CDO and Data Quality Accelerator:Strategy to Implementation

CDO and Data Quality Accelerator:Strategy to Implementation, available at $34.99, has an average rating of 4.75, with 18 lectures, based on 110 reviews, and has 550 subscribers.

You will learn about Chief Data Officer Chief Data Office Centralised Chief Data Office Organisation Structure Data Strategy Data Monetisation Data Governance Data Stewardship Data Quality Data Architecture Data Lifecycle Management Operations Intelligence Advanced Analytics and Data Science Data Quality Objectives Data Quality Dimensions and Examples Roles and Responsibilities of Data Owners and Data Stewards Data Quality Management Principles Data Quality Management Process Cycle Data Profiling Data Profiling Technologies (Informatica, Oracle, SAP and IBM) Metadata Differences Between Technical and Business Metadata Business Validation Rules Data Quality Scorecard (with Informatica example) Tolerance Level Root Cause Analysis Data Cleansing Data Quality Issue Management IOS 8000 Data Domain This course is ideal for individuals who are Students who are interested in learning about the end-to-end data quality management fundamentals and best practices or Students who have non-digital background and would like to explore career opportunities across data analytics disciplines or Students who have technical background and would like to understand from a big picture about how their work fits in a wider digital organisation or Students who would like to understand how Chief Data Office structure works in an organisation or Students who would like to learn about data ownership and data stewardship or Students who are considering applying data quality standards and implement data quality management processes within their organisations or Students who are taking their starting steps out of their studies in the field of data analytics It is particularly useful for Students who are interested in learning about the end-to-end data quality management fundamentals and best practices or Students who have non-digital background and would like to explore career opportunities across data analytics disciplines or Students who have technical background and would like to understand from a big picture about how their work fits in a wider digital organisation or Students who would like to understand how Chief Data Office structure works in an organisation or Students who would like to learn about data ownership and data stewardship or Students who are considering applying data quality standards and implement data quality management processes within their organisations or Students who are taking their starting steps out of their studies in the field of data analytics.

Enroll now: CDO and Data Quality Accelerator:Strategy to Implementation

Summary

Title: CDO and Data Quality Accelerator:Strategy to Implementation

Price: $34.99

Average Rating: 4.75

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: £69.99

Quality Status: approved

Status: Live

What You Will Learn

• Chief Data Officer
• Chief Data Office
• Centralised Chief Data Office Organisation Structure
• Data Strategy
• Data Monetisation
• Data Governance
• Data Stewardship
• Data Quality
• Data Architecture
• Data Lifecycle Management
• Operations Intelligence
• Advanced Analytics and Data Science
• Data Quality Objectives
• Data Quality Dimensions and Examples
• Roles and Responsibilities of Data Owners and Data Stewards
• Data Quality Management Principles
• Data Quality Management Process Cycle
• Data Profiling
• Data Profiling Technologies (Informatica, Oracle, SAP and IBM)
• Metadata
• Differences Between Technical and Business Metadata
• Business Validation Rules
• Data Quality Scorecard (with Informatica example)
• Tolerance Level
• Root Cause Analysis
• Data Cleansing
• Data Quality Issue Management
• IOS 8000
• Data Domain

Who Should Attend

• Students who are interested in learning about the end-to-end data quality management fundamentals and best practices
• Students who have non-digital background and would like to explore career opportunities across data analytics disciplines
• Students who have technical background and would like to understand from a big picture about how their work fits in a wider digital organisation
• Students who would like to understand how Chief Data Office structure works in an organisation
• Students who would like to learn about data ownership and data stewardship
• Students who are considering applying data quality standards and implement data quality management processes within their organisations
• Students who are taking their starting steps out of their studies in the field of data analytics

Target Audiences

• Students who are interested in learning about the end-to-end data quality management fundamentals and best practices
• Students who have non-digital background and would like to explore career opportunities across data analytics disciplines
• Students who have technical background and would like to understand from a big picture about how their work fits in a wider digital organisation
• Students who would like to understand how Chief Data Office structure works in an organisation
• Students who would like to learn about data ownership and data stewardship
• Students who are considering applying data quality standards and implement data quality management processes within their organisations
• Students who are taking their starting steps out of their studies in the field of data analytics