SAP Master Data Governance (MDG) Features

Administration (3)

Data Modelling: As reported in 119 SAP Master Data Governance (MDG) reviews. Tools to (re)structure data in a manner that allows extracting insights quickly and accurately
Workflow Management: As reported in 118 SAP Master Data Governance (MDG) reviews. Tools to create and adjust workflows to ensure consistency.
Dashboards and Visualizations: Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 114 SAP Master Data Governance (MDG) reviews.

Sensitive Data Compliance: Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards. This feature was mentioned in 110 SAP Master Data Governance (MDG) reviews.
Training and Guidelines: Provides guidelines or training related to sensitive data compliance requirements, 115 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.
Policy Enforcement: Based on 111 SAP Master Data Governance (MDG) reviews. Allows administrators to set policies for security and data governance
Compliance Monitoring: Monitors data quality and send alerts based on violations or misuse 112 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.

Data Preparation: As reported in 116 SAP Master Data Governance (MDG) reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model
Data Distribution: Facilitates the disseminating of collected big data throughout parallel computing clusters 114 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.
Data Unification: Compile data from across all systems so that users can view relevant information easily. 118 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.

Data Profililng: Monitors and cleanses data with the help of business rules and analytical algorithms. This feature was mentioned in 98 SAP Master Data Governance (MDG) reviews.
Reporting and Visualization: Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console. 99 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.
Hierarchy Management: Captures and manages data hierarchy and definitions. 100 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.
Reference Data Management: Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems. 100 reviewers of SAP Master Data Governance (MDG) have provided feedback on this feature.

Access Control: Authenticates and authorizes individuals to access the data they are allowed to see and use. This feature was mentioned in 94 SAP Master Data Governance (MDG) reviews.
Roles Management: Helps identify and manage the roles of owners and stewards of data. This feature was mentioned in 95 SAP Master Data Governance (MDG) reviews.
Compliance Management: Helps adhere to data privacy regulations and norms. This feature was mentioned in 93 SAP Master Data Governance (MDG) reviews.
Data Governance: As reported in 106 SAP Master Data Governance (MDG) reviews. Encompasses of policies, principles and qualities to promote access to accurate and certified master data.
Data Masking: As reported in 101 SAP Master Data Governance (MDG) reviews. Helps mask or hide critical information to prevent unauthorized access.

Multi-Domain: As reported in 99 SAP Master Data Governance (MDG) reviews. Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.
Match & Merge: Based on 97 SAP Master Data Governance (MDG) reviews. Matches master data records and merges them into a single accurate record across source systems.
Relationship Mapping: Based on 99 SAP Master Data Governance (MDG) reviews. Shows relationships between records and entries, defined in a repository model.
User Interface: Based on 105 SAP Master Data Governance (MDG) reviews. Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Decision Making: Makes informed choices based on available data and objectives

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives