The Best of 10 Data Analytics Tools for 2022

If you are able to use data effectively, it is a vital asset for any company. Studies show that 59% of businesses use analytics at least once a year, while 49% say that analytics aids them in making better decisions.

Data analytics tools can be used to assist companies in accessing, combining, and understanding various streams of data. Technology can be used to help you identify potential trends in the data, as well as assess the quality of the data.

Companies are increasingly looking for deep data insights. As a result, there is a greater number of data analytics tools. These are only a few of the best data analytics tools for 2022.

SAP

SAP is one of the most influential companies in the technology industry. With a unique knowledge of semantics and business processes, the company provides direct connectivity to many data sources. This gives every user an unparalleled insight experience.

SAP’s “unified data analytics” approach is designed to assist businesses of all backgrounds to transform raw data into actionable and meaningful insights. In no time, you can combine information from many different environments and perform quality testing.

Alteryx

Alteryx promises extraordinary data insights and knows how to deliver. This solution offers everything, from easy drag-and-drop data preparation to data blending across multiple environments in minutes. In no time you can get in-depth insights using a variety of tools, which dramatically improves your time to insight.

Alteryx is a pioneer in simplifying the automation of analytic processes. The APA platform allows data scientists, data analytics, and data processing to be unified in one simple-to-use tool.

Tableau

Tableau, one of the most well-respected names in data science, analytics, and data management, is an end-to-end approach to data analysis that opens up new opportunities for companies around the world. Tableau excels in areas such as self-service visual analytics or data management. It allows companies to prepare and understand data like never again, and then share it with their team.

This collaborative environment allows you to easily examine big data insights and pose new questions about the different sources of governed data in your ecosystem. Visual analytics platforms make data easier to access.

Qlik Sense

QlikSense was previously QlikView. It is a collection of data analytics products specifically designed for the Qlik Associative Engine. This product is the next generation in self-service data analysis. Qlik Sense promises to be one of the most efficient ways to analyze, understand and analyze business data. It offers everything you need, from easy data loading to interactive smart visualizations.

Qlik Sense SaaS is completely free to use for both personal and business purposes. This tool also includes drag-and-drop dashboards and data storytelling tools for sharing insights.

SQream Technology

SQream Technology provides business leaders with a hybrid analytics platform that allows them to gain faster insight into their most important business data. SQream Technology’s platform is available in many cloud environments including AWS and Azure. This makes it easy to find trends.

SQream’s speed is one of the most appealing aspects of its ecosystem. SQream can deliver unmatched cost-performance of 30TB at more than four times the speed of its competitors. You can speed up your time to insights on any size data thanks to the exceptional speed of the technology and the company’s commitment to simplicity.

Domo

Domo describes itself as the modern solution to democratized business intelligence. It is a rising leader in the market for analytics. The company makes data analysis easier by allowing everyone in your team to have access to more useful information. It is possible to create comprehensive apps that include automated insights and integrate analytics into existing tools.

Domo offers a flexible data fabric environment that allows for easy integrations and a great set of self-service analytics options. Additionally, you can leverage data from many different apps and environments.

ThoughtSpot

ThoughtSpot uses an AI-driven approach to analytics to make data access more intelligent. Live, real-time insights can be accessed into your data stack and used to empower customers, colleagues, and partners. ThoughtSpot can be used as an app or integrated into tools such as Slack and Salesforce.

ThoughtSpot’s greatest appeal for businesses is its simplicity. It makes it easy for anyone to use AI or search functionality to uncover hidden insights within complex data ecosystems. The platform is also available for developers who want to create their own interactive data apps.

Looker

Looker offers a simple way to gain valuable insights into your target audience so that you can deliver better customer experiences. Modern Business Intelligence and analytics dashboards will make it easy to provide the data your business teams require to make crucial business decisions.

Integrated with the Google Cloud Platform, Looker allows you to create your own data-driven workflows to accelerate business growth. The multi-cloud environment of Looker can be connected to a variety of databases environments so you don’t have to limit what you can find.

Splunk

Splunk is still one of the most widely used platforms for big data collection, management, and analysis. Splunk was designed for the “age” of data and is available in several deployment versions to enable companies to gain insights from large volumes of data often collected from distributed environments.

Splunk is a popular tool for businesses of all sizes. It makes it easy to gather and analyze big data from your security systems, business apps, technology infrastructure, and other sources. For those who are just starting out with Splunk, there is a free cloud-based or download option.

RapidMiner

RapidMiner is a comprehensive data science platform. It offers state-of-the-art data analysis and intelligence with RapidMiner Studio. Pre-built, the system includes a visual workflow creator to speed up and automate creating analytical models. This system also allows you to access functions and algorithms that can be used to create your own predictive analytics sets.

RapidMiner is one of the most flexible tools in the data landscape. It can connect to any data source no matter its location. RapidMiner also allows you to connect easily with new sources by collecting extensions. You can re-use connections at any stage.