Abstract
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
tonon-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.