Production intelligence for manufacturers who cannot afford blind spots
We connect your MES, ERP, SCADA, and quality systems into a single manufacturing analytics platform - delivering real-time OEE, predictive maintenance, and demand forecasting visibility your teams need to act now, not next week. The foundation for manufacturing digital transformation done in working sprints.
MES · ERP · SCADA
Systems we connect
Real-Time OEE
Live, not lagged
Trusted by operations teams at
Manufacturers across India, the GCC, Singapore, the UK and North America run production reporting we built — from dairy and packaging lines to industrial equipment suppliers.
50+
Clients
150+
Projects delivered
14+
Years in industrial data
6 weeks
To first working output
Who this is for
Built for the people who run the plant
Manufacturing analytics only earns its keep when it answers the question the person on the floor is actually asking. Here is what we build for each role — and the number it moves.
Plant Manager / Operations Director
The problem
OEE lands a shift late, pulled together in a spreadsheet the morning after. By the time you see a loss on Line 3, the shift that caused it has gone home.
What we build
Live OEE by line, shift and SKU straight off your machine feeds — availability, performance and quality you can drill into the moment a loss appears, not the next day.
Typical: 15–20% OEE lift over 6–12 months
Maintenance Manager
The problem
You find out a bearing is going when the line stops. Every unplanned outage is emergency parts, overtime and lost output that nobody had on the plan.
What we build
Anomaly models trained on your sensor and vibration data flag the failure signal early, and raise the work order automatically — before the breakdown, not after.
Typical: up to 40% less unplanned downtime
Quality Manager
The problem
NCRs, rework and rejection data sit in one system; the production parameters that caused them sit in another. Root cause takes days of manual cross-referencing.
What we build
Quality outcomes linked to the exact production conditions that produced them, with automated deviation alerts — so root cause is minutes, and the audit trail builds itself.
Typical: 60% faster root cause analysis
Supply Chain / Planning Head
The problem
Production-versus-plan drift only shows up at month end. Demand changes and you are reacting to the shortfall instead of seeing it coming.
What we build
Production-to-plan tracking and demand signals in one view, fed from ERP and MES — so you see the drift while there is still time to act on it.
Typical: fewer expedites, steadier plan adherence
CFO / Financial Controller
The problem
True cost per unit is a month-end reconstruction. You cannot see which line, product or shift is quietly eroding margin until the numbers are already closed.
What we build
Manufacturing cost analytics that tie yield, downtime, scrap and labour back to unit economics — margin visibility by product and line, refreshed daily, not quarterly.
Typical: margin leaks surfaced weeks earlier
CIO / IT Head
The problem
MES, ERP, SCADA and quality systems have never spoken to each other. Every new report is a project, and the requests never stop coming.
What we build
A governed Microsoft Fabric lakehouse that connects those systems read-only — one modelled version of production truth the business can self-serve, without touching your ERP.
Typical: reporting requests drop 40–60%
The Problem
What slows manufacturing operations down
These are the operational challenges we hear most from plant managers, operations directors, and IT heads across manufacturing - regardless of industry or region.
Production data locked in silos
MES, ERP, SCADA, and quality systems all run independently. Your operations team is manually reconciling spreadsheets to answer questions that should be answered in seconds.
Reactive maintenance costing margin
Equipment failures are discovered when production stops, not before. Every unplanned downtime event carries a cost in lost output, emergency parts, and overtime - none of it was necessary.
OEE tracked in arrears, not in real time
Weekly or monthly OEE reports tell you what went wrong - not what is going wrong right now. By the time the data reaches the shift manager, the shift is over.
Quality data disconnected from production
NCRs, rework rates, and rejection data live in one system; production parameters live in another. Root cause analysis takes days instead of minutes.
How We Help
What a manufacturing engagement delivers
Every engagement follows our Foundation → Intelligence → Automation sequence. We never propose the top layers until the data foundation is solid.
Unified Production Data Platform
We connect MES, ERP (SAP, Oracle, NetSuite, Dynamics, Epicor, Sage), SCADA, LIMS, and quality systems into a governed Microsoft Fabric lakehouse. One version of production truth - accessible to operators, engineers, and leadership.
Real-Time OEE & Production Analytics
Live dashboards showing availability, performance, and quality by line, shift, and SKU. Drill from plant-level OEE into the specific equipment or product causing the loss - in seconds, not days.
Predictive Maintenance
ML models trained on your sensor data surface failure signals before equipment stops. Maintenance work orders are raised automatically - triggered by data conditions, not by a breakdown.
Quality & Compliance Automation
Link production parameters to quality outcomes. Automated quality alerts flag deviations as they occur. Compliance reports generate themselves - no manual assembly required.
