NeenOpal – Microsoft Fabric Analytics Implementation

This professional service helps organizations design and implement production-ready analytics on Microsoft Fabric, focusing on data modeling, semantic layers, and Power BI reporting.

The engagement is intended for customers who already have data available in Microsoft Fabric, Azure, or existing data platforms and want to improve analytics quality, performance, and adoption without undertaking a full data migration.

NeenOpal implements Fabric-native analytics patterns that enable trusted reporting, governed access, and scalable insights for business users.

What this service includes:

1. Microsoft Fabric workspace configuration for analytics workloads

2. Fabric Lakehouse setup to support reporting and modeling

3. Data modeling and transformations aligned with Fabric best practices

4. Semantic model design optimized for Power BI on Fabric

5. Role-based Power BI dashboards and reports

6. DAX and query performance optimization

7. Row-Level Security (RLS) and access control configuration

8. Validation, testing, and knowledge transfer

Outcomes:

-> Reliable, high-performance analytics built natively on Fabric

-> Improved report adoption and user trust

-> Consistent metrics across teams and roles

-> A scalable analytics foundation ready for future expansion

This offering follows Microsoft-recommended Fabric analytics patterns and is ideal for organizations looking to strengthen reporting and insights without large-scale data platform migrations.