Stop Running Six Azure Services.
Build One Platform
That Does All of It.
MyData Insights implements Microsoft Fabric for manufacturing, FMCG, and supply chain companies — delivering a single, governed data platform from raw operational data to AI-driven action.
150+
Projects Delivered
13+
Years in Industrial Data
50+
Enterprise Clients
10
Global Markets
01 — Unify
OneLake · Mirroring · Lakehouse
02 — Predict
Data Agent · Azure OpenAI · ML
03 — Act
Activator · Power Automate · Copilot
One Data Layer. Every System. Live.
The governed foundation that replaces six Azure services with one
Built for
The Problem
Your ERP, MES, WMS, IoT sensors, and CRM all run fine individually. The problem is they don't talk to each other. Finance, operations, and supply chain are each working from a different version of the same number — and the reconciliation happens in Excel, overnight, after the window to act has already closed.
What We Build
We connect every operational system into a single governed OneLake. No data movement. No sync lag. No duplication. Your entire organisation reads from one source of truth — refreshed continuously, not nightly.
Faster reporting refresh
Packaging manufacturer, GCC
Single source of truth
finance · ops · supply chain
ETL pipelines to maintain
via Fabric Mirroring
AI That Runs on Your Live Operational Data.
Demand forecasting, anomaly detection, and quality prediction — natively in Fabric
Built for
The Problem
Your data science team is spending 60% of project time on data prep before a model can run. Every AI pilot starts with weeks of extraction, cleaning, and reconciliation. The production environment never quite matches the sandbox. AI value keeps getting deferred.
What We Build
We deploy predictive models, anomaly detection, and AI agents directly against the data already in OneLake — using the Fabric Data Agent, Azure OpenAI integration, and native ML endpoints. No separate infrastructure. No export tax.
Forecast error reduction
Food manufacturer, first quarter
Failure prediction ahead
Predictive maintenance, MES data
Dev acceleration with Copilot
Data engineering, notebooks
From Insight to Action. Without the Delay.
Closed-loop operations where data signals trigger automated responses
Built for
The Problem
You have dashboards. People look at them. Then they decide what to do, open another system, and manually trigger the response. The data told you the answer an hour ago. The action happened three hours later. That gap is where margin leaks.
What We Build
We wire data signals from your Fabric environment directly to operational responses — work orders, replenishment alerts, Teams notifications, and Power Automate flows — so the system acts on insight without waiting for someone to read a dashboard.
Exception handling automated
Logistics operator, multi-DC
Autonomous response
zero human latency in alert chain
Answers, not reports
Conversational BI, any role
Microsoft Fabric — How It All Connects
One unified platform. One OneLake. Every workload from ingestion to AI action — governed in a single workspace, delivered and maintained by MDI.
Microsoft Fabric unified architecture. MDI implements and governs all layers shown — from OneLake ingestion through to AI and automated action.
One Lakehouse. Every Data Source.
No Sync Overhead.
Most organisations end up with a fragmented Azure stack — a data warehouse here, a blob container there, a Synapse workspace nobody owns, and six pipelines that break every quarter. Microsoft Fabric collapses that into a single Azure Lakehouse architecture: one OneLake, Delta Lake format throughout, and a medallion structure (bronze → silver → gold) that your data engineers can actually maintain.
We design and implement the lakehouse layer from scratch — or migrate your existing Azure Synapse Analytics, Azure Data Lake Storage Gen2, or Azure Data Factory pipelines into Fabric Mirroring and Dataflows Gen2. The result is a unified data integration platform where every source — ERP, IoT, WMS, CRM — lands in one governed store and stays current without scheduled refreshes.
Medallion architecture design
Bronze · Silver · Gold layer governance
Delta Lake on OneLake
Single namespace, zero data duplication
Azure Synapse → Fabric migration
Lift-and-remodel, not lift-and-shift
ADLS Gen2 integration
Existing lake shortcut into OneLake
Fabric Mirroring from Azure SQL, Cosmos DB, Snowflake
Near-zero latency replication, no pipelines
Azure Data Factory pipeline migration
ADF pipelines retired and replaced with Dataflows Gen2
Fabric Lakehouse vs. Fragmented Azure Stack
Reduction in pipeline maintenance overhead
Data latency from source to lakehouse
Governed store — no data scattered across services
Microsoft Fabric Data Integration —
Built for Enterprise Operations
A real-time data integration platform isn't a product you buy — it's an architecture you build. MDI designs and implements end-to-end data pipeline integration services using Fabric Mirroring, Eventstream, and Dataflows Gen2, replacing brittle scheduled ETL with continuous, governed data flow across your entire operation.
Real-Time Data Integration
Fabric Eventstream captures operational data from IoT sensors, SCADA systems, PLCs, and MES in real time — sub-second latency, no batch window. Your lakehouse is always current.
SAP & ERP Integration
MDI has deep SAP ByDesign and S/4HANA integration experience. We connect your ERP transactional data into Fabric using certified connectors, OData feeds, or direct SQL mirroring — no middleware layer required.
