SAP Data Security
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What Is Data Security?
Data security is the practice of protecting data from unauthorized access, corruption, or theft throughout its lifecycle. Data security includes every aspect of information security, from the physical security of hardware and storage devices to administrative and access controls and application security. It also includes putting in place specific controls, standard policies, and procedures to protect data from a range of threats.
What Is SAP Data Security?
SAP security for the intelligence enterprise falls into four categories: identity and access governance, data protection and privacy, cybersecurity, and enterprise risk and compliance. In the data protection and privacy area, SAP has implemented a wide range of measures to help protect data controlled by SAP and its customers. These measures include:
What Is Data Security?
Data security is the practice of protecting data from unauthorized access, corruption, or theft throughout its lifecycle. Data security includes every aspect of information security, from the physical security of hardware and storage devices to administrative and access controls and application security. It also includes putting in place specific controls, standard policies, and procedures to protect data from a range of threats.
What Is SAP Data Security?
SAP security for the intelligence enterprise falls into four categories: identity and access governance, data protection and privacy, cybersecurity, and enterprise risk and compliance. In the data protection and privacy area, SAP has implemented a wide range of measures to help protect data controlled by SAP and its customers. These measures include:
- Data Processing Agreements: SAP signs data processing agreements with its cloud services provider, which mirror the terms of SAP’s customer-facing data protection agreement and include standard contractual clauses (SCCs). SAP implements and maintains technical and organizational measures to adequately protect personal data.
- Data Transfer Impact Assessments: SAP publishes FAQs to support customers with questions related to data transfer impact assessments when they are using SAP Cloud services.
- Data Protection Management System: The SAP data protection management system uses SAP’s data protection controls framework for all internal data protection and privacy controls, which cover the requirements of international industry standards.
- Internal Data Protection: SAP regularly trains employees and ensures data protection compliance with regular audits on the business and legal entity levels.
Further Resources for SAPinsiders
10 Best Practices for Enforcing Data Security, Control, and Consistency in the Software Logistics Process. In this article, security architect Kehinde Eseyin provides best practices, tips, and guidelines for ensuring that the process of making changes and transporting changed data in the SAP ABAP system is well secured against possible security threats and risks.
A Holistic Approach to Managing Cybersecurity & Protecting Your Data. This article provides tips and best practices to secure your data in the intelligent enterprise. SAP offers nearly a dozen solutions employed by many organizations — including SAP itself — to respond to compliance and security requirements and, in the event of a breach, minimize the impact, relates Bruce Romney, Senior Director of Product Marketing for SAP Governance, Risk and Compliance (GRC) and Security Solutions.
Overview of SAP Cybersecurity and Data Protection Solutions. In this presentation, Arndt Lingscheid, Global Solution Owner Cybersecurity and Data Protection at SAP SE, details steps organizations can take to secure the SAP S/4HANA business application environment.
Vendors that can assist SAP customers with data security include: Appsian Security, Capgemini, Fastpath, HPE, Intel, Kyriba, Layer Seven Security, NetApp, Onapsis, Rackspace, Saviynt, Security Weaver, Thales, Virtustream, Xiting, and Xpandion.
935 results
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- SAP EIM
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Data Management Tools in SAP EIM Portfolio – Part 2
Reading time: 4 mins
SAP Data Services is an enterprise-grade software suite facilitating seamless data integration, migration, warehousing, and quality management. It efficiently extracts, transforms, and loads data from diverse sources into a centralized hub for analysis and reporting, ensuring data consistency and precision across systems. This empowers businesses to derive insights from reliable data, aiding informed decision-making. In…
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Leveraging SAP HANA to Enhance SAP Business Planning and Consolidation’s Capabilities
Reading time: 25 mins
SAP Business Planning and Consolidation (BPC) 10.1, along with its host environments (SAP Business Warehouse [SAP BW] and SAP HANA) provide abundant design choices to meet today’s business planning needs. See a comparison between the various models available in BPC to facilitate appropriate model selection based on business priorities. The potential to enhance BPC capabilities...…
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- SAP Process Design
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Data Mining with the Analysis Process Designer in SAP BW 3.5
Reading time: 9 mins
The Analysis Process Designer (APD) workbench, introduced in BW 3.1 Content (BW 3.0B SP6), allows users to combine numerous transformations into a single data flow. It offers a less technical approach to enhancing subject-oriented, non-volatile data that has already been integrated, cleansed, and transformed in the data warehouse. The author examines current APD features and...…
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Turn Any-Sized Data Volume into Business Value: Discover the Power of SAP Data Warehouse Cloud
Reading time: 13 mins
Data volumes today are growing exponentially due to the various ways that data is being produced. SAP customers are being inundated with information as more and more data is arriving into hybrid environments of on-premise and cloud systems from various ERP solutions, data lakes, customer feedback via mobile apps, and social media interactions, to name…
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Tips on How to Secure and Control SAP HANA
Reading time: 12 mins
Rahul Urs discusses how to implement security and controls in SAP HANA and points out potential security flaws and common oversights. Key Concept SAP HANA is an in-memory, column-based database management system designed to support real-time analytics and transaction processing. As part of the SAP HANA database, security and controls play an important role to harden the...…
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Better Star Schema Design Means Better Performance
Reading time: 13 mins
Implementing an efficient star schema data model in your BW environment is critical if you expect your system to perform well. The author introduces you to the star schema and explains how it is used across the BW system and in the InfoCubes that underpin the system. Key Concept Data modeling in a BW system...…
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Custom Data Slices Protect Your BI Integrated Planning Data
Reading time: 11 mins
You can use a custom data slice and standard exit functionality to create a data slice that you can lock and unlock. This allows the person responsible for BI Integrated Planning (BI-IP) configuration to set up a BI-IP layout in which users cannot update data cells manually. Sample code is included Key Concept A data...…
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Data Cleansing in Real Time Using BusinessObjects Data Services
Reading time: 10 mins
Extracting the right data from your transaction system for analysis and decision making is important. You can standardize and correct data using SAP BusinessObjects Data Services. A real-time data migration example illustrates the concepts and walks you through the process. The scenario can help technical teams in any organization understand the data quality process for...…
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- SAP Fiori
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Look Deeper into SAP Fiori: It’s More Than a Pretty UI
Reading time: 14 mins
Open Data Protocol (OData) services power the back end of your SAPUI5 applications. Because OData is a web standard protocol, its flexibility makes it useful above and beyond Fiori applications. In this article, several alternate uses for OData are proposed, with examples to illustrate expanding your use of OData services. Key Concept Open Data Protocol...…
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Master Data Management: An Overview
Reading time: 7 mins
Master Data Management (MDM) is a critical process that helps businesses maintain consistent and high-quality data across various domains such as customer, product, and location information. As businesses increasingly rely on multiple applications and systems like ERP and CRM, the risk of data duplication and inconsistency grows, making it challenging to access accurate and timely…
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