Microsoft Fabric is an end-to-end, unified data platform that combines data engineering, integration, real-time analytics, business intelligence, and AI. Unlike traditional data warehouses, it offers a single foundation with native support for Power BI, Synapse, Azure Data Factory, and AI workloads.

Timelines depend on your current architecture and volume of data. However, using Waferwire's Migration Accelerator Framework, many clients start realizing value in 4–8 weeks, with phased cutovers to minimize business disruption.

No. Our modernization approach is designed for minimal disruption. Existing reports and workflows remain operational while new infrastructure is deployed in parallel.

Yes. Microsoft Fabric is built on Azure and inherits enterprise-grade security, compliance, and governance controls — including certifications for HIPAA, SOC 2, ISO 27001, and more.

Real-time analytics are enabled through Azure Data Explorer and Event Streams within Fabric. This allows ingestion and analysis of high-velocity data in seconds — ideal for operational dashboards and alerting.

Yes. Our Enterprise AI integrations allow natural language queries, document summarization, and predictive insights across departments like Finance, Ops, and Marketing — all grounded in your enterprise data.

Minimal retraining is required. Fabric integrates with familiar tools like Power BI and Excel, and our onboarding includes enablement sessions tailored to your roles and teams.

We run comprehensive profiling, cleansing, and validation as part of every migration phase. Our framework ensures source-to-target accuracy and compliance with governance policies.

Common outcomes include 30–50% reduction in reporting costs, faster time-to-insight, improved decision accuracy, and lower infrastructure spend — typically within 6–12 months post-implementation.

Schedule a consultation. We’ll assess your current architecture, identify immediate wins, and map a clear plan to transition you to Microsoft Fabric — aligned with your business priorities.