Data governance technologies are evolving fast to meet the increasing demand of digital businesses today. This has forced organizations to adopt an all-inclusive data intelligence platform that integrate data governance, data quality and analytics capabilities for data-driven initiatives. Such platform enhances the ability to control data, empowering users to self-service their data needs without relying on just the IT department to solve business problems.
With a proper data governance strategy in place, data will be more secured and increases the audibility. Uniformity of data will make analysing, reporting and decision making easier.
Data governance can allow businesses to successfully take advantage of their data to gain actionable, data-driven insights that are timely, relevant and accurate.
Course Information
- Duration: 5 Day / 40 Hours
- Certification: Participants will receive a Certificate of Completion upon successfully completed the course
- Who Should Attend: IT, Data, Data Management (policy, quality), Data Analytics, Statistic, Business Owners and anyone seeking to acquire knowledge on data governance
Pre-Requisite
It is preferred that participants have foundation knowledge in data governance or attended the Data Governance Foundation Training with CASUGOL
Module 1 Introduction to Data Quality
Introduction
Drivers
Goals and Principles
Essential Concepts
Data Quality Activities
Tools
Techniques
Data Quality & Data Governance
Module 2 What is Data Security
Introduction
Drivers
Goals and Principles
Data Security Activites
Tools
Techniques
Data security governance
Module 3 Metadata management
Introduction
Drivers
Metadata Management Activities
Tools
Techniques
Implementation guidelines
Metadata Governance
Module 4 Reference and Master data management
Introduction
Activities
Tools & Techniques
Implementation guidelines
Organizational and cultural change
Reference and master data governance
Module 5 Data warehouse and business intelligence
Introduction
Drivers, goals and principles, essential concepts
Activities
Tools
Implementation guidelines
DW/BI governance
Module 6 Data Storage and operations
Introduction
Business Drivers, goals and principles, essential concepts
Activities
Tools
Techniques
Implementation guidelines
Data storage and operations governance
Module 7 Data integration and Sharing
Introduction
Business Drivers, goals and principles, essential concepts
Activities
Tools
Implementation Guidelines
Date integration governance
Module 8 Document and Content Management
Introduction
Business Drivers, goals and principles, essential concepts
Activities
Tools
Techniques
Implementation guidelines
Document and content governance
Module 9 Big Data and Data Science
Introduction
Business Drivers, goals and principles, essential concepts
Activities
Tools
Techniques
Implementation guidelines
Big data and data science governanace
