Data visualization is essential for any enterprise operating in today's information economy. Creating visual representations of data facilitates its study, analysis, and use in decision-making contexts. In addition, insights that are both actionable and new to your team might be uncovered through data visualization.

There are some exciting data visualization tools for 2023. These tools should serve your company well by being adaptable, user-friendly, and equipped to handle a wide range of data visualization requirements.

Tableau

Tableau is a data visualization application that data analysts, scientists, statisticians, and others can use to represent data and form explicit opinions based on data analysis. Tableau is well-known for its ability to take in data and provide the desired data visualization output in a relatively short period. And it can do so while maintaining the highest level of security and guaranteeing that security vulnerabilities are addressed as soon as they happen or are discovered by users.

Tableau also allows users to prepare, clean, and format their data before creating visualizations we can share with other users. Tableau is available for individual data analysts, corporate teams, and companies on a larger scale. 

Looker

Looker is a data analysis and visualization application that lets users go deep into their data and extract meaningful insights. It gives enterprises rapid access to data visualizations in the form of real-time dashboards for more profound research. With Looker, you can easily connect to numerous databases, as it supports more than fifty different SQL dialects and integrates with popular databases like Redshift, Snowflake, and BigQuery.

The data visualizations created with Looker can be shared with anyone, regardless of their software. This data is immediately exportable to whatever format you may need. In addition, it has a customer service department ready to respond to any inquiries. Simply filling out a form will get you a price estimate.

Sisense

Data analysts may simplify complex data using Sisense, a business intelligence-based data visualization technology, and gain insights for both their organization and external audiences. According to Sisense, every business will eventually be data-driven, and every product will involve data in some form. 

Sisense is very simple to set up and understand. It can be quickly installed, allowing data analysts to complete their tasks and see results immediately. In addition, users of Sisense can export their files in various formats, including PPT, Excel, MS Word, PDF, etc. 

Qlik Sense

Qlik Sense allows you to easily aggregate, import, view, and study data of any scale. The data charts, tables, and other visualizations are interactive and automatically change based on the current data context. Qlik Sense AI can even deliver data insights and assist you in creating analytics with just a few clicks. You can use Qlik Sense Business for free for 30 days before upgrading to a premium version.

Microsoft Power BI

Data-driven business intelligence is the goal of Microsoft's Power BI, a data visualization platform. To achieve this goal, it provides access to self-service analytics tools for doing relevant data analysis, aggregation, and dissemination.

Microsoft Power BI provides users access to a wide variety of data visualization options, AI tools, and Excel add-ins. In addition, you can get help in various ways, including a comprehensive FAQ section, user discussion boards, and even real-time chit-chat with the company's representatives.

IBM Cognos Analytics

IBM Cognos Analytics is a data analytics platform powered by AI. Visualize, analyze, and share actionable data with your organization. IBM Cognos Analytics evaluates data and provides actionable insights in plain language, making it easy to use for beginners.

You can also share data in the cloud and visualizations via email or Slack. Import data from spreadsheets, clouds, CSV files, or on-premises databases and similar aggregate data into a data module.