Business Process Analytics Using a Big Data Approach Articles uri icon

authors

  • VERA BAQUERO, ALEJANDRO
  • COLOMO PALACIOS, RICARDO
  • MOLLOY, OWEN

publication date

  • December 2013

start page

  • 29

end page

  • 35

issue

  • 6

volume

  • 15

International Standard Serial Number (ISSN)

  • 1520-9202

Electronic International Standard Serial Number (EISSN)

  • 1941-045X

abstract

  • Business process executions on large and complex supply chains produce high volumes of unstructured event data, so timely data analysis is difficult. An architecture for integrating big data analytics into business performance management helps users analyze and improve business processes performance.