5. Conclusion and Future Work

In the upcoming era of big data, "data-centric" business services, and processes of discovering new business strategies based on historical behavior (mainly data), to achieve competitive edge over other competitors, will play a huge role. And major factors in succeeding in such completions is to prepare business IT solutions for the new "rolechanging" requirements of the market. However, successfulness cannot be achieved only by fully applying new, modern, and trending approaches and by neglecting robust and well-proved former techniques like BI. In such situation, it's more appropriate to modify or to prepare existing solutions for the market needs and benefit from the both: (1) robustness of well-proved existing techniques like BI and (2) promising advantages of new approaches like big data. Our work that presents ELTA (Extract, Load, Transform and Analyse) is one of such new approaches that address combination of business intelligence with big data by taking best parts from both, and in parallel, removing disadvantages of business intelligence.

In future works architecture proposed model depicted on Fig. 1. will be enhance with focus on the following parts:

Big Data Storage, Virtual Data Marts Layer, and Analysis Layer. Future work will also include evaluation of Extract, Load, Transform and Analyse through carefully implementation of complex business scenarios and discussions of obtained results.