Business decision makers

With the breakneck speed at which technology is changing, more and more applications, big and small, are being created every day.

If you are like many of our customers, you are running a mix of applications in your on-premises datacenters, multiple cloud environments, and edge.

Organizations today must embrace a data-driven culture or risk being left behind. A recent Harvard Business Review survey found organizations with data-driven cultures improve revenue by four times and unlock rich insights to drive meaningful business transformation and customer satisfaction.

Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health.

Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.

Whether you’re a new student, thriving startup, or the largest enterprise, you have financial constraints and you need to know what you’re spending, where, and how to plan for the future.

Microsoft Azure provides a trusted path to enterprise-ready innovation with SAP solutions in the cloud. Mission critical applications such as SAP run reliably on Azure, which is an enterprise proven platform offering hyperscale, agility, and cost savings for running a customer’s SAP landscape.

Azure Site Recovery now supports customization of networking configurations for test failover independent of failover settings.

Today, Microsoft becomes the first cloud with a fully managed, first-party service to ingest, persist, and manage healthcare data in the native FHIR format. The Azure API for FHIR® is releasing today in generally availability to all Azure customers.

Can you trust your cloud provider?

The release of the Application Insights ASP.NET Core 2.8.0 SDK for Web Applications and the Application Insights Worker Service 2.8.0 SDK for Non-web Applications delivers new value to developers.

In today’s data-driven world, big data processing is a critical task for every organization. To unlock transformational insights and embrace a data-driven culture, companies need tools to help them easily integrate and transform data at scale, without requiring specialized skills.