Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data
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| 245 | 1 | 0 | |a Integrated business information systems |b a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data |c Klaus-Dieter Gronwald |
| 264 | 1 | |a Berlin |b Springer |c [2017] | |
| 300 | |a 1 Online-Ressource (XXIII, 200 Seiten, 115 illus) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
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| 650 | 4 | |a Computer science | |
| 650 | 4 | |a Business logistics | |
| 650 | 4 | |a Management information systems | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Computer Science | |
| 650 | 4 | |a Information Systems Applications (incl. Internet) | |
| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Supply Chain Management | |
| 650 | 4 | |a Business Information Systems | |
| 650 | 4 | |a Informatik | |
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Datensatz im Suchindex
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|---|---|
| DE-BY-UBG_katkey | 196299378 |
| DE-BY-UBG_local_url | https://doi.org/10.1007/978-3-662-53291-1 Verlag |
| _version_ | 1811360826549862400 |
| adam_text | Titel: Integrated business information systems
Autor: Gronwald, Klaus-Dieter
Jahr: 2017
Contents
1 Introduction................................................................ 1
Reference................................................................................................. 2
Part I Role Based Business Simulation
2 Preparation and Initiation.................................................................... 5
2.1 InitialSituation............................................ 5
2.2 Registration and Roles............................................................... 6
2.2.1 Registration at kdibis.com.......................................... 6
2.2.2 Roles........................................................................... 6
2.3 Preparation................................................................................. 6
2.4 Game Structure and Organization.............................................. 7
2.5 Step 1: Supervisor Registration.................................................. 8
2.6 Step 2: Creating Classes............................................................. 8
2.7 Step 3: Creating Games............................................................. 9
2.8 Step 4: Register Students........................................................... 9
2.9 Student Login............................................................................. 9
2.10 Kdibis Webinar System.............................................................. 10
3 Development and Implementation of an ERP Strategy................. 11
3.1 Situation Analysis...................................................................... 11
3.2 ERP Strategy.............................................................................. 12
3.3 M A IT Integration................................................................... 12
3.4 Product Portfolio Analysis, Cleansing and Business Process
Standardization........................................................................... 14
3.4.1 Order-to-Deliver ProcessRetail
Chain1--Distributor................................................... 14
3.4.2 Order-to-Deliver ProcessRetail
Chain2--Distributor................................................... 14
3.4.3 Order to Deliver Process Retail
Chain3--Distributor................................................... 14
3.4.4 Order to Deliver Process Retail
Chain4--Distributor................................................... 16
3.4.5 Order-to-Deliver Process Distributor--
Wholesaler--Factory.................................................. 16
3.4.6 Order-to-Deliver Process Factory--
Production................................................................... 16
3.5 Task--Board Review Meeting 1................................................ 16
3.5.1 Agenda........................................................................ 17
References............................................................................................... 17
4 Game Round1: Supply Chain Not Optimized--The Beer Game. . . 19
4.1 Initial Situation............................................................................ 19
4.2 SCM Game 1: Preparation......................................................... 19
4.3 SCM Game 1: Execution............................................................ 20
4.3.1 Fiscal Year, Order Cycle, Delivery Delay................. 21
4.3.2 Game Rules................................................................ 22
4.3.3 Results Game Round 1............................................... 27
4.3.4 The Role of the CEOs................................................ 27
5 Developmentand Implementation of a SCM Strategy....................... 31
5.1 Supply Chain Management Definition........................................ 31
5.2 The Bullwhip Effect................................................................... 31
5.3 Demand Forecasting................................................................... 33
5.3.1 Qualitative Forecasting Methods................................ 33
5.3.2 Quantitative Forecasting Methods.............................. 33
5.4 Inventory Management............................................................... 34
5.4.1 Inventory Management Models.................................. 34
5.4.2 Economic Order Quantity Models(EOQ)................... 35
5.4.3 The Basic EOQ Model............................................... 35
