Best Open Source Business Intelligence Software
This section covers business intelligence software. Whatever the size of an organization, business intelligence tools make sense of complex big data. These solutions collect, analyze and convert such data into comprehensible reports that offer businesses with valuable insights, which in turn boosts corporate profits.
Our three recommended solutions are each written in the Java programming language, and therefore run on a huge range of operating systems, including Linux, Windows and OS X.
|BIRT is an awesome technology platform used to create data visualizations and reports that can be embedded into rich client and web applications. BIRT has two main components: a visual report designer within the Eclipse IDE for creating BIRT Reports, and a runtime component for generating reports that can be deployed to any Java environment.
License: Eclipse Public License
|JasperReports Library is billed as the most popular open source reporting engine. It scales architecturally and economically. The library is the engine at the core of the iReport Designer, Jaspersoft Studio, and JasperReports Server.
License: GNU LGPL
|Pentaho is a marvellous unified data integration and analytics platform. It offers a smart architecture, extensible, and flexible. Pentaho offers an enterprise and community edition of the software.
License: Pentaho Community Edition (CE): Apache license version 2.0
About Business Intelligence software
Business intelligence tools are typically used to design and generate reports from a wide range of data sources. There are a number of different types of business intelligence software. These include reporting and querying software, digital dashboards, process and data mining, business performance management, and spreadsheets.
All organisations deploy reporting software in one way or another. Reporting is regarded as a central part of business intelligence.
A business intelligence platform includes three layers: a database layer, a business intelligence layer, and an analytics/performance management layer. Business analytics makes extensive use of statistical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making.
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