CDO and Data Quality Accelerator:Strategy to Implementation

Masterclass:Data Quality,Data Governance,Chief Data Office,Digital Transformation,Data Strategy,Metadata,Data Profiling

Created by: Bing Yu
Data&AI Strategy|Digital Transformation|Consulting|M&A

What Will I 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

Requirements

• No prior Chief Data Office or Data Quality knowledge is required
• A basic understanding about digital transformation will be beneficial but not required

Target audience

• 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