TESIS DOCTORAL ESCUELA POLITÉCNICA SUPERIOR DOCTORADO EN CIENCIA Y TECNOLOGÍA INFORMÁTICA A CLOUD-BASED INFRASTRUCTURE AND IMPLEMENTATION METHODOLOGY TO SUPPORT ADVANCED BUSINESS PROCESS INTELLIGENCE Autor: Alejandro Vera-Baquero Directores: Dr. Ricardo Colomo-Palacios Faculty of Computer Sciences Østfold University College Dr. José María Álvarez-Rodríguez Departamento de Informática Universidad Carlos III de Madrid Octubre 2015 TESIS DOCTORAL A CLOUD-BASED INFRASTRUCTURE AND IMPLEMENTATION METHODOLOGY TO SUPPORT ADVANCED BUSINESS PROCESS INTELLIGENCE Autor: Alejandro Vera-Baquero Directores: Dr. Ricardo Colomo-Palacios Dr. José María Álvarez-Rodríguez Firma del Tribunal Calificador: Nombre Firma Presidente Vocal Vocal Vocal Secretario Calificación En Leganés, a ________ de _____________________ de 2015. To Yurena and Emma, who are my inspiration in everything I do LIST OF FIGURES ...................................................................................................................................... I LIST OF TABLES ...................................................................................................................................... II ABSTRACT ............................................................................................................................................. III ACKNOWLEDGMENTS .......................................................................................................................... IV PART I - INTRODUCTION AND OBJECTIVES ............................................................................................. 1 CHAPTER 1. INTRODUCTION ............................................................................................................ 3 1.1 INTRODUCTION ................................................................................................................................ 3 1.2 SIGNIFICANCE OF THE STUDY .............................................................................................................. 4 1.3 RESEARCH OBJECTIVES ...................................................................................................................... 7 1.3.1 Research Question .................................................................................................................. 8 1.3.2 Hypothesis .............................................................................................................................. 8 1.4 SOLUTION APPROACH ....................................................................................................................... 8 1.5 RESEARCH METHODOLOGY ................................................................................................................ 9 1.5.1 Information Research Framework ........................................................................................ 10 1.6 STRUCTURE OF THE THESIS ............................................................................................................... 12 PART II - BACKGROUND ....................................................................................................................... 15 CHAPTER 2. BUSINESS PROCESS MANAGEMENT ............................................................................ 17 2.1 BUSINESS PROCESS MANAGEMENT ................................................................................................... 17 2.2 BUSINESS PERFORMANCE MANAGEMENT ........................................................................................... 18 2.3 BUSINESS ACTIVITY MONITORING ..................................................................................................... 20 2.4 BUSINESS PROCESS INTELLIGENCE ..................................................................................................... 21 CHAPTER 3. BUSINESS PROCESS IMPROVEMENT ........................................................................... 23 3.1 INTRODUCTION .............................................................................................................................. 23 3.2 BPI METHODOLOGIES AND STANDARDS ............................................................................................. 24 3.2.1 Total Quality Management (TQM) ....................................................................................... 25 3.2.2 Six Sigma ............................................................................................................................... 26 3.3 BPI LIFECYCLE MODELS ................................................................................................................... 27 3.3.1 The Business Process Lifecycle .............................................................................................. 27 3.3.2 PDCA ..................................................................................................................................... 28 3.3.3 DMAIC ................................................................................................................................... 28 CHAPTER 4. BUSINESS INTELLIGENCE ............................................................................................. 31 4.1 BUSINESS INTELLIGENCE .................................................................................................................. 31 4.1.1 Real-time Business Intelligence ............................................................................................ 32 4.1.2 Collaborative Business Intelligence ....................................................................................... 34 4.1.3 Extract, Transform & Load (ETL) Process .............................................................................. 34 4.2 DECISION SUPPORT SYSTEMS ........................................................................................................... 35 4.3 PROCESS MINING .......................................................................................................................... 36 4.3.1 ProM ..................................................................................................................................... 40 4.3.2 XeSame ................................................................................................................................. 40 4.3.3 Disco ..................................................................................................................................... 40 4.4 BUSINESS PROCESS ANALYTICS ......................................................................................................... 41 4.4.1 Business Process Execution Query Language ........................................................................ 42 4.4.1.1 Semantic Web ............................................................................................................................ 42 4.4.1.2 Semantic Event Processing ......................................................................................................... 42 4.4.1.3 Ontologies .................................................................................................................................. 43 4.4.1.4 SPARQL ....................................................................................................................................... 44 4.4.1.5 FPSPARQL ................................................................................................................................... 44 4.4.1.6 EP-SPARQL .................................................................................................................................. 44 4.5 BUSINESS PROCESS SIMULATION ....................................................................................................... 44 CHAPTER 5. TECHNOLOGIES FOR PERFORMANCE MANAGEMENT ................................................. 47 5.1 EVENT-DRIVEN ARCHITECTURE ......................................................................................................... 47 5.1.1 EDA-BAM .............................................................................................................................. 47 5.1.2 Event-Based Systems ............................................................................................................ 48 5.1.3 Event Stream Processing ....................................................................................................... 48 5.1.4 Business Events ..................................................................................................................... 49 5.1.5 Event Model .......................................................................................................................... 50 5.1.5.1 Business Process Analytics Format (BPAF) ................................................................................. 52 5.1.5.2 Mining Extensible Markup Language (MXML)............................................................................ 53 5.1.5.3 Extensible Event Stream (XES) .................................................................................................... 54 5.1.5.4 Common Base Event (CBE) ......................................................................................................... 55 5.1.6 Event Correlation .................................................................................................................. 55 5.1.7 Event Cloud ........................................................................................................................... 56 5.2 CLOUD COMPUTING ......................................................................................................................