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Health Catalyst Migration to Microsoft Fabric and Azure: 3-Day Workshop
Modernize your health analytics platform by enabling Gen AI, AI-ML use-cases with Microsoft Fabric and Azure.
The Health Catalyst data and analytics platform improves patient care, but it does have some limitations. Creating detailed visualizations using its built-in applications is difficult, and using third-party tools significantly raises operating costs. The platform's user interface can be counter-intuitive, which hampers the full use of the insights it provides. Additionally, it may not scale well for processing large volumes of data, integrating different data sources, and analyzing unstructured data, which leaves many businesses wanting more. To take advantage of advanced Gen AI and Microsoft CoPilot capabilities while controlling costs with a unified business model and consistent user experiences throughout their data and analytics services, many enterprises choose Microsoft Fabric. For those not yet using Microsoft Fabric, they can still benefit from advanced capabilities by using Azure data platform and services. This approach allows them to gain advanced insights that can significantly improve patient care.
Health Catalyst to Microsoft Fabric Workshop
WinWire can assist you in modernizing your health care analytics platform, built on the Health Catalyst platform, by migrating it to Microsoft Fabric and Azure using incremental steps. This 3-day workshop is intended to help you with an assessment and plan for quick onboarding to Microsoft Fabric and Azure, covering:
How WinWire Can Help?
WinWire can help you quickly migrate from the Health Catalyst data and analytics platform to a modern SaaS model-based unified solution in Microsoft Fabric and Azure data platform. This migration can result in significant costs and time savings. We use WinAIDQ for automated data ingestion and WinMaaS migration framework to make the process efficient. Leverage our rapid 3-day workshop for future proofing your patient care analytics solution by migrating to Microsoft Fabric and Azure data platform and services.