Microsoft Fabric is an advanced tool that revolutionizes data analytics – including real-time analytics, combining various Microsoft services into one comprehensive platform. With a full suite of services, from Power BI to Data Factory, and a Real Time Analytics module, the tool enables companies to respond quickly to changing business conditions. Find out what Real Time Analytics is and how real-time data analytics can improve your company’s processes.

Real-time analytics – what is it?

Real-time data analytics is collecting, analysing and interpreting data as soon as it arrives in the system, enabling businesses and organisations to monitor and respond to events almost immediately. It is an approach that allows information to be kept up-to-date and decisions to be made based on the most recent data. In a business context, real-time analytics enables dynamic judgment, which is crucial in a rapidly changing environment.

Using advanced tools and technology, companies can analyse data in real-time, allowing them to adapt to market changes quickly, identify new trends, or respond to sudden events. Real-time analytics are critical in industries where instant decision-making is crucial, such as finance, e-commerce, logistics, or security-related areas.

In practice, real-time analytics can cover various areas, such as monitoring data streams, analysing user behaviour on websites, or tracking the performance of IT systems and sales levels. Data analytics is becoming increasingly necessary in the context of the increasing amount of data available and the need to access information quickly to manage operations and make sound business decisions effectively.

Real-time data analysis in Microsoft Fabric

With real-time analytics in Microsoft Fabric, organisations can seamlessly scale their existing analytics solutions while democratising data for citizen data specialists and advanced data engineers.

What is Real-Time Analytics?

Real-time Analytics is a fully managed Big Data analytics platform optimized for streaming and time-series data. It uses a query language and engine with excellent performance to search structured, semi-structured, and unstructured data. Importantly, Real-Time Analytics is fully integrated with the entire Fabric product suite, both in terms of data loading, data transformation, and advanced visualisation scenarios.

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

Real-Time Analytics is a fully managed platform for analysing large data sets. It offers the ability to search structured, semi-structured, and unstructured data. Through this, the whole process of data analysis is much faster and more efficient.

Also contributing to this is the fact that all important data can be loaded from any source and in any format, and the handling of analytical queries can be performed directly on the raw data.

Using Microsoft Fabric and Real-Time Analytics, you will also gain fast response times by using a wide range of available operators. This has a positive impact on the working time spent on data analysis and translates into the quality of business decisions.

It is also worth mentioning that the Real-Time Analytics module provides seamless integration with other environments and components available under the Microsoft Fabric umbrella.

In which areas of company operations is real-time data helpful analytics?

Real-time analytics has become crucial in many aspects of business operations, such as cyber security, asset tracking and management, predictive health checks, supply chain optimisation, marketing, customer service, energy management, inventory management, quality control, environmental monitoring, fleet management, and health and safety.

For example:

Microsoft Fabric Real Time Analytics in Marketing

When implementing a new marketing campaign, Real-Time Analytics allows you to analyse the immediate impact of promotional activities on sales, inventory and logistics. This is because large amounts of data can be streamed into the database with a latency of just a few seconds, and then a set of queries can be used to analyse campaign performance and visualise the results in a Power BI report. With the resulting insights, you can modify various aspects of the campaign at will and gain easy insights into real-time effects. You can also grant access to the database to different teams in the company, such as the finance and production departments, to analyse streaming data, and adjust costs and the product manufacturing process accordingly.

Microsoft Fabric Real-Time Analytics on sale

A business analyst working for a global retailer is responsible for analyzing incoming data and communicating his insights to key stakeholders in the company. Data can be collected and stored from a wide variety of sources, such as manufacturers, shippers, and suppliers, in different formats such as structured, semi-structured, and unstructured data. All of this useful data is captured in a KQL database, providing a scalable solution for the growing volume of data, capable of holding billions of records that can be stored for years for search and comparison with streaming data. Using the KQL query set, you can not only perform time series analysis but also create reports and visualizations in Power BI, quickly detect anomalies, and collaborate with project managers on dashboards to make better business decisions.

Why is real-time analytics so important?

As we mentioned, over the past few years there has been a change in the approach to how we obtain and use information. Users have become accustomed to data that is interactive, available on demand, and virtually unlimited.

This change has been driven by large data sets, streaming data acquisition, and keyword-based, indexed search. All of this combined has translated into a much better user experience.

Today, real-time data analytics is a key business branch, capable of revolutionising decision-making processes and dynamically shaping an organization’s strategies. In the face of a rapidly changing business environment, the ability to analyse data instantly is becoming not just a luxury but a necessity. With real-time analytics, companies gain the ability to monitor events in real-time. This makes it possible not only to react quickly to changes but also to solve potential problems.