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The article contains the concept and analysis of basic types of Business Intelligence (BI) systems and analysis of critical success factors of BI implementation. The complexity and diversity of BI systems means that the success of their implementation requires a methodical foundation and proven scientific theories. Article focuses on analysis of factors determining the effectiveness of implementation and use of Business Intelligence (BI) tools in organizations, depending on the implementation method applied. Currently, organizations that decide to implement BI focus their attention on the method of system implementation. BI systems have become an indispensable element of the Industry 4.0 breakthrough. Industry 4.0 is related to the integration of the existing independent digital management systems and the creation of intelligent management support systems.

The global Business Intelligence (BI) market grew by 7.3% in 2016 according to the Gartner report (2017). Today, organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics - Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However, traditional methods are not efficient for changing business needs. Long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements at the end of the project. This article presents the latest market trends in BI systems implementation by comparing agile with traditional methods. It presents a case study provided in a large telecommunications company (350 BI users) and the results of a pilot research provided in the three large companies: media, digital, and insurance. Both studies prove that agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach.

The global Business Intelligence (BI) market grew by 10% in 2013 according to the Gartner Report. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics--Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However traditional methods are not efficient for changing business needs. The long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements in the end of the project. This article presents the latest market trends in BI systems implementation by comparing Agile with traditional methods. It presents a case study provided in a large telecommunications company (20K employees) and the results of a pilot research provided in the three large companies: telecommunications, digital, and insurance. Both studies prove that Agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach. Keywords: Agile methods, Business Intelligence, efficiency, end-users needs, advanced analytics, sprint, and iteration. Introduction BI complexity and changing requirements represent the most difficult challenges facing applications. During the process of BI implementation multiple components must be considered from the very start such as data integration, cleansing, modelling, warehousing, metrics creation and management, reports, dashboards, queries, alerts, and many more (Cerqueira, 2015). This requires a clear vision of future needs and a very well defined strategy from project sponsors and end-users. Projects take a long time to implement and their effects can be visible sometimes only after a few years (Kernochan, 2011). Today organizations require BI solutions more than they needed them in previous years and decades. Due to rapid market changes, organizations need to adapt to the new environment properly if they do not want to stay behind their competitors. This situation impacts users' requirements for data and reports. Thus BI projects final products are often found useless due to organizational needs that have changed during the time of project design and implementation (Eckerson, 2007a, 2007b; Marjanovic, 2011). Business cannot longer afford empty investments and needs to have quick benefits and an acceptable payback on the selected BI technology (Oxford Economics, 2015). Traditional methods of BI implementation are no longer efficient. An overly lengthy timeline, the inability to request timely changes that usually occur only at the end of the project, and overly complex approaches do not allow meeting customer targets (Vijaya, 2013). Agile methods brought a new view to a project delivery. It proves that success can be achieved more quickly by delivery of actual product in iteration. In this article effectiveness is measured from the added value brought by BI in a short time (less than 6 months), namely return on investment achieved after the first BI benefits appear and by meeting end-users' requirements. This article presents some initial research in order to answer the question, "Is Agile more efficient in BI implementation compared to traditional methods?" Agile vs. Traditional Implementation Approach For a better understanding of Agile methods for Business Intelligence (BI) system implementation projects, it is worth to compare Agile with the traditional / waterfall approach first. Agile methods of implementation require a change of thinking and a different approach compared to traditional waterfall methods. Traditional methods concentrate on project scope using them to determine cost and time schedule. …

The global Business Intelligence (BI) market grew by 10% in 2013 according to the Gartner Report. BI has been the top implementation priority for organizations for many years now. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term - Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However traditional methods are not efficient for changing business needs. Long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements in the end of the project. This article presents the latest market trends in BI systems implementation by comparing Agile with traditional methods. It presents a case study provided in a large telecommunications company (20K employees) and the results of a pilot research provided in the three large companies telecommunications, digital and insurance. Both studies prove that Agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach. Organizations often do not have a clear vision of BI requirements. Thus users ask for changes just before a BI product readiness, which Agile ensures in contradiction to traditional methods.

In this article we would like to present the significance and problems related to the realization of projects for creating a national dissemination system. It is recommended to use BI systems including the management dashboard to manage the project of building and using the system. Created in Poland, SYNAT system aims at disseminating scientific and technical information to vast audience both in Poland and abroad. The article is also concerned with issues connected with using the Open Access concept. We believe that accepting this concept is a necessary condition in building such system. The article analyses BI solutions which seem to be the most suitable for use in such projects. Using the evaluations of experts a comparative analysis of solutions in commercial use was also carried out. The results of the analysis show that it is difficult to provide a clear answer regarding the usefulness of the analyzed tools. Nevertheless, four systems were chosen: SAP Business Objects Enterprise XI, Microsoft BI tools (integrated BI offering), Oracle Enterprise BI Server, QlikView, which should undergo more detailed analysis depending on the conditions of a given project. Both authors of the article participate in the SYNAT project. Jerzy Kisielnicki has been responsible for the recommendation of the project management tool and Anna Maria Misiak has carried out the tool research and evaluation highlighting the most adequate solutions for project usage.