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EN
Projects performed by companies involve a high degree of risks and uncertainty. The essence of the project is a small recurrence and a very high degree of complexity, which makes it impossible to accurately predict all the events and tasks leading up to their final implementation. Continuous improvement actions resulting from drawing conclusions from previously conducted projects is a key condition for the success of the project. It becomes necessary to use IT tools that allow the acquisition, collection and transfer of information and are a foundation for analysis and making right decisions. By using the right tools a company can achieve its objectives in the most effective manner. The paper describes the characteristics of BI tools in application to project activities, as well as the practice of their usage in enterprises.
EN
The success of projects in enterprises and the success of an entire organization’s business largely depend on the possession and efficient use of the relevant information. In a broader context, success depends on having the adequate knowledge at the right time and place. Business processes generate large amount of data that are collected and processed in a way enabling transforming data into a measurable and useful value, which is information. Its efficient usage streamlines business processes, and allows to respond quickly to changes and proper decision-making. The aim of the paper is to present and define the project management challenges and ideas of Business Intelligence and Big Data systems. The types of analysis available in both platforms are also discussed. In the paper, the authors try to identify the areas of project management that can benefit from Business Intelligence and Big Data analysis.
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