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