Complete Digital Transformation and Data Quality Management Course (2021 Edition)

This course features the latest addition of an organisation structure - Chief Data Office, no matter it's in a centralised, hybrid or de-centralised format. You'll be able to understand how each of the Chief Data Office function works and roles and responsibilities underpinned each pillar which covers the key digital concepts you need to know. There is a focus on the end-to-end data quality management lifecycle and best practices in this course which are critical to achieving the vision set out in the data strategy and laying the foundations for advanced analytics use cases such as Artificial Intelligence, Machine Learning, Blockchain, Robotic Automation etc.

At the end of the course, you'll be able to grasp an all-round understanding about below concepts:

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

6 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 IDQ example)

Tolerance Level

Root Cause Analysis

Data Cleansing

Data Quality Issue Management

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




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