Data Standardization Frameworks

Data Standardization Mastery: Consistency, Collaboration. Format Consistency, Industry-Specific Standards

Created by: KultureHire Education
Instructor at Udemy

Created by: Kadhiravan Jayachandiran
Founder @KultureHire & YourExcelGuy

What Will I Learn?

• Understanding of Data Standardization Concepts: Learners will gain a solid understanding of the concept of data standardization
• Key Aspects of Data Standardization: You will be familiar with the key aspects of data standardization, such as format consistency
• Benefits of Data Standardization: Understand the wide-ranging benefits of data standardization, including improved data quality, enhanced data integration
• Types of Data Standardization: Various types of data standardization, such as format standardization, categorical standardization, unit standardization etc
• Data Standardization Frameworks: such as ISO/IEC 11179, Data Documentation Initiative (DDI), HL7, ISO 20022, OGC Standards, W3C Standards, GS1 Standards
• Data Standardization in Industry Verticals: explore how data standardization is applied in various industry verticals, including healthcare, finance, retail etc
• Data Standardization Best Practices: gain insights into best practices for data standardization, including considerations for format consistency etc

Requirements

• Some Knowledge of Data Analysis

Target audience

• Data Analysts: Professionals responsible for analyzing and interpreting complex datasets to inform business decisions.
• Data Scientists: Individuals who apply advanced statistical and mathematical techniques to extract insights and build predictive models from data.
• Database Administrators (DBAs): Professionals responsible for the installation, configuration, and maintenance of database management systems.
• Data Quality Analysts: Individuals ensuring the accuracy, completeness, and consistency of data through various quality assurance processes.
• Business Intelligence (BI) Developers: Professionals building tools and systems for gathering, storing, and analyzing business data to support decision-making.
• Data Governance Professionals: Individuals responsible for establishing and enforcing data management policies and practices within an organization.
• Data Stewards: Professionals who ensure that data assets are properly managed, protected, and used in compliance with organizational policies.
• Business Analysts: Professionals bridging the gap between business needs and data solutions, translating requirements into actionable insights.
• Students and Aspiring Data Professionals: Individuals pursuing a career in data science, analytics, or related fields who can benefit from a foundational understanding of data standardization.