5.4.4 Non-instantaneous Receipt Model............................. 36
5.4.5 Shortages Model......................................................... 36
5.4.6 Final Remarks............................................................. 37
5.5 Task--Board Review Meeting 2 ................................................ 38
5.5.1 Agenda......................................................................... 38
References............................................................................................... 39
6 Game Round2: Supply Chain Optimized........................................... 41
6.1 Game Rules................................................................................ 41
6.2 Results........................................................................................ 42
6.3 Task--Board Review Meeting 3 ................................................ 44
7 Development and Implementation of a CRM Strategy...................... 45
7.1 Initial Position............................................................................ 45
7.2 CRM: Objectives and Methods.................................................. 46
7.2.1 Strategie CRM............................................................ 46
7.2.2 Analytical CRM......................................................... 46
7.2.3 Operative CRM.......................................................... 47
7.2.4 Communicative CRM................................................ 47
7.3 Task: Board Review Meeting 4 ................................................. 47
References............................................................................................... 47
8 Game Round 3: CRM-SCM-Integration............................................ 49
8.1 Initial Situation........................................................................... 49
8.2 CRM: Promotion for One or More Products............................. 49
8.3 CRM: Price Change for One or More Products......................... 50
8.4 CRM: Discount for One or More Products................................ 50
8.5 CRM: Change of Product Portfolios.......................................... 50
8.6 CRM: Share of Wallet at Key Accounts................................... 50
9 Business Intelligence (BI) and Big Data Analytics (Big Data).......... 53
9.1 Initial Situation........................................................................... 53
9.2 BI and Big Data Separation....................................................... 53
9.3 Analytics Evolution.................................................................... 54
9.3.1 Descriptive Analytics................................................. 54
9.3.2 Predictive Analytics................................................... 54
9.3.3 Prescriptive Analytics................................................ 55
9.3.4 Sentiment Analysis..................................................... 55
9.3.5 Text Mining................................................................ 55
9.4 Task: Board Review Meeting 5 ................................................. 56
9.5 Game Round 4: CRM-Big Data Integration............................. 56
References............................................................................................... 56
Part II Theory and Background
10 ERP: Enterprise Resource Planning. ................................................. 59
10.1 Definition and Goals.................................................................. 59
10.2 Strategic Objectives................................................................... 59
10.2.1 Standardization of Business Processes....................... 60
10.2.2 Localization................................................................ 60
10.2.3 Master Data Standardization...................................... 61
10.2.4 Standardization of IT Infrastructure........................... 62
10.2.5 TCO: Total Cost of Ownership.................................. 62
10.2.6 ERP-Template............................................................ 63
10.2.7 Organizational Change Management......................... 64
10.2.8 Localization Requirements for aTemplate................. 65
10.3 Organizational Readiness........................................................... 67
10.4 BS7799 and IS020000 ............................................................... 68
10.5 ITIL: Information TechnologyInfrastructure Library................ 68
10.6 CMMI: Capability Maturity ModelIntegration.......................... 73
10.6.1 CMMI--Capability Level.......................................... 74
10.6.2 CMMI--Maturity Level............................................. 74
10.6.3 CMMI--Services........................................................ 76
10.7 Six Sigma.................................................................................... 77
10.8 Lean IT ....................................................................................... 78
10.9 Conclusions................................................................................ 79
10.10 M A Merger AcquisitionIT Integration............................... 79
10.10.1 Motivation................................................................... 79
10.10.2 M A Objectives........................................................ 80
10.10.3 M A Challenges........................................................ 80
10.10.4 M A IT Integration Strategies.................................. 80
10.10.5 M A IT Integration Areas and Integration
Sequence..................................................................... 82
