Data Governance: A Practical Approach
- 12h Duration
Effective data governance ensures that data is consistent and trustworthy and doesn't get misused.
Today, data is considered as one of the most important assets of an organization. Data governance is, first and foremost, a data management function to ensure the quality, integrity, security, and usability of the data collected by an organization.
In today’s environment, it is key for organizations to ensure that data which fall under their responsibilities are secure, reliable and trustworthy. The quality of Data Governance is one of the levers that will provide a company a competitive edge in its field of activities.
Effective data governance leads to better data analytics, which in turn leads to better decision-making and improved operations support.
This course is suitable for many professionals, but will greatly benefit:
- Users who are involved in data management for their organization.
- Users who are involved in the collection and storage of data.
- Users who work with data and need to understand the importance of the quality and usability of their organization’s data.
- Users who are responsible for departmental or the company’s data analytics.
- Senior Managers who want to understand how they can deliver strategic and organisational change in their organisation.
YOUR TRAINER
Ali Hoolash
Ali Hoolash is a qualified Data and Analytics professional with over 30 years of experience in the field of Analytics and Data Management. Passionate about data science and technology, he has extensive practical working experience in the field of Business Intelligence, Data Governance and Data Visualization. He is currently the Group Business Intelligence Manager of a major player in the hospitality sector. He has vast exposure in Data Governance and coming from a data scientist point of view he will surely amaze your analytical mind.
COURSE CONTENTS
Day One:
What Is Data Governance?
- What Data Governance Involves
- Holistic Approach to Data Governance
- Enhancing Trust in Data
- Classification and Access Control
- Data Governance Versus Data Enablement and Data Security
- Why Data Governance Is Becoming More Important
- The Size of Data Is Growing
- Methods of Data Collection
- Kinds of Data
- New Regulations and Laws Around the Treatment of Data
- Ethical Concerns Around the Use of Data
- Managing Discoverability, Security, and Accountability
- Improving Data Quality
- The Business Value of Data Governance
- Fostering Innovation
- The Tension Between Data Governance and Democratizing Data Analysis
- Manage Risk (Theft, Misuse, Data Corruption)
- Regulatory Compliance
- Why Data Governance Is Easier in the Public Cloud
Ingredients Of Data Governance: Tools
- The Enterprise Dictionary
- Data Classes
- Data Classification and Organization
- Data Quality
- Lineage Tracking
- Key Management and Encryption
- Data Retention and Data Deletion
- Workflow Management for Data Acquisition
- User Authorization and Access Management
Ingredients Of Data Governance: People And Processes
- The People: Roles, Responsibilities, and Hats
- User Hats Defined
- Data Enrichment and Its Importance
- The Process: Diverse Companies, Diverse Needs and Approaches to Data Governance
- Legacy
- Cloud Native/Digital Only
- People and Process Together: Considerations, Issues, and Some Successful Strategies
- Considerations and Issues
- Processes and Strategies with Varying Success
Day Two:
Data Governance Over A Data Life Cycle
- What Is a Data Life Cycle?
- Phases of a Data Life Cycle
- Data Creation, Processing and Storage
- Data Usage
- Data Archiving
- Data Destruction
- Data Life Cycle Management
- Data Management Plan
- Applying Governance over the Data Life Cycle
- Data Governance Framework
- Importance of a Data Governance Policy
- Roles and Responsibilities
- Considerations for Governance Across a Data Life Cycle
Improving Data Quality
- What Is Data Quality?
- Why Is Data Quality Important?
- Data Quality in Big Data Analytics
- Data Quality in AI/ML Models
- Techniques for Data Quality
- Scorecard
- Prioritization
- Annotation
- Profiling
Data Protection
- Planning Protection
- Data Protection in the Cloud
- Multi-Tenancy
- Security
- Policies
- Data Loss Prevention
- Encryption
- Differential Privacy
- Access Transparency
- Data Lineage
- Event Threat Detection
- Data Protection Best Practices
Monitoring
- What Is Monitoring?
- What Should You Monitor?
- Data Quality Monitoring
- Data Lineage Monitoring
- Compliance Monitoring
- Program Performance Monitoring
- Security Monitoring
- What Is a Monitoring System?
- Analysis in Real Time
- System Alerts
- Reporting/Analytics
- Graphic Visualization
- Customization
- Monitoring Criteria
Building A Culture Of Data Privacy And Security
- Data Culture: What It Is and Why It’s Important
- Starting at the Top—Benefits of Data Governance to the Business
- Analytics and the Bottom Line
- Training: Who Needs to Know What
- Beyond Data Literacy
- Motivation and Its Cascading Effects
- Requirements, Regulations, and Compliance
- The Importance of Data Structure
- Staying on Top of Regulations
- Communication
- Agility Is Still Key
- Incident Handling
- Importance of Transparency
- Building Trust
100% Money Back Guarantee
We're so confident of the quality of our courses that we back them up with a 30-day, 100% money-back guarantee. If for any reason you are not satisfied with this course, contact us within 30 days of purchase and you will be given a full refund subject to the our terms and conditions. Go ahead! You have nothing to lose
