Microsoft Fabric Real Time Intelligence: 4-Week PoC

As industries rely more on live data streams from sensors, machines, and external platforms, traditional systems are struggling to process and deliver instant actionable insights and automated responses to emerging trends or anomalies at the required speed and scale. Problems like fragmented data, high latency, and complex integrations can cause delays in critical decision-making and operational responses.

WinWire’s Microsoft Fabric Real-Time Intelligence PoC

WinWire is assisting customers in showcasing the capabilities and business values of Microsoft Fabric Real-Time Intelligence through a rapid Proof-of-Concept (PoC). They achieve this by utilizing Fabric's unified data platform to offer businesses cutting-edge real-time analytics. This PoC illustrates how organizations can integrate, analyze, and act on real-time and event-driven data streams, leading to improved operational efficiency and decision-making capabilities. The goal of this PoC is to empower stakeholders to present a compelling business case for their organization's adoption of advanced real-time analytics. This includes the use of alerts and agents to derive actionable insights in a collaborative environment involving data engineers, business analysts, and data scientists.

Business Benefits PoC

• Cost savings: Microsoft Fabric and cloud infrastructure cuts costs by 30% vs. on-premises.
• Faster decisions: Real-time processing boosts decision speed by 90% over batch methods.
• Faster deployment: Fabric's unified platform enables 40% faster deployment.
• Less downtime: Predictive analytics reduce downtime by 30%.

Key Features

• Real-Time Data Processing and Insights: Validating real-time data ingestion, processing, and visualization within the Microsoft Fabric ecosystem, showcasing how Fabric Real Time Intelligence can drive actionable insights from real-time data sources like IoT devices and sensors, telemetry, network and security monitoring.
• Seamless Integration with Microsoft Ecosystem: Ensuring smooth integration with existing Microsoft services (Azure, Power BI, Event Hub, IoT Hub) and other streaming data sources.
• Microsoft Fabric's Unified Platform: Utilizing Microsoft Fabric’s end-to-end platform capabilities, from data ingestion to advanced analytics and governance
• Scalable and Flexible Solution: Microsoft Fabric’s seamless scaling capabilities, allowing businesses to handle growing data volumes and complex analytics use cases effortlessly.
• Enhanced Data Security and Compliance: Governance with Microsoft Purview (optional) along with Microsoft’s built-in native security features ensuring adherence to regulatory and compliance requirements for real-time and event driven data processes.
• Citizen Enablement: Fostering citizen enablement with low code-no code experience for data engineers, BI developers, analysts and data scientists.

Our Approach

• Step 1: Assessment and Discovery: Assess your current technology landscape and business needs for real-time insights.
• Step 2: PoC Architecture and Implementation: Design and deliver a customized PoC that aligns with your objectives, ensuring maximum ROI from Microsoft Fabric’s Real Time Intelligence capabilities.
• Step 3: Evaluation & Scale-out Planning: At the end of the PoC, we will present a comprehensive evaluation and a roadmap for scaling the real-time analytics across your organization.

PoC Tech Stack

• Microsoft Fabric Real-time Intelligence.
• Microsoft Purview (optional) for governance.
• Power BI for visualizing real-time insights.
• Event Hubs, IoT Hub, other streaming protocols (pre-requisite).

Key Deliverables

• Fully operational real-time data pipelines (1 data source, 1 schema design).
• Dashboards (3 numbers) and alerts (limit 10).
• Architecture recommendation for scaling.
• User manual for Fabric services in PoC.
• Production roll-out plan for enterprise-wide adoption.
Leverage our rapid 4-week PoC solution and experience the value of unified experience for real time-insights using Microsoft Fabric’s SaaS services in a unified business model.