Business process improvement by means of Big Data based Decision Support Systems: a case study on Call Centers

Big Data is a rapidly evolving and maturing field which places significant data storage processing power at our disposal. To take advantage of this power, we need to create new means collecting large volumes high speed. Meanwhile, as companies organizations, such health services, realize the importance value "joined-up thinking" across supply chains healthcare pathways, for example, creates demand type approach Business Activity Monitoring Management. This requires solutions cope with volume speed transactions global chains. In paper describe methodology framework leverage Analytics deliver Decision Support support Process Improvement, using near real-time process analytics in decision-support environment. The system supports capture analysis hierarchical data, allowing place different organizational levels. Individual business units can perform their own monitoring. An event-correlation mechanism built into system, monitoring individual instances or paths.