Real-Time Intelligence in Microsoft Fabric

Real-time data analysis

What is Real-Time Intelligence?

As a certified Microsoft Partner, we support companies in implementing Real-Time Intelligence within the Microsoft Fabric platform.

Stable access to data

With real-time analytics in Microsoft Fabric, you can scale and grow your analytics solutions while democratizing data. This way, both citizen data analysts and advanced data engineers can turn data into valuable business insights.

A wide range of possibilities

Real-time analytics is essential for the growth of many businesses. Cybersecurity, asset monitoring, supply chain optimization, customer service, energy and inventory management, quality control, environmental monitoring, fleet management, health and safety. The possibilities are endless.

Simplified management

Real-time analytics reduces complexity and simplifies data integration. Quick access to detailed information is achieved through automatic data streaming, indexing, and segmentation from any source and in any format, as well as on-demand query generation and visualization.

24/7 access to data

How can Real-Time Intelligence in Microsoft Fabric help your business?

Over the past few decades, there has been a shift in how we access and use information. Users have become accustomed to data that is interactive, available on demand, and accessible to everyone. This trend has also forced changes in business processes. Today, companies that have access to real-time data, regardless of time zone, gain a market advantage. Real-Time Intelligence performs precisely these tasks.

Fully managed platform for big data analytics
Ability to search structured, semi-structured, and unstructured data
Easy acquisition and loading of data from any source, in any format
Handling analytical queries directly on raw data
Short response time, using a wide range of available operators
Seamless integration with other environments and components in Microsoft Fabric

Ask for a quote from a Microsoft Partner Ask for a quote from a Microsoft Partner

Real-time analytics

Key data at your fingertips

Real-time data analysis is crucial in today’s dynamic business environment. It enables companies and organizations to respond immediately to events and trends as they occur, rather than reacting later to historical data.

Instant access to up-to-date information
The ability to use complex calculations and statistical models
Many data visualization options
Data-driven decision making
Configuring notifications with Data Activator
Improved business operations

Learn more Learn more

200 +

completed implementations

500 +

satisfied customers

1000 +

developed analyses

10000 +

trained customers

The path to immediate answers

Real-Time Intelligence in Microsoft Fabric – why is it worth using?

Real-time data stream analysis

The Real-Time Intelligence service available in Microsoft Fabric enables instant real-time data analysis, allowing you to respond quickly to changing conditions and events.

Process automation

With Real-Time Intelligence in Microsoft Fabric, you can program automatic responses and interactions based on data stream analysis, which increases process efficiency and optimizes operations.

Visualization and reporting

The Microsoft Fabric platform, combined with Real-Time Intelligence, enables the creation of advanced visualizations and reports in real time, facilitating data monitoring and analysis.

Anomaly monitoring and detection

Thanks to advanced real-time analysis mechanisms, anomalies and irregularities in data can be detected instantly, which is crucial for ensuring the quality and security of business processes.

Enhanced personalization

Real-time data allows for immediate personalization of offers and interactions with customers, which can significantly improve user experience and increase customer loyalty.

Excellent scalability and flexibility

Real-Time Intelligence offers excellent scalability, allowing it to handle large amounts of streaming data, as well as flexibility in adapting analysis to different use cases.