The Complete Data Quality and Digital Transformation Course
The Complete Data Quality and Digital Transformation Course
In light of the accelerating Digital Transformation across industries in the past years, it has never been more relevant than it is now during the global pandemic that you should improve your digital literacy and upskill yourself with data analytics skillsets.
This course features the latest addition of an organisation structure - Chief Data Office which enables an organisation to become data and insights driven, 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. You will also be able to check your understanding about the key concepts in the exercises and there are rich reading materials for you to better assimilate these concepts.
At the end of the course, you'll be able to grasp an all-round understanding about below concepts:
Digital Transformation
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 Governance)
Data Quality Management Principles
Data Quality Management Process Cycle
Data Domain
ISO 8000
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 (with a downloadable issue management log template)
After you complete this course, you will receive a certificate of completion.
So how does this sound to you? I look forward to welcoming you in my course.
Cheers,
Bing
Master Key Digital Concepts: Data Quality, Data Governance, Chief Data Office, Data Strategy, Metadata, Data Profiling
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What you will learn
- Chief Data Officer
- Chief Data Office
- Centralised Chief Data Office Organisation Structure
Rating: 3.7
Level: All Levels
Duration: 1.5 hours
Instructor: Bing Yu
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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