10 Advanced Data Analytics Tools for Data Analysts in 2022 – Analytics Insight


December 26, 2021

Data analytics

Data analytics tools are the software and applications that data analysts use to develop and perform analytical processes

To perform data analysis at the highest level possible, data analysts and data experts will utilize data tools and software that will guarantee the best outcomes in a few undertakings from executing algorithms, preparing data, generating predictions, automating processes to standard tasks such as visualizing and reporting on the data. Even though there are a significant number of these solutions on the market, data analysts must choose wisely to benefit their analytical efforts. Data analyst tools is a term used to describe software and applications that data analysts use to develop and perform analytical processes that help companies to make better, informed business decisions while decreasing costs and increasing profits. Changing raw data into a structure that assists the administration with settling on better choices is anything but an intense errand to achieve when you have the right data analytics tools in place. On that note, have a look at the top 10 data analytics tools for data analysts in 2022.


Talend is one of the most powerful data analytics tools available in the market and is developed in the eclipse graphical development environment. Being named as a Leader in Gartner’s Magic Quadrant for Data Analytics Tools and Data Quality tools 2019, this tool lets you easily manage all the steps involved in the ETL process and aims to deliver compliant, accessible, and clean data for everyone.


QlikView is self-service business intelligence, data visualization, and data analytics tool. Being named a leader in Gartner Magic Quadrant 2020 for analytics and BI platforms, it aims to accelerate business value through data by providing features such as data integration, data literacy, and data analytics. It is one of the best data analyst tools for data analysts in 2022.

Apache Spark

Apache Spark is one of the most successful projects in the Apache Software Foundation and is a cluster computing framework that is open-source and is used for real-time processing. Being the most active Apache project at the moment, it comes with a fantastic open-source community and an interface for programming. This interface makes sure of fault tolerance and implicit data parallelism.

Power BI

Power BI is a Microsoft product used for business analytics. Named as a leader for the 13th consecutive year in the Gartner 2020 Magic Quadrant, it provides interactive visualizations with self-service business intelligence capabilities, where end users can create dashboards and reports by themselves, without having to depend on anybody. It is one of the best data analytics tools for data analysts in 2022.


ThoughtSpot is one of those data analytics tools that offer next-generation search. This tool is home to a wide range of compelling features, especially on the AI-based recommendation systems front. Additionally, this feature stands the potential to leverage crowd-sourcing as well. It is one of the best data analyst tools for data analysts in 2022.


RapidMiner is the next tool on our list. Being named a Visionary in 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, RapidMiner is a platform for data processing, building machine learning models, and deployment.


Tableau is a market-leading business intelligence tool used to analyze and visualize data in an easy format. Being named as a leader in the Gartner Magic Quadrant 2020 For the eighth consecutive year, Tableau allows you to work on a live data set and spend more time on data analysis rather than data wrangling.

Microsoft Excel

Microsoft Excel is a platform that will help you get better insights into your data. Being one of the most popular tools for data analytics, Microsoft Excel provides the users with features such as sharing workbooks, working on the latest version for real-time collaboration and adding data to Excel directly from a photo, and so on.


Alteryx is that one tool that companies can use to discover and analyze the data. Not just that – this data analytics tool helps in finding deeper insights by deploying and sharing the analytics at scale. With Alteryx in place, one can centrally manage users, workflows, data assets, etc. into the processes. It is one of the best data analytics tools for data analysts in 2022.

Konstanz Information Miner (KNIME)

KNIME is a free and open-source data analytics tool that does everything from cleaning and gathering data to making it accessible to everyone. KNIME is known in the market for the deployment of data science workflows. One of the best features of this data analytics tool is that you need not have prior programming knowledge to derive insights.

Share This Article

Do the sharing thingy

Spread the love

Leave a Reply

Your email address will not be published.