Current work presents new approach for designing business intelligence solutions. In the era of big data, former and robust analytical concepts and utilities needs to adopt themselves to changed market circumstances. Main focus of the work is to address acceleration of building process of a "data-centric" business intelligence solution on one side, and also prepare business intelligence solutions for big data utilization. Research is addressing following goals: (a) reduce time spent during business intelligence solution designing phase; (b) achieve flexibility of business intelligence solution by removing problems with adding new data sources; (c) prepare business intelligence solution for utilization of big data concepts. Research proposes extension of existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyse (ELTA).

The current work presents a new approach for designing business intelligence solutions. In the Era of Big Data, former and robust analytical concepts and utilities need to adapt themselves to the changed market circumstances. The main focus of this work is to address the acceleration of building process of a “data-centric” Business Intelligence (BI) solution besides preparing BI solutions for Big Data utilization. This research addresses the following goals: reducing the time spent during business intelligence solution’s design phase; achieving flexibility of BI solution by adding new data sources; and preparing BI solution for utilizing Big Data concepts. This research proposes an extension of the existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyze (ELTA) supported by service-orientation concept. Additionally, the proposed model incorporates Service-Oriented Architecture concept as a mediator for the transformation phase. On one side, such incorporation brings flexibility to the BI solution and on the other side; it reduces the complexity of the whole system by moving some responsibilities to external authorities.