In recent decades, the strategic importance of big data in
decision-making has been growing exponentially, with
emerging disciplines [1], professions [2] and techniques to
assist humans in data management and interpretation of these
large volumes of data. Decisions based on large amount of
data are made in our day-to-day life in several areas, but
especially in business (BPM -Business Process Management-)
[3, 4], and data processing activities (qualitative research,
statistical reasoning, etc.). In both areas, applications to assist
users in data-analysis tasks and to facilitate the decisionmaking
process are a key necessity.
In recent decades, the strategic importance of big data indecision-making has been growing exponentially, withemerging disciplines [1], professions [2] and techniques toassist humans in data management and interpretation of theselarge volumes of data. Decisions based on large amount ofdata are made in our day-to-day life in several areas, butespecially in business (BPM -Business Process Management-)[3, 4], and data processing activities (qualitative research,statistical reasoning, etc.). In both areas, applications to assistusers in data-analysis tasks and to facilitate the decisionmakingprocess are a key necessity.
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