroom.
Supply Chain Director
Material consumption per batch from live production data. Yield loss visibility linked directly to procurement planning. Production schedule vs actual output — same day. Full material and supplier traceability per batch.
PROLIM has built this platform for manufacturing organizations across food processing, pharmaceutical, and discrete manufacturing verticals. Every engagement starts with the same data problem — fragmented, siloed, retrospective — and ends with outcomes your team can measure: real-time OEE visibility, quality failures caught during production, automated batch release, and a data infrastructure that scales from one plant to twenty.
The OT/IT convergence challenge is solvable. The architecture exists. The question is whether you have the right partner to build it.
Ready to unify your shop floor and enterprise data?
If your OEE is still in Excel, your quality failures surface after shipment, or your plant managers can’t query production data without IT involvement — let’s talk about what we’ve built.
