List of the Most Used Business Analytics Tools

Speaking of the long list of the most used business analytics tools, let us speak of those software systems which experts use to run the efficiency of business activities and tasks purely for growth and practical development in all of its areas. Let us define what business analytics means!

Business analytics is a set of disciplines and technologies for solving business problems using data analysis, statistical models and other quantitative methods. It can also refer to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning.

Repeatedly, it involves an iterative, methodical exploration of an organization’s data, with an emphasis on statistical analysis, to drive decision-making.

Since the beginning of the 21st century, a variety of new career options and employment paths emerged, which did not exist before. However, no career choice can match Business Analytics in salaries, learning, and training opportunities in everyday work.

With businesses increasingly leveraging business analytics tools, multiple avenues are opening up for qualified business analysts in diverse sectors, including automotive, healthcare, retail, banking, hospitality, and aviation.

Depending on your skills and interests, you may specialize in a business analyst role, such as Big Data Engineer, Data Scientist, Database Administrator, Marketing Analytics Manager, or Data Visualization Specialist.

Most Used Business Analytics Tools

One after the other, let us discuss this list of the most used business analytics tools and then figure out which one will be most useful together:

  • Board

Board features in the list of top-rated business analyst software tools because of its industry-leading business analytics model that permits users to create interactive and intuitive business analytics reports and dashboards.

The highly-scalable business analytics platform integrates the best-in-class analytical tools for business, including a powerful statistics suite.

The Board business analytics tool can manage massive data volumes, and it can also support accurate scenario analysis and forecasting by manipulating the data supplied to scenarios.

  • SAS Business Analytics (SAS BA)

The high-grade text analytics capabilities of the SAS-based business analytics software allow users to inspect and transform unorganized text data into relevant information that analysts can explore to discover meaningful insights.

SAS BA is fully-loaded with a range of statistical tools, which simplify the process of analyzing large sets of data in real-time. The top-of-the-line business analytics platform also predicts future trends from the information harvested from big data.

  • Microstrategy

The Microstrategy business analytics software integrates superior analytics capabilities that allow hassle-free processing of unstructured text data, which specialists can further analyze via the platform’s text analytics solutions.

One of the most up-to-date business analytics tools, Microstrategy, incorporates insightful analytical and statistical capabilities that enable real-time trend forecasting, with options for third-party data mining.

The first-rate business analytics tools, combining a range of business analysis tools and techniques, lets users create and share business analytics reports from anywhere and on any device.

  • QlikView

QlikView is one of the most preferred tools for business analytics because of its unique features, such as patented technology and in-memory processing, facilitating the delivery of ultra-fast business analytics reports.

Included among the best business analyst tools, QlikView allows users to visualize data relationships using specific colors for related and non-related data with automatically maintained data association, compressed to 10 percent of its native size.

  • Apache Storm 

A distributed stream processing computation system called Apache Storm is usually created in the Clojure programming language. The project was initially developed by Nathan Marz and, therefore, the BackType team. Then after being purchased by Twitter, it was made open source.

A system for networked real-time computation called Apache Storm is free and open source. It is easy to use, compatible with any computer-oriented language, and plenty of fun to use Apache Storm!

  • Dundas BI

The fully-equipped Dundas BI offers first-class business analytics and business intelligence solutions using the R programming language.

With robust business analytics tools, Dundas BI provides automated analytics, trend forecasting, and a high-level dashboard that helps users visualize data and create business analytics reports through easy-to-use drag-and-drop features.

  • Domo

By combining all of your data and putting it to use across any business process or workflow, the Domo Business Cloud, a low-code data app platform, expands the capabilities of business intelligence.

  • Sisense

Sisense – one of the most popular business analyst software tools – incorporates dynamic and robust text analysis functionalities that enable users to transform unstructured text into valuable business intelligence.

The Sisense business analytics platform, which features the proprietary Sisense Crowd Accelerated BI, uses open-source language for computational statistics. It allows users to perform extensive analysis and visualization of complex data, which promotes data-driven decisions and improved forecasting of future trends.

  • Power BI

Microsoft makes Power BI among the many business analytics tools. It offers dynamic visualizations with self-service business intelligence features, allowing end users to create dashboards and reports independently without assistance.

  • TIBCO Spotfire

TIBCO Spotfire, recognized as one of the most advanced tools for business analytics, offers powerful and automated analytics solutions that allow data professionals to run business analytics reports and analysis over a defined time span.

The latest upgrade of the Spotfire platform has significantly improved TIBCO’s scalability, statistical analysis capabilities, and capacity to analyze text-based unstructured data.

  • RapidMiner

RapidMiner may be a data science platform created for businesses that examine the influence of an organization’s workers, knowledge, and data taken as an entire. The info science platform from Rapid Miner is designed to assist numerous analytics users across a comprehensive AI lifecycle.

  • Tableau Big Data Analytics

Experts agree that Tableau Big Data Analytics is one of the best business analyst software, given its dynamic and cutting-edge capabilities for unstructured text analysis.

Tableau’s business analytics platform, which includes robust and reliable statistical tools, empowers users to perform an in-depth analysis of social media networks, and predict patterns based on current and historical data.

  • R and Python

R and Python are the two most popular programming languages utilized in the data analytics industry. Python may be a high-level, elaborated language with dynamic semantics and easy syntax, whereas R is an open-source program used for analytics and statistics.

  • Apache Spark

Apache Spark may be a data processing engine designed primarily for big data analytics, often called large-scale data analysis. It’s a remarkably flexible analytics choice because it can function on a variety of platforms, like Hadoop, Apache Mesos, or Kubernetes. In addition, due to its in-memory data engine, it’s renowned for being developer-friendly and highly quick.

This platform is meant for data scientists and engineers working on enterprise-scale analytics. Spark is suitable for several use cases, including managing real-time data streams and training machine learning algorithms, because of its flexibility and petabyte-scale processing capability.


In 2004, a team of expert software engineers from the University of Konstanz in Baden-Württemberg, Germany, developed the innovative KNIME business analytics platform.

Renowned as one of the best high-performance business analyst software, KNIME, via its unique data-pipelining approach, facilitates varied components for machine learning and data mining that support persistent analysis, visual programming, and seamless business analytics report.

  • Splunk

Splunk is one of the most widely used business analytics tools in small and medium scale industries.

Initially launched for processing machine log file data, Splunk has added a host of sophisticated features over the years, including a user-friendly web interface and various visualization options.

  • Excel

Microsoft Excel, one of the most widely used tools for data analytics, offers users options like sharing workbooks, performing on the most recent version for real-time collaboration, and uploading data directly from a photograph to Excel, among others.

Almost all businesses use Microsoft Excel daily to glean actionable insights from the data. Here are some recent improvements to the Windows platform:

  • Workbook Statistics allow you to require a snapshot of your workbook.
  • You may add backgrounds and premium stock photos to your documents for no charge to offer them more flair.

Leave a Reply