Data analytics is the backbone of the modern business environment. In order to efficiently process the large amounts of information generated by various fields of human activity and technological systems, companies and data analysts require powerful data analytics tools. By 2025, the market will offer a wide range of solutions, each with its own features and benefits.
AIN has compiled a list of nine popular tools which can help analysts, managers, marketers, and data scientists work with large amounts of information – from visualization to building models and forecasts.
Tools are typically employed during the following stages of the data analysis process:
Data mining helps identify key characteristics and patterns in large data sets. Specialized software automates the search for trends and structures in data.
Data visualization converts “dry” numbers into understandable graphs and charts. This makes it easier to identify trends and insights that are difficult to discern in tabular form.
Business analytics allows you to make informed decisions, improve efficiency and customer experience, and strengthen your company’s competitive position, regardless of its size.
Here are nine powerful analytics tools.
Data visualization tools
Google Looker Studio
Image: Google
This free platform from Google is a powerful tool for creating interactive reports and dashboards. It integrates seamlessly with other Google services and supports connectivity to a variety of data sources.
Tableau
Image: Tableau
One of the most popular tools on the market, known for its intuitive interface and extensive visualization capabilities. Tableau allows you to create complex graphs and interactive dashboards that simplify data analysis for business.
Power BI
Image: Microsoft
A solution from Microsoft that offers a comprehensive set of tools for business intelligence. Power BI is characterized by tight integration with other Microsoft products and powerful capabilities for creating reports and visualizations based on various data sources.
Data mining tools
RapidMiner
Image: RapidMiner
This is a comprehensive data mining and model development package that allows you to work with data at many stages, including preparation, visualization, and review.
Orange
Source: Orange
A simple tool with a “colorful” interface and a set of widgets for classification, clustering, text analysis, and visualization.
KNIME (KoNstanz Information MinEr)
Source: KNIME
A free open source tool with extensive integration capabilities (Python, R, SQL) and support for extensions. Suitable for large companies that want to train their employees in basic analytics.
Tools for business analytics
Qlik
Source: Qlik
A global company designed to help businesses use data to make decisions and solve problems by providing comprehensive solutions for real-time data integration and analysis.
Google Analytics
Source: Google Analytics
A tool that helps to track user behavior, advertising effectiveness, and traffic sources. The main tool for working with digital products.
Spotfire (TIBCO)
Source: Spotfire
A user-friendly platform that transforms data into actionable insights, allowing you to analyze historical and real-time data, predict trends, and visualize results on a single, scalable platform.