Polestar's 12-week Microsoft Fabric Implementation on Azure unifies fragmented data landscapes and create an intelligent ecosystem by using Microsoft Fabric’s advanced technologies.

Our Microsoft Fabric Implementation consolidates disparate data sources into a centralized, secure environment, enabling organizations to break down data silos, accelerate insights, and drive strategic decision-making through advanced analytics, real-time reporting, and seamless integration using Microsoft Fabric's robust toolset.

Our 12-week Data Fabric Implementation roadmap is divided into 4 phases-

1. In the Discovery Phase, we will work closely with your organization's stakeholders to identify data challenges, define goals, and set priorities. During this phase, we assess data maturity, skillsets, and overall readiness to ensure a smooth and successful Microsoft Fabric implementation.
2. In the Design & Architect Phase, we outline targeted use cases and craft a future-state architecture leveraging Microsoft Fabric tools. This includes OneLake for unified data storage, Data Factory for orchestration, and Power BI for analytics and visualization. Additionally, we incorporate Microsoft Synapse and develop deployment strategies to enable seamless integration.
3. In the Build Phase, we implement a Modern Medallion Architecture by configuring efficient data pipelines using Data Factory and transforming data to enable advanced analytics in Power BI. Custom models are developed in Lakehouse, supported by Microsoft Synapse, to promote self-service BI, ensuring analytics are democratized across your teams.
4. Finally, in the Test & Review Phase, we thoroughly monitor and validate the Microsoft Fabric setup to ensure peak performance and efficiency. This phase includes rigorous testing and hands-on knowledge transfer, empowering your organization to fully harness the capabilities of Microsoft Fabric.

This solution is ideal for:

Chief Data Officers, Chief Analytics Officers, CIO/CTO, Data Science Head, Head of Data Engineering

Polestar’s Fabric Implementation Service

1. Data Estate Optimization:

Streamline data ingestion, automate lakes, optimize warehouses, and enhance discoverability with cataloging and MDM which will help organize your data estate for maximum accessibility and usability.

2. Data Migration and Modernization:

Ensure simple lift ‘n’ shift or completely modernize your data estate, employ data cleansing strategies in real-time

3. Analytics + AI:

Provide teams with smarter tools for analysis and ensure business agility with advanced AI integration. This included self-service analytics, ML model deployment, and AI-driven insights.

4. Advanced Intelligence:

Leverage event-driven architectures, Gen AI chatbots, and prescriptive analytics for future-ready solutions. Stay ahead with real-time responsiveness and actionable intelligence tailored to your needs.