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Azure

Data analytics for AI

Realize value from data and generate near-real-time insights with advanced Data analytics for AI solutions

Maximize your data value

Prepare your data for AI transformation to build accurate models and gain valuable insights.
SOLUTION OVERVIEW

Activate your data for AI innovation

  • Future-proof and streamline your data estate. Unify your data and analytics workloads on a single, open, governed, cloud-based foundation that facilitates responsible data discovery.
  • Get deeper insights into your data. Use prebuilt or custom generative AI solutions to ask questions about your data in natural language—without moving it to an app-specific infrastructure.
  • Expedite innovation and discover new revenue opportunities. Empower everyone with robust self-service analytics tools to facilitate near-real-time insights.
  • Democratize data for your teams. Layered security and governance capabilities help you quickly gain value from your data without compromising protection.
PRODUCTS

Learn more about Azure analytics services

Microsoft Fabric

Reshape how everyone accesses, manages, and acts on data with a single, AI-powered platform.

Azure Databricks

Enable an open data lakehouse in Azure with a fully managed first-party service.

Microsoft Power BI

Visualize your data and share insights across your organization with a unified self-service and enterprise analytics solution.

Microsoft Purview Data Governance

Confidently manage your data estate with a federated governance approach.

Azure Machine Learning

Build, deploy, and manage high-quality models with an enterprise-grade AI service for the entire machine learning lifecycle.

Azure AI Studio

Deliver AI solutions faster with prebuilt and customizable models, using your data to innovate at scale.
LEARNING HUB

Get the latest cloud analytics news and resources

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Webinar

Getting Started with Microsoft Fabric in 60 Minutes

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E-book

Modern Analytics: A Foundation to Sustained AI Success

Documentation

Learn how to use Azure Databricks

RESEARCH INSIGHTS 

Achieve measurable business benefits

  • Forrester saw a 379% return on investment for companies deploying Fabric in their 2024 Total Economic Impact™ Study.1
  • Microsoft is recognized as a Leader in analytics and business intelligence platforms for the seventeenth consecutive year.2
CUSTOMER STORIES

Customers realizing data-driven transformations

NEWS

Latest blogs

Microsoft Security Blog
• July 16, 2024

Microsoft Purview Data Governance became generally available September 1, 2024

Microsoft Fabric Updates Blog
• August 6, 2024

Introducing AI skills in Microsoft Fabric: Now in preview

Microsoft Azure Blog
• June 10, 2024

Azure Databricks: Differentiated synergy

Microsoft Official Blog
• April 2, 2024

Sustainable by design: Advancing the sustainability of AI

NEXT STEPS

Access expert guidance with Azure Innovate

Get advanced AI in data analytics and support for building AI-infused and custom cloud-native applications.
Free trial

Start a free 60-day trial with Microsoft Fabric

Realize your organizational goals with a comprehensive data analytics solution that helps reshape how your entire team uses data.
Free trial

Explore Azure Databricks

Accelerate data-driven innovation with an Azure free account and 14 days of free Azure Databricks Units.
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Contact us

Consult a Sales specialist

Learn how get started unifying your data estate and empowering everyone in your organization to expedite innovation.
  1. [1]
    The Total Economic Impact™ Of Microsoft Fabric, A Forrester Total Economic Impact™ Study Commissioned by Microsoft, May 2024.
  2. [2]

    GARTNER® is a registered trademark and service mark and MAGIC QUADRANT™ is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

    Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

    Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, Kurt Schlegel, Anirudh Ganeshan, David Pidsley, Julian Sun, Georgia O'Callaghan, Christopher Long, Kevin Quinn, Fay Fei, Edgar Macari, Jamie O'Brien, June 20, 2024.

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