ALLDATA 2017 : The Third International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2017) A Vision on Prescriptive Analytics Maya Sappelli Maaike H.T. de Boer TNO TNO and Radboud University Data Science, The Hague, The Netherlands Data Science, The Hague and Nijmegen, The Netherlands Email:
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[email protected] Selmar K. Smit Freek Bomhof TNO TNO Modelling, Simulation& Gaming, The Hague, The Netherlands Data Science, The Hague, The Netherlands Email:
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[email protected] Abstract—In this paper, we show our vision on prescriptive in Section III. In Section IV we use several application analytics. Prescriptive analytics is a field of study in which the domains, such as oil and gas, law enforcement, healthcare and actions are determined that are required in order to achieve logistics, to explain in which situations prescriptive analytics a particular goal. This is different from predictive analytics, might be fruitful and in which it will not. This paper ends with where we only determine what will happen if we continue a direction of future prescriptive analytics research. current trend. Consequently, the amount of data that needs to be taken into account is much larger, making it a relevant big II. DESCRIPTIVE,PREDICTIVE AND PRESCRIPTIVE data problem. We zoom in on the requirements of prescriptive analytics problems: impact, complexity, objective, constraints and ANALYTICS data. We explain some of the challenges, such as the availability The number of organizations that base their results on data of the data, the downside of simulations, the creation of bias analysis is growing.