5 Most Popular BI Tools in 2023
March 17, 2023 - Aptaworks
To a Business Intelligence Analyst, BI tools are the peanut sauce to your chicken satay – absolutely necessary. These tools can help you centralize your data, perform data mining, create instant reports, as well as ease access for non-tech teammates. At the end of the day, the software increases the efficiency of your business processes and allows you to cut down costs.
Given the huge number of business intelligence tools available in the market, you might not know which ones are the most suitable for your business needs. Fret not, below we have compiled 5 of the most popular BI tools this year along with each tool’s notable advantages to help you decide!
Most Popular BI Tools in 2023
Microsoft Power BI
Power BI is a downloadable tool – offering its users the option of running analytics on local or cloud servers. This tool provides data preparation, visual-based discovery, interactive dashboards, and augmented analytics.
Tableau is an analytics platform that puts emphasis on its data visualization features. Known for its user-friendly interface, Tableau supports multiple data sources including Microsoft Excel, Box, Google Analytics, and PDF files.
Pyramid Analytics is a BI tool which provides an enterprise-grade operating system that can seamlessly scale from individual user analytics to enterprise-wide deployment. In addition, it has the capability to integrate with other BI platforms like Power BI, Tableau, and QlikSense – offering a more complete end-to-end solution for businesses.
Being relatively new compared to other tools on this list, Holistics offers code-based data modeling layer that helps centralize business logic and define data models. Holistics also appeals with its user-friendly interface and seamless dbt integration.
SAP Analytics Cloud (SAC)
Aside from its obvious advantage of seamless integration with other SAP solutions such as SAP S/4HANA and SAP Business Warehouse, SAP Analytics Cloud supports advanced analytics techniques and allows dimensions to be merged within a report – providing users with deeper insights into their data.