10.10.6 M A IT Integration Deliverables.............................. 84
References............................................................................................... 85
11 SCM: SupplyChain Management........................................................ 87
11.1 Definition and Goals................................................................... 87
11.2 Demand Forecasting................................................................... 87
11.2.1 Qualitative Forecasting Methods................................ 88
11.2.2 Quantitative Forecasting Methods.............................. 89
11.2.3 Time Series Forecasting Components........................ 89
11.2.4 Naive Forecast............................................................. 90
11.2.5 Simple Moving Average Forecast.............................. 90
11.2.6 Weighted Moving Average Forecast.......................... 91
11.2.7 Exponentially Smoothing Forecasting....................... 91
11.2.8 Linear Trend Forecast................................................. 92
11.3 Inventory Management............................................................... 94
11.3.1 Inventory Costs Overview.......................................... 94
11.3.2 Inventory Management Models: Overview................ 95
11.3.3 Economic Order Quantity Models (EOQ):
Overview..................................................................... 95
11.3.4 The Basic EOQ: Model.............................................. 96
11.3.5 Non-instantaneous Receipt Model............................. 101
11.3.6 Shortages Model......................................................... 104
References............................................................................................... 106
12 CRM: CustomerRelationship Management....................................... 109
12.1 CRM Strategy............................................................................. 109
12.2 CRM: Customer Retention......................................................... 109
12.2.1 Strategic CRM............................................................ 110
12.2.2 Analytical CRM......................................................... 110
12.2.3 Loyalty Management and Share of Wallet................ 110
12.2.4 Customer Lifetime Value CLTV............................... 112
12.2.5 Customer Lifetime Value NPV.................................. 112
12.3 Operative CRM.......................................................................... 113
12.4 Communicative CRM................................................................ 115
12.5 Why CRM Projects Fail............................................................. 115
12.5.1 Case Study: CRM Contributes to a Scary
Halloween for Hershey............................................... 116
12.5.2 Impact Factors of Failed CRM Projects on
Company Performance............................................... 117
References............................................................................................... 118
13 BI: Business Intelligence....................................................................... 119
13.1 Introduction and Definitions...................................................... 119
13.2 OLAP and OLTP....................................................................... 120
13.3 ETL Process............................................................................... 121
13.4 Data Mining............................................................................... 122
13.4.1 Case Study: Target Data Mining Figured Out
a Teen Girl Was Pregnant Before Her Father Did. . . 122
13.4.2 Case Study: Tesco Data Mining for Realtime
Inventory Management and Forecasting.................... 123
13.4.3 Case Study: The LAPD Is Predicting Crimes
Before They Happen.................................................. 124
References................................................................ 125
14 Big Data Analytics................................................................................. 127
14.1 Situation Analysis........................................... 127
14.2 Big Data Between Business and IT ........................................... 128
14.3 Paradigm Shift............................................................................ 129
14.3.1 Separating BI and Big Data....................................... 129
14.3.2 Case Study Paradigm Shift: The Disney
MagicBand................................................................. 129
14.4 The Seven-«- Vs........................................................................... 130
14.4.1 Volume....................................................................... 131
14.4.2 Velocity...................................................................... 132
14.4.3 Variety................................... 132
14.4.4 Veracity...................................................................... 132
14.4.5 Validity....................................................................... 132
14.4.6 Volatility.................................................................... 132
14.4.7 Value.......................................................................... 132
14.5 The Problem of Unstructured Data............................................ 133
14.6 Approach to Image Analytics.................................................... 134
14.6.1 The Golden Ratio....................................................... 134
14.6.2 The Golden Ratio and the Fibonacci Numbers.......... 136
14.6.3 The Fibonacci Spiral.................................................. 138
14.7 Visualization: Data Quality--Outlier Detection........................ 139
