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xvi                                                         Contents

                    11.3.1 Stage 0: Plan and Justify ................... 283
                    11.3.2 Stage 1: Extract ....................... 285
                    11.3.3 Stage 2: Create Control-Flow Model
                          and Connect Event Log ................... 285
                    11.3.4 Stage 3: Create Integrated Process Model . ......... 286
                    11.3.5 Stage 4: Operational Support ................ 286
                11.4Applications ............................. 286
                    11.4.1 Process Mining Opportunities per Functional Area ..... 287
                    11.4.2 Process Mining Opportunities per Sector . ......... 288
                    11.4.3 Two Lasagna Processes ................... 292
            12 Analyzing “Spaghetti Processes” .................... 301
                12.1 Characterization of “Spaghetti Processes” .............. 301
                12.2 Approach . . ............................. 305
                12.3Applications ............................. 309
                    12.3.1 Process Mining Opportunities for Spaghetti Processes . . . 309
                    12.3.2 Examples of Spaghetti Processes .............. 310

            Part V  Reflection

            13 Cartography and Navigation ...................... 321
                13.1 Business Process Maps ....................... 321
                    13.1.1 Map Quality ......................... 322
                    13.1.2 Aggregation and Abstraction ................ 322
                    13.1.3 Seamless Zoom ....................... 324
                    13.1.4 Size, Color, and Layout ................... 328
                    13.1.5 Customization ........................ 330
                13.2 Process Mining: TomTom for Business Processes? ......... 331
                    13.2.1 Projecting Dynamic Information
                          on Business Process Maps .................. 331
                    13.2.2 Arrival Time Prediction ................... 333
                    13.2.3 Guidance Rather than Control ................ 334
            14 Epilogue .................................. 337
                14.1 Process Mining: A Bridge Between Data Mining
                    and Business Process Management ................. 337
                14.2 Challenges . ............................. 339
                14.3 Start Today! ............................. 340
            References ................................... 341

            Index ...................................... 349
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