With the help of Business Intelligence applications, data integrated from different systems can be modified and combined in different ways, filtered, segmented, visualized and analyzed in a versatile way, as well as shared in a controlled manner. The most popular BI tools are presented below.
Choose freely which BI application best suits your company's reporting and analytics needs. QuickBI makes it possible to use any BI tool, regardless of the source system the data comes from.
Looker Studio (Data Studio) is an easy-to-use tool for visualizing and analyzing data. It is part of the Google Marketing Platform and can be used via a web browser.
Power BI is a business intelligence application offered by Microsoft as a cloud service. It is a powerful tool for collecting, analyzing and reporting business data.
Qlik Sense, from one of the world's largest BI software companies, is an efficient and flexible tool for collecting, processing, analyzing and sharing business data.
Tableau, one of the fastest growing BI systems in the world, offers solutions of different sizes and budgets for a wide range of companies, from start-ups to large corporations.
BI tools - what to consider when choosing?
BI tools help convert the mass of data into comprehensible information and form an overall picture of the combined information. Their task is to help see what happened, why, and how it would be best to act based on this information in the future. How comprehensively and smoothly this is achieved depends on many factors.
The basis of everything is the integration of data sources into the BI system. The more comprehensively the data from the company's important systems can be brought into the scope of analytics, the more insight and understanding it provides of the state of the business and the right measures. QuickBI combines BI tools and source systems, so you can easily choose the BI application that best serves your needs.
Of the BI candidates under consideration, it is worth finding out which operating systems and server platforms they support, at least if you want to use the existing IT infrastructure. In general, it is necessary that dashboards can be used on different devices and browsers, including mobile. Versatile functionalities in combining, filtering, segmenting and modeling data are an essential selection criterion.
Automation saves time and effort and reduces human errors. Data updating can be scheduled in most BI applications, as can the automatic export and sharing of reports by e-mail, for example. An alarm about a critically changed KPI could save the company a pretty penny.
The most popular BI tools have paid special attention to data security (identification and user rights, logs, data encryption, security policies, etc.) and it should be an important criterion when choosing a BI system. In addition, the choice is naturally influenced by the price and the available support services.