Business intelligence (BI) is a company's process and technology for collecting, storing, and analyzing data. BI technologies analyze massive amounts of unstructured data, including books, journals, documents, health records, photographs, files, email, video, and other business sources.

Although business will always contain some risk, BI reporting tools help mitigate that risk. BI helps minimize the need for guesswork by providing real-time, hyper-accurate reports and supporting organizations in better understanding the information being detailed.

The following are some of the interesting BI tools suitable for 2023.

Datapine

Datapine is a BI programme that allows you to integrate and analyze data from several sources using advanced capabilities (including predictive analytics and artificial intelligence). You may develop a comprehensive business dashboard (or multiple), generate standard or customized reports, and implement intelligent alerts to be notified of anomalies and targets once you have all your data. This application rated 4.8 stars on Capterra and 4.6 stars on G2Crowd, is a powerful option for businesses of all sizes, as datapine can be used across numerous industries, services, and platforms.

Both advanced users, such as data analysts, and standard business users can utilize the software's functionality. For example, the SQL mode allows analysts to build their queries. At the same time, the simple drag-and-drop interface offers a visually intuitive method of entering numbers and creating effective charts and dashboards through visual analytics.

Domo

The Domo Business Cloud prioritizes self-service analytics by providing a user-friendly environment where your entire team will be comfortable digging in. In addition, Domo delivers the robust analytical processing you require and demand.

With precise insights, safe data sharing, and the option to pick and choose the data apps you require, Domo will enable your business to do more with data. With over a thousand ready-to-use connectors, the platform is built for various jobs and sectors and allows you to get up and running quickly.

Infor Birst

Infor Birst is a cloud-based analytics and BI tool that facilitates the comprehension and optimization of intricate analysis processes. In 2017, Infor, a multinational corporation with a broad range of software products for particular industries, purchased Birst. Today, Infor Birst is a sophisticated end-to-end solution that includes a data warehouse, a visualization and reporting platform, and a networked BI approach based on considerable automation and learning technologies. Customers of the BI provider gave the programme a good 4.1 rating on Capterra and 3.9 on G2Crowd.

Qlik

Since 1994, Qlik, one of the earliest BI tools on this list, has helped businesses view and analyze data. A wide variety of data source integrations, drag-and-drop visualizations, self-service, data storytelling, intelligent search, and progressive development are included as features. Qlik, suitable for enterprises of all sizes, will continue to be one of the leading business intelligence solutions in 2023.

Pentaho

Hitachi Vantara's Pentaho is an end-to-end data integration and analytics platform that delivers various business intelligence features, including OLAP services, reporting, dashboarding, data mining and integration, ETL, and more. With these features, some of which are given as open-source plugins, the programme intends to assist enterprises in managing large amounts of data to influence strategic decisions and commercial outcomes favourably. The 4.3-star rating on Capterra and a 4.1-star rating on G2Crowd earned Pentaho a position in the BI tools ranking.

Yellowfin BI

Yellowfin improves your organization's analytics procedures with interactive reports and executive dashboards. With features such as data tales, intelligent tasks, and location intelligence, this BI application helps you better comprehend data sets. Yellowfin excels at automated monitoring and data discovery and is simple to use and integrate with your tech stack. It is a valuable asset to any organization driven by data.