SAP MDM: SAP MDM, or SAP Master Data Management, refers to the management of master data within an organization using SAP software. This skill is measured in the test to assess the candidate's ability to effectively use SAP MDM to handle and maintain critical business data.
SAP MDG: SAP MDG, or SAP Master Data Governance, is a module within SAP that focuses on governance and management of master data. This skill is evaluated in the test to determine the candidate's proficiency in utilizing SAP MDG for governing and controlling master data across various organizational processes.
Master Data Management: Master Data Management (MDM) is a comprehensive approach to ensure that an organization's critical data is accurate, consistent, and up-to-date across different systems. This skill is assessed in the test to gauge the candidate's knowledge and expertise in implementing effective MDM strategies to ensure data integrity and quality.
Data Governance: Data Governance involves defining and implementing policies, processes, and standards to manage and control the availability, usability, and security of enterprise data. Assessing this skill in the test helps recruiters determine the candidate's ability to establish and maintain effective data governance practices to ensure data accuracy, compliance, and security within the organization.
Data Models: Data models are frameworks that represent the structure, relationships, and properties of data elements within an information system. Evaluating this skill in the test enables recruiters to assess the candidate's proficiency in designing and implementing efficient data models to organize and manage data in alignment with business requirements.
Data Quality: Data quality refers to the fitness of data for its intended use, including accuracy, completeness, consistency, and reliability. Measuring this skill in the test allows recruiters to ascertain the candidate's ability to implement data quality processes, tools, and methodologies to ensure high-quality, reliable data for business operations and decision-making.
Data Integration: Data integration involves combining data from different sources and formats into a unified view. This skill is measured in the test to evaluate the candidate's proficiency in integrating data from diverse systems and formats, ensuring data consistency, and enabling effective data sharing and analysis across the organization.
Data Migration: Data migration refers to the process of transferring data from one system or format to another. Assessing this skill in the test helps recruiters assess the candidate's ability to plan, execute, and validate data migration projects, ensuring data accuracy, completeness, and integrity during the transfer process.
Data Governance Framework: A data governance framework is a set of rules, processes, and roles that define how an organization manages and governs its data assets. Evaluating this skill in the test enables recruiters to determine the candidate's understanding of data governance frameworks and their ability to design and implement effective frameworks to govern and control data within the organization.
Data Consolidation: Data consolidation involves the process of merging and combining data from various sources or systems into a single, centralized location. Measuring this skill in the test allows recruiters to assess the candidate's proficiency in consolidating and harmonizing data from different sources, ensuring consistency and accuracy in the consolidated dataset.