14.7.1 Introduction................................................................ 139
14.7.2 The Normal Distribution............................................ 140
14.7.3 Data Quality and Outlier Detection........................... 142
14.8 Text Mining.......................................... 144
14.8.1 Text Mining: Categories............................................. 145
14.8.2 Text Mining: Linguistic and Mathematical
Approach..................................................................... 145
14.8.3 Text Mining: Numerical Duffy Transformation. . . . 146
14.8.4 Text Mining: Numerical Lu Transformation............. 146
14.8.5 Text Mining: Vector Space Model............................. 146
14.9 MapReduce: Basics.................................................................... 150
14.10 MapReduce Application: Social Triangle, e-Discovery............ 151
14.10.1 Step 1: Edge 1 ............................................................ 151
14.10.2 Step 2: Edge 2 ............................................................ 152
14.10.3 Step 3: Edge 3 ............................................................ 153
14.11 Hadoop........................................................................................ 153
14.12 Analytics Lifecycle: Big Data Analytics Process Models......... 154
14.12.1 Initial Situation............................................................ 154
References................................................................................................ 156
Part III Information Material
15 Post-Merger Situation: Alpha Beer...................................................... 161
15.1 Alpha Beer Market: Distribution Structure--Customers........... 161
15.1.1 Alpha Beer Retailer 1................................................. 161
15.1.2 Alpha Beer Retailer 2 ................................................. 161
15.1.3 Alpha Beer Retailer 3 ................................................. 163
15.1.4 Alpha Beer Retailer 4 ................................................. 164
15.1.5 Alpha Beer Distributor................................................ 164
15.1.6 Alpha Beer Wholesaler............................................... 164
15.1.7 Alpha Beer Factory..................................................... 165
15.2 Alpha Beer IT: Infrastructure..................................................... 165
15.2.1 Alpha Beer Retailer 1 ................................................. 165
15.2.2 Alpha Beer Retailer 2 ................................................. 165
15.2.3 Alpha Beer Retailer 3 ................................................. 166
15.2.4 Alpha Beer Retailer 4 ................................................. 166
15.2.5 Alpha Beer Distributor............................................... 166
15.2.6 Alpha Beer Wholesaler.............................................. 167
15.2.7 Alpha Beer Factory..................................................... 167
16 Post-Merger Situation: Green Beer..................................................... 169
16.1 Green Beer Market: Distribution Structure--Customers.......... 169
16.1.1 Green Beer Retailer 1 ................................................. 169
16.1.2 Green Beer Retailer 2 ................................................. 169
16.1.3 Green Beer Retailer 3 ................................................. 172
16.1.4 Green Beer Retailer 4 ................................................. 172
16.1.5 Green Beer Distributor............................................... 172
16.1.6 Green Beer Wholesaler.............................................. 173
16.1.7 Green Beer Factory.................................................... 173
16.2 Green Beer IT: Infrastructure..................................................... 173
16.2.1 Green Beer Retailer 1................................................. 173
16.2.2 Green Beer Retailer 2 ................................................. 174
16.2.3 Green Beer Retailer 3 ................................................. 174
16.2.4 Green Beer Retailer 4 ................................................. 174
16.2.5 Green Beer Distributor............................................... 174
16.2.6 Green Beer Wholesaler.............................................. 175
16.2.7 Green Beer Factory.................................................... 175
17 Post-Merger Situation: Royal Beer..................................................... 177
17.1 Royal Beer Market: Distribution Structure--Customers........... 177
17.1.1 Royal Beer Retailer 1................................................. 177
17.1.2 Royal Beer Retailer 2 ................................................. 177
17.1.3 Royal Beer Retailer 3 ................................................. 180
17.1.4 Royal Beer Retailer 4 ................................................. 180
17.1.5 Royal Beer Distributor............................................... 180
17.1.6 Royal Beer Wholesaler.............................................. 181
17.1.7 Royal Beer Factory.................................................... 181
17.2 Royal Beer IT: Infrastructure..................................................... 181
17.2.1 Royal Beer Retailer 1................................................. 181
17.2.2 Royal Beer Retailer 2 ................................................. 182
17.2.3 Royal Beer Retailer 3 ................................................. 182
17.2.4 Royal Beer Retailer 4 ................................................. 182
17.2.5 Royal Beer Distributor............................................... 183
