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Can your data privacy protocols prevent data breaches? With this guide, you´ll develop and implement a privacy policy that protects your data and complies with GDPR. Learn to block and delete data, implement purpose-based processing, and determine who can access what information in your SAP system. Use the Information Retrieval Framework, SAP MDG, SAP Read Accessing Logging, and other tools to support your data privacy efforts. Get compliant before it´s too late!

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... Foreword ... 15

... Preface ... 17

... Objective of the Book ... 17

... Composition of the Book ... 18

... Acknowledgments ... 23

1 ... Introduction to General Data Protection Regulation ... 25

1.1 ... What Does the GDPR Mean for you? ... 25

1.2 ... Which Requirements Require Technical Support? ... 53

1.3 ... Which Requirements Can Be Technically Supported? ... 72

1.4 ... Summary ... 79

2 ... Personal Data in SAP Business Suite and SAP S/4HANA ... 81

2.1 ... SAP Business Suite and SAP S/4HANA Data ... 81

2.2 ... Personal Data in SAP ERP ... 84

2.3 ... Personal Data in SAP ERP HCM ... 99

2.4 ... Personal Data in SAP CRM ... 103

2.5 ... SAP Business Suite Technical Integration Example ... 108

2.6 ... Summary ... 109

3 ... Implementation Approach ... 111

3.1 ... Project Implementation Steps ... 111

3.2 ... Record of Processing Activities Approaches ... 130

3.3 ... Summary ... 132

4 ... Blocking and Deletion with SAP Information Lifecycle Management ... 133

4.1 ... Introduction to SAP ILM ... 133

4.2 ... Preparatory Steps ... 143

4.3 ... Blocking from a Business Perspective ... 168

4.4 ... Deletion from a Business Perspective ... 185

4.5 ... Legal Case Management ... 191

4.6 ... Time-Based Blocking of Personal Data in Personnel Management ... 193

4.7 ... Summary ... 195

5 ... Purpose-Based Processing ... 197

5.1 ... Controller and Purpose ... 197

5.2 ... Organizational Structures (Line Organization) ... 200

5.3 ... Process Organizational Structures ... 206

5.4 ... How Organizational Structures Define Purpose ... 214

5.5 ... Summary ... 215

6 ... Data Controller Rule Framework ... 217

6.1 ... Data Controller Rule Framework ... 221

6.2 ... Summary ... 237

7 ... Authorization Concept ... 239

7.1 ... Users and Authorizations: An Introduction ... 239

7.2 ... Rethinking Organizational Levels ... 244

7.3 ... Defining Process Attributes ... 247

7.4 ... Authorization Risks ... 250

7.5 ... Summary ... 254

8 ... Information Retrieval Framework ... 255

8.1 ... Transparency: Access to Data and Information ... 256

8.2 ... Setup of the Information Retrieval Framework ... 257

8.3 ... SAP ILM Objects in the Information Retrieval Framework ... 260

8.4 ... Creating an Information Retrieval Framework Data Model ... 264

8.5 ... Handling a Data Subject Request ... 279

8.6 ... Central Instance ... 282

8.7 ... Further Technical Information ... 283

8.8 ... Summary ... 284

9 ... Read Access Logging ... 285

9.1 ... Scope of Read Access Logging ... 285

9.2 ... Setup and Maintenance ... 287

9.3 ... Logging Purpose and Domains ... 290

9.4 ... Recordings for User Interface Channels ... 292

9.5 ... Configuration ... 297

9.6 ... Evaluation of Logs ... 301

9.7 ... Configurations for Remote API Channels ... 305

9.8 ... Conditions ... 307

9.9 ... Transport, Import, and Export ... 312

9.10 ... Summary ... 312

10 ... SAP Master Data Governance ... 315

10.1 ... Master Data Maintenance Scenarios ... 316

10.2 ... Maintaining Sensitive Data ... 322

10.3 ... Organizational Separation ... 324

10.4 ... Data Quality Assurance Using Services ... 326

10.5 ... Summary ... 329

11 ... SAP Test Data Migration Server ... 331

11.1 ... Use Cases ... 332

11.2 ... Structure and Functionality ... 335

11.3 ... Integration of the System Landscape in SAP TDMS ... 346

11.4 ... Data Protection with SAP TDMS ... 347

11.5 ... Summary ... 351

12 ... Accountability: Protection, Audits, Controls, and Documentation ... 353

12.1 ... Control Frame and Principles of Processing ... 354

12.2 ... Lawfulness, Fairness, and Transparency ... 355

12.3 ... Purpose Limitation ... 357

12.4 ... Data Minimization ... 360

12.5 ... Accuracy ... 364

12.6 ... Storage Limitation ... 366

12.7 ... Integrity and Confidentiality ... 369

12.8 ... Accountability ... 377

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