
Enterprise Information Management with SAP
SAP PRESS
2nd Edition
Published on 28. November 2014
Book
Hardback
605 pages
978-1-4932-1045-9 (ISBN)
Description
Learn how to effectively manage your data with the tools in SAP's EIM offering. From SAP Data Services to the latest solutions like SAP PowerDesigner, you'll learn what the different solutions are and how they work together. Then, get started using them for common tasks with the help of step-by-step instructions and guiding screenshots. This is the resource you need to make sure your enterprise is sitting on a solid foundation - of clean data! Information on SAP's EIM OfferingsFind detailed information on SAP's different EIM solutions to learn what they can do for you. In addition, see real-world, practical examples of these tools in use. Step-by-Step InstructionsGet to know each EIM tool. Explore the steps you need to use the solutions for the most common tasks, and use the accompanying screenshots to make sure you're on track.The Classics and the NewcomersFrom SAP Data Services and SAP Information Steward to new topics like SAP HANA Cloud Integration and SAP Power Designer, find what you need to get started.
Highlights:
Information governance
Data migration and archiving
SAP EIM portfolio
SAP HANA and Hadoop
Rapid-deployment solutions
SAP Data Services
SAP Master Data Governance
SAP HANA Cloud Integration
SAP PowerDesigner
SAP Information Steward
SAP Information Lifecycle Management
More details
Series
Language
English
Place of publication
Bonn
Germany
Target group
Professional and scholarly
Edition type
New edition
Dimensions
Height: 22.9 cm
Width: 17.5 cm
ISBN-13
978-1-4932-1045-9 (9781493210459)
Schweitzer Classification
Other editions
Previous edition

Ginger Gatling
Enterprise Information Management with SAP
Book
05/2012
1st Edition
SAP Press
€69.95
Article exhausted; check for reprint
Persons
Author
Corrie Brague is the director of Data Quality Product Management
for SAP, where she defines software solutions that
help businesses assess, improve, and monitor their data
quality. She participates in ASUG and works with a broad
range of customers and partners to support market-driven
product direction, as well as enhance the insight of the customer
and market space within the development organization.
She has more than 15 years of experience in data quality
and mail automation software solutions gained through
positions in software engineering, project management, development management, and product management.
Ryan Champlin has more than 14 years of experience in the
field of information management, having worked within
both engineering and product management organizations.
At Business Objects and SAP, he played an instrumental role
as a product manager on the industry's first single platform
for data quality and data integration: SAP Data Services. He
currently works as the director of engineering within the
SAP HANA team at SAP, where he is responsible for driving
new innovations on the SAP HANA platform around information
management and the data quality management solutions for various SAP applications (e.g., SAP ERP, SAP CRM, and SAP MDG).
David Dichmann is director of product management for
SAP's enterprise architecture and modeling tool, PowerDesigner.
David manages the product management team, driving
next-generation modeling and architecture. David has
more than 24 years of industry experience in both technical
and business roles, working with small, start-up, and established
businesses. David has been published in industry
magazines and is a regular speaker at industry events.
Ina Felsheim is a director of solution management for
SAP's EIM products. She has been with SAP since 1997, and
currently works on information governance and end-to-end
use scenarios. She has managed a diverse set of EIM products
and is the SAP point person for both the Data Governance
and Data Management SIGs, as well as the EIM Influence
Council.
George Keller holds a BS degree in technical management
and has more than 20 years of experience in the field of
information management, having worked within engineering,
business applications, and product management organizations.
He has also served as a professional delivery project
manager for a number of Fortune 100 clients. He has extensive
experience in cloud integration, master data management,
data warehousing, ERP, finance, and customer relationship
management. At SAP, he served as a product
manager for SAP HANA Cloud Integration for data services and served as an expert consultant and evangelist for master data services.
Markus Kuppe is vice president and chief solution architect for SAP Master Data Governance. Since joining SAP development in 1997, he led various programs across the SAP Business Suite in topics such as reporting, user experience, or architecture-always in close collaboration with customers. He is a frequent author and speaker at business events. Markus holds a degree with distinction in mathematics (Dipl. Math.) from the University of Darmstadt, Germany.
Philip On is an industry veteran for Enterprise Information
Management with more than 13 years of experience on this
topic working for SAP, Business Objects, and Oracle. He is
currently the senior director of marketing at SAP, and is
responsible for the entire EIM portfolio, as well as strategy
and solutions for the cloud.
Helmut Stefani studied applied linguistics at the Johannes Gutenberg University in Mainz/Germersheim, Germany, where he graduated as a technical translator for English and Spanish. After working in England he returned to Germany to work for an American company as a CAD software localization specialist. He has worked at SAP as an information developer and product management specialist in data archiving since 1997, and has jointly authored several publications on this subject.