17.2.6 Royal Beer Wholesaler.............................................. 183
17.2.7 Royal Beer Factory.................................................... 183
18 Post-Merger Situation: Wild Horse Beer............................................ 185
18.1 Wild Horse Beer Market: Distribution
Structure--Customers................................................................ 185
18.1.1 Wild Horse Beer Retailer 1........................................ 185
18.1.2 Wild Horse Beer Retailer 2 ........................................ 185
18.1.3 Wild Horse Beer Retailer 3 ........................................ 188
18.1.4 Wild Horse Beer Retailer 4 ........................................ 188
18.1.5 Wild Horse Beer Distributor...................................... 188
18.1.6 Wild Horse Beer Wholesaler..................................... 189
18.1.7 Wild Horse Beer Factory........................................... 189
18.2 Wild Horse Beer IT: Infrastructure............................................ 189
18.2.1 Wild Horse Beer Retailer 1........................................ 189
18.2.2 Wild Horse Beer Retailer 2 ........................................ 190
18.2.3 Wild Horse Beer Retailer 3 ........................................ 190
18.2.4 Wild Horse Beer Retailer 4 ........................................ 190
18.2.5 Wild Horse Beer Distributor...................................... 190
18.2.6 Wild Horse Beer Wholesaler..................................... 191
18.2.7 Wild Horse Beer Factory........................................... 191
19 Share of Wallet...................................................................................... 193
19.1 Share of Wallet Alpha Beer....................................................... 193
19.2 Share of Wallet Green Beer....................................................... 194
19.3 Share of Wallet Royal Beer....................................................... 194
19.4 Shareof Wallet Wild Horse Beer................................................ 195
19.5 Share of Wallet KDISUPER...................................................... 195
19.6 Share of Wallet KDIFRESH...................................................... 196
19.7 Share of Wallet KDISCOUNT................................................... 196
19.8 Share of Wallet KDIvalue.......................................................... 197
Index............................................................................................................... 199
|
| any_adam_object | 1 |
| author | Gronwald, Klaus-Dieter |
| author_GND | (DE-588)1137719443 |
| author_facet | Gronwald, Klaus-Dieter |
| author_role | aut |
| author_sort | Gronwald, Klaus-Dieter |
| author_variant | k d g kdg |
| building | Verbundindex |
| bvnumber | BV044334301 |
| classification_rvk | QP 345 |
| collection | ZDB-2-SCS |
| ctrlnum | (ZDB-2-SCS)9783662532911 (OCoLC)992529928 (DE-599)BVBBV044334301 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-662-53291-1 |
| format | Electronic eBook |
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| id | DE-604.BV044334301 |
| illustrated | Not Illustrated |
| index_date | 2024-09-20T13:29:36Z |
| indexdate | 2024-09-27T16:41:23Z |
| institution | BVB |
| isbn | 9783662532911 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029737482 |
| oclc_num | 992529928 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-860 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 DE-19 DE-BY-UBM |
| owner_facet | DE-355 DE-BY-UBR DE-860 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 DE-19 DE-BY-UBM |
| physical | 1 Online-Ressource (XXIII, 200 Seiten, 115 illus) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2017 |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Gronwald, Klaus-Dieter Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data Computer science Business logistics Management information systems Data mining Computer Science Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Supply Chain Management Business Information Systems Informatik |
| title | Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data |
| title_auth | Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data |
| title_exact_search | Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data |
| title_full | Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data Klaus-Dieter Gronwald |
| title_fullStr | Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data Klaus-Dieter Gronwald |
| title_full_unstemmed | Integrated business information systems a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data Klaus-Dieter Gronwald |
| title_short | Integrated business information systems |
| title_sort | integrated business information systems a holistic view of the linked business process chain erp scm crm bi big data |
| title_sub | a holistic view of the linked business process chain ERP-SCM-CRM-BI-Big Data |
| topic | Computer science Business logistics Management information systems Data mining Computer Science Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Supply Chain Management Business Information Systems Informatik |
| topic_facet | Computer science Business logistics Management information systems Data mining Computer Science Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Supply Chain Management Business Information Systems Informatik |
| url | https://doi.org/10.1007/978-3-662-53291-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029737482&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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