Towards a process to guide Big Data based Decision Support Systems for Business Processes

摘要

Process performance improvement initiatives generally require the application of both knowledge management techniques and analysis tools to assist business users in decision making. Decision support systems (DSS) are a valuable asset to measure process performance; however, they require a vast amount of process performance data in order to support a valuable analysis with highest precision and accuracy. Moreover, this analysis needs to be attained in a timely manner in order to respond quickly to non-compliant situations. Existing process performance improvement initiatives lack of the appropriate methods and tools to give full support to business users. Contrarily to this, they are focused on a purely methodology perspective. We introduce a Business Process Improvement methodology for overcoming this limitation by integrating process improvement with big data based DSSs.