Live Demo
What a unified manufacturing report actually looks like
Three report pages — real-time OEE and production, predictive maintenance, and quality and compliance — across the domains an operations leader runs: plant production, maintenance, inventory, FP&A and cash. Change the plant, line, shift or period and the variance visuals, smart narrative and predictive alerts recompute. Built on Microsoft Fabric, Power BI and Azure Data Factory.
Figures are illustrative sample data. Book a 30-minute diagnostic to see this run on your own MES, ERP and SCADA data — no slides, no pitch deck.
Your machines are talking. Your teams can't hear them.
Explore role-specific analytics - what Plant Managers, CFOs, Operations Directors, Sales Teams, and Finance Teams need from your production data. See exactly what MDI builds for each stakeholder, with real proof from Hollandia Dairy and Korpack.
Outcomes
What manufacturers typically achieve
These are ranges from real engagements - the specific outcome depends on your current baseline and where we focus first.
Up to 40%
Reduction in unplanned downtime
via predictive maintenance models
15–20%
OEE improvement
typically realised within 6–12 months
60%
Faster quality root cause analysis
when production and quality data are unified
Track Record
Manufacturing organisations we have worked with
Tetra Pak
Packaging / Manufacturing
Johnson & Johnson
Healthcare / Manufacturing
Hollandia Dairy
Dairy / FMCG
Industrial System Control
Manufacturing / Systems
BlastOne
Industrial Equipment
Korpack
Packaging
Client names shown with permission. Some engagements kept confidential on request.
Why MyData Insights
Why manufacturers choose us for production analytics
Manufacturing-first, not a generalist
We work in plants — dairy, packaging, industrial equipment. OEE, MES, SCADA, OPC-UA and shift patterns are our default vocabulary, not something we learn on your time.
Microsoft Fabric specialists
We build the production data layer on Microsoft Fabric, OneLake and Power BI — a governed foundation, not another disconnected dashboard bolted onto the last one.
Industrial data engineering
Sensor feeds over OPC-UA and MQTT, ERP extraction from SAP, Oracle, Dynamics, Epicor and NetSuite, quality and LIMS data — connected into one modelled lakehouse.
An AI-ready foundation
Predictive maintenance and forecasting only work when the data underneath is live and trustworthy. We fix the foundation first, then the models have something real to run on.
First working output in 6 weeks
You get a working OEE or production dashboard in the first six weeks — Discover, Prototype, Deploy — not a 50-slide roadmap and an 18-month programme.
Directly accountable
The person who scopes the work builds it. No hand-off to a junior team, no sales-engineering pyramid — Amit stays accountable through delivery.
FAQ
Questions manufacturers ask us
The practical questions that come up before we start — on data sources, timelines, OEE and your existing ERP.
What data sources do you integrate for manufacturing analytics?
We integrate ERP (SAP, Oracle, NetSuite, Microsoft Dynamics, Epicor, Sage, Acumatica), MES, SCADA, OPC-UA sensor feeds, quality management systems, and maintenance platforms into a unified Microsoft Fabric data layer. Most manufacturers have 6–10 data sources that have never spoken to each other - we connect them into a single governed platform.
How quickly can we get production visibility up and running?
Typically 6–8 weeks for initial OEE dashboards and shift reporting. We use a rapid Discovery → Prototype → Deploy model. Most manufacturers have working dashboards within the first six weeks - not a 50-slide roadmap.
What is OEE and how does data analytics improve it?
OEE (Overall Equipment Effectiveness) measures Availability × Performance × Quality. The problem is most OEE numbers are manually collected and therefore unreliable. We automate OEE data collection from your actual machine feeds, giving you real numbers - then build predictive models to identify which downtime events are preventable.
Do you work with our existing ERP system?
Yes. We integrate with SAP (ByDesign, S/4HANA), Oracle, NetSuite, Microsoft Dynamics, Epicor, Sage, Acumatica, and other major ERP platforms. Your ERP does not need to change - we build the analytics layer on top of it using read-only data extraction.
What industries within manufacturing do you specialise in?
We work across discrete manufacturing, process manufacturing, FMCG production, packaging, and industrial equipment. Our clients include dairy producers, packaging companies, industrial systems suppliers, and food distribution operations across India, the GCC, and Southeast Asia.
Free assessment
Free Manufacturing Intelligence Assessment
A focused review of where your production data stands today and what we would build first. 30 minutes, no slides, no obligation to proceed — you leave with a concrete first step whether or not we work together.
What you get
- A review of your current OEE and production reporting — and where the numbers actually come from
- A KPI maturity check across production, maintenance, quality and cost
- Specific dashboard and data-model recommendations for your estate
- A read on your MES, ERP and SCADA integration readiness
- A Microsoft Fabric roadmap scoped to first working output in 6 weeks
Start with a free manufacturing diagnostic
30 minutes. We assess your current data landscape, identify where the biggest production intelligence gaps are, and tell you exactly what we would tackle first. No slides, no sales script.