Microsoft Fabric StreamOps: Implementation

NOVENTIQ

Get faster, smarter factory insights with real-time dashboards and unified data from machines, ERP, and sensors using Microsoft Fabric.

Microsoft Fabric StreamOps by Noventiq transforms manufacturing operations by enabling unified reporting and real-time intelligence through Microsoft Fabric. It integrates data from MES, ERP, CRM, and IoT systems into a governed analytics fabric using the Medallion Architecture.

Key Features and Use Cases:

  1. Medallion Architecture: Bronze (raw ingestion), Silver (cleansing & enrichment), Gold (analytics-ready datasets).
  2. Real-Time Eventstreams: Ingest live shop-floor data including machine health, energy usage, and safety metrics.
  3. Streaming Dashboards: Power BI dashboards with real-time alerts, KPI thresholds, and anomaly detection.
  4. Automation Integration: Trigger workflows via Power Automate or Logic Apps.

Customer Benefits:

  • Accelerate reporting from days to minutes.
  • Gain instant visibility into operational anomalies.
  • Unify data governance across manufacturing systems.
  • Enable scalable, secure analytics across plants.

Here is our unique approach to Solution Deployment:

  • Discovery and Assessment: 5 days. Business pain point mapping, system inventory, Fabric fitment analysis.
  • Lakehouse Setup: 10–12 days. Configure ingestion pipelines, notebooks, and modelled datasets.
  • Real-Time Streaming Enablement: 8–10 days. Eventstreams setup, real-time analytics, Power BI dashboards.
  • Testing and Deployment: 3–5 days. Streaming validation, alert rule configuration, dashboard QA.
  • Enablement and Handover: 2–3 days. Training sessions, RBAC configuration, adoption playbook.
  • Optional Enhancements*: Predictive models, digital twin integration, multi-plant rollout.

Estimated Timeline: 4–5 weeks (20–25 business days)

Estimated Cost: ₹9,00,000 – ₹11,00,000

  • Real-Time Eventstreams + Analytics: ₹2,00,000 – ₹3,00,000
  • Optional Enhancements: Priced based on scope

*Optional Add-ons: Predictive maintenance models, digital twin integration, regional data segmentation

Built With: Microsoft Fabric (Lakehouse, Eventstreams, Real-Time Analytics), OneLake, Microsoft Power BI, Microsoft Power Automate, Azure IoT (optional)

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