Content
Introduction ... 17
PART I SAP's Enterprise Information Management Strategy and Portfolio
1. Introducing Enterprise Information Management ... 25
1.1 Defining Enterprise Information Management ... 25
1.2 Common Use Cases for EIM ... 33
1.3 Common Drivers for EIM ... 36
1.4 Impact of Big Data on EIM ... 41
1.5 SAP's Strategy for EIM ... 43
1.6 Typical User Roles in EIM ... 44
1.7 Example Company: NeedsEIM Inc. ... 45
1.8 Summary ... 48
2. Introducing Information Governance ... 49
2.1 Introduction to Information Governance ... 50
2.2 Evaluating and Developing Your Information Governance Needs and Resources ... 52
2.3 Optimizing Existing Infrastructure and Resources ... 59
2.4 Establishing an Information Governance Process: Examples ... 60
2.5 Rounding Out Your Information Governance Process ... 70
2.6 Summary ... 76
3. Big Data with SAP HANA, Hadoop, and EIM ... 77
3.1 SAP HANA ... 77
3.2 SAP HANA and EIM ... 89
3.3 Big Data and Hadoop ... 96
3.4 SAP HANA and Hadoop ... 109
3.5 EIM and Hadoop ... 110
3.6 Summary ... 112
4. SAP's Solutions for Enterprise Information Management ... 113
4.1 SAP PowerDesigner ... 115
4.2 SAP HANA Cloud Integration ... 118
4.3 SAP Data Services ... 120
4.4 SAP Replication Server ... 133
4.5 SAP Data Quality Management, Version for SAP Solutions ... 137
4.6 SAP Information Steward ... 139
4.7 SAP NetWeaver Master Data Management and SAP Master Data Governance ... 149
4.8 SAP Solutions for Enterprise Content Management ... 154
4.9 SAP Information Lifecycle Management ... 165
4.10 Information Governance in SAP ... 173
4.11 Needs EIM Inc. and SAP's Solutions for EIM . 179
4.12 Summary ... 181
5. Rapid-Deployment Solutions for Enterprise Information Management ... 183
5.1 Rapid-Deployment Solutions for Data Migration ... 184
Rapid-Deployment Content ... 189
5.2 Rapid-Deployment Solutions for Information Steward ... 197
5.3 Rapid-Deployment Solutions for Master Data Governance ... 203
5.4 Summary ... 207
6. Practical Examples of EIM ... 209
6.1 EIM Architecture Recommendations and Experiences by Procter and Gamble ... 209
6.2 Managing Data Migration Projects to Support Mergers and Acquisitions ... 228
6.3 Evolution of SAP Data Services at National Vision ... 236
6.4 Recommendations for a Master Data Program ... 243
6.5 Recommendations for Using SAP Process Integration and SAP Data Services ... 246
6.6 Ensuring a Successful Enterprise Content Management Project by Belgian Railways ... 251
6.7 Recommendations for Creating an Archiving Strategy ... 261
6.8 Summary ... 266
PART II Working with SAP's Enterprise Information Management Solutions
7. SAP PowerDesigner ... 269
7.1 SAP PowerDesigner in the SAP Landscape ... 270
7.2 Defining and Describing Business Information with the Enterprise Glossary . 271
7.3 The Conceptual Data Model ... 273
7.4 Detailing Information Systems with Logical and Physical Data Models ... 278
7.5 Canonical Data Models, XML Structures, and Other Datastores ... 280
7.6 Data Warehouse Modeling: Movement and Reporting ... 282
7.7 Link and Sync for Impact Analysis and Change Management ... 284
7.8 Comparing Models ... 288
7.9 Summary ... 290
8. SAP HANA Cloud Integration ... 291
8.1 SAP HANA Cloud Integration Architecture ... 292
8.2 Getting Started with SAP HANA Cloud Integration ... 297
8.3 Summary ... 305
9. SAP Data Services ... 307
9.1 Data Integration Scenarios ... 307
9.2 SAP Data Services Platform Architecture . 309
9.3 SAP Data Services Designer Overview ... 314
9.4 Creating Data Sources and Targets ... 318
9.5 Creating Your First Job ... 324
9.6 Basic Transformations Using the Query Transform and Functions ... 327
9.7 Overview of Complex Transformations ... 330
9.8 Executing and Debugging Your Job ... 336
9.9 Exposing a Real-Time Service ... 337
9.10 Data Quality Management ... 343
9.11 Text Data Processing ... 388
9.12 Summary ... 403
10. SAP Information Steward ... 405
10.1 Cataloging Data Assets and Their Relationships ... 406
10.2 Establishing a Business Term Glossary ... 410
10.3 Profiling Data ... 413
10.4 Assessing the Quality of Your Data ... 425
10.5 Monitoring with Data Quality Scorecards ... 437
10.6 Quick Starting Data Quality ... 461
10.7 Summary ... 465
11. SAP Master Data Governance ... 467
11.1 SAP Master Data Governance Overview ... 468
11.2 Getting Started with SAP Master Data Governance ... 476
11.3 Governance for Custom-Defined Objects: Example ... 484
11.4 Rules-Based Workflows in SAP Master Data Governance ... 497
11.5 NeedsEIM Inc.: Master Data Remediation ... 508
11.6 Summary ... 511
12. SAP Information Lifecycle Management ... 513
12.1 The Basics of Information Lifecycle Management ... 515
12.2 Overview of SAP Information Lifecycle Management ... 516
12.3 Managing the Lifecycle of Information in Live Systems ... 529
12.4 Managing the Lifecycle of Information from Legacy Systems ... 534
12.5 System Decommissioning: Detailed Example ... 542
12.6 Summary ... 562
13. SAP Extended Enterprise Content Management by OpenText ... 563
13.1 Capabilities of SAP Extended ECM ... 565
13.2 How SAP Extended ECM Works with the SAP Business Suite ... 570
13.3 Integration Content for SAP Business Suite and SAP Extended ECM ... 572
13.4 Summary . 582
The Authors ... 583
Index ... 591