Enterprise Data Pipeline Migration
Running ADF, SSIS, or Informatica? We migrate your data pipeline integration services into Fabric Dataflows Gen2 and Mirroring — reducing maintenance overhead and eliminating the nightly batch dependency.
Unified Data Integration Platform
We design the integration architecture so every business system — CRM, WMS, supply chain, finance — writes to one governed semantic layer. No siloed lakes. No reconciliation spreadsheets.
Data Integration Tools for Enterprises
Beyond the platform, we select and configure the right tools for your specific enterprise context: Fabric vs. ADF, Mirroring vs. Dataflows, Direct Lake vs. Import mode. Fit-for-purpose, not one-size-fits-all.
Power BI & Reporting Integration
Direct Lake mode means your Power BI reports run against the lakehouse directly — no export, no scheduled refresh, no import lag. One semantic model, all roles, live data from production systems.
Systems We Integrate in Production
How We Take You from Fragmented Data
to Compounding Intelligence
Every MDI Fabric engagement follows this delivery model — phased, measurable, and built to expand as business value compounds.
Connect ERP, MES, WMS, IoT, and CRM into a governed, always-live pipeline via OneLake and Fabric Mirroring.
Build the unified semantic layer — single source of truth with KPI definitions, dimensional models, and role-based access.
Deploy role-based dashboards and Fabric Data Agent — from plant floor to executive, answers in seconds.
Alerts, forecasting, AI agents, and automated workflows act on data signals without human delay.
Feedback loops, ROI measurement, and model retraining. Intelligence that improves itself over time.
What a Microsoft Fabric Implementation Costs
Honest ranges based on scope — not a sales floor that triples at signature.
Fabric capacity setup (F32 or F64), OneLake lakehouse design, 2–3 source integrations (ERP, SQL, flat file), Bronze-Silver-Gold data model, and a core Power BI dashboard set. Right for teams getting off Excel and on to a governed data platform for the first time.
- ✓Fabric capacity configuration
- ✓Lakehouse architecture
- ✓2–3 pipeline integrations
- ✓Core Power BI dashboards
- ✓User training
Full ERP integration (SAP B1, S/4HANA, or ByDesign), OEE or supply chain dashboards, automated reporting, Direct Lake Power BI deployment, and data governance framework. The common scope for a mid-market manufacturer or distributor.
- ✓SAP or ERP full integration
- ✓OEE / logistics dashboards
- ✓Automated pipelines
- ✓Direct Lake Power BI
- ✓Governance framework
Multi-source platform (ERP, WMS, TMS, IoT, 3PL), real-time data streams, AI-augmented analytics, multi-workspace governance, and Fabric Data Agent deployment. For organisations replacing a data warehouse or building a group-level analytics platform.
- ✓Multi-source integration (6+)
- ✓Real-time Eventhouse streams
- ✓AI agent layer
- ✓Multi-workspace governance
- ✓Full handover and support SLA
Microsoft Fabric licensing (F-SKU capacity) is a separate cost — typically AED 7,500–30,000/month depending on the SKU. F32 covers most mid-market workloads. F64 is recommended for organisations with more than 30 concurrent Power BI users or heavy Spark processing. We help you right-size before you commit.
Real-Time Analytics for Plant Operations
Most manufacturing analytics platforms refresh every 24 hours — an overnight batch run that loads yesterday's production data into a warehouse. That is fine for weekly KPI reporting. It is not sufficient for OEE monitoring, downtime response, or shift handover decisions.
Microsoft Fabric's Real-Time Intelligence stack — Eventhouse, KQL querysets, and event streams — supports sub-minute data latency from plant-floor sources. Production line data, sensor readings, and quality events can be visible in a Power BI dashboard within 30–60 seconds of the event occurring.
The architecture requires an intermediary layer between the plant-floor system (OPC-UA historian, SCADA, or IoT gateway) and Fabric — typically Azure IoT Hub or Azure Event Hubs. Once events reach Fabric, the Eventhouse handles ingestion, and KQL queries deliver the real-time views.
Availability, performance, and quality calculated from live production line events. Downtime events classified and logged automatically from PLC signals.
In-line quality measurements from sensor feeds or MES events. Reject rate trends visible within the shift, not the following morning.
Temperature, pressure, vibration, and cycle count from plant sensors. Threshold alerts routed to maintenance team before the line stops.
Outgoing and incoming shift supervisors see the same live data — production against target, quality position, open downtime events, and pending maintenance.
Per-line energy draw versus production output. Identifies energy efficiency by product type and highlights anomalous consumption patterns during unproductive periods.
What Fabric Delivers in Production
Hollandia Dairy
Packaging Manufacturer, GCC
Logistics Operator, Multi-DC
Ready to See What Fabric Can Do
for Your Operation?
A 30-minute call. No slides, no pitch deck. Just an honest conversation about your data situation and whether Fabric is the right move — and if so, where to start.