CDO and Data Quality Accelerator:Strategy to Implementation

🌟 Masterclass on Data Quality, Data Governance & the Chief Data Office 🌟

Course Headline:

Elevate Your Organization's Data Maturity with the CDO and Data Quality Accelerator

Course Introduction:

In light of the AI revolution across industries in the past years, it has never been more relevant than it is now that you should improve your digital literacy and upskill yourself with data analytics skillsets. [updated in 2024]

Course Overview:

This course features the latest addition to an organization's structure - the Chief Data Office , which enables a company, no matter its format (centralised, hybrid, decentralised), to become data and insights driven. You'll delve into understanding how each of the Chief Data Office's functions works, the roles and responsibilities that underpin each pillar, and the key digital concepts you need to know.

Key Focus Areas:

The course covers an end-to-end data quality management lifecycle and best practices, which are critical to achieving the vision set out in your data strategy. This sets a foundation for advanced analytics use cases such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Robotic Automation (RPA). You'll have opportunities to test your understanding of these concepts through exercises and can refer to rich reading materials to better assimilate them.

Course Outcomes:

By the end of this course, you will have a comprehensive understanding of the following key concepts:

• Digital Transformation: Understand the drivers and implementation strategies for digital transformation within organizations.
• Chief Data Officer/Chief Data Office: Learn about the roles and how they differ in centralised structures.
• Data Strategy: Develop a framework for your data strategy, aligning it with business objectives.
• Data Monetisation: Explore opportunities to monetize your organization's data assets.
• Data Governance: Grasp the principles of effective data governance and the roles of data owners and stewards.
• Data Quality Management: Understand the principles, processes, and cycle for managing data quality effectively.
• Data Architecture: Learn about designing robust data architectures that cater to the needs of modern businesses.
• Operations Intelligence: Discover how to leverage operations intelligence for better decision-making.
• Advanced Analytics and Data Science: Get an overview of these areas and their significance in today's data-driven world.
• Data Quality Objectives: Set clear, measurable objectives for your data quality initiatives.
• 6 Data Quality Dimensions and Examples: Dive into the key dimensions of data quality and understand their importance.
• ISO 8000: Learn about this international standard for data quality terms.
• Data Profiling: Understand how to profile data effectively, including technologies from industry leaders like Informatica, Oracle, SAP, and IBM.
• Metadata: Discover the significance of metadata in data management and learn about the differences between technical and business metadata.
• Business Validation Rules: Implement rules that ensure the integrity of your data.
• Data Quality Scorecard: Learn how to create a scorecard using an Informatica example and apply it to your organization.
• Tolerance Level: Determine appropriate tolerance levels for data quality.
• Root Cause Analysis: Apply root cause analysis to address recurring data issues.
• Data Cleansing: Understand the best practices for cleansing data.
• Data Quality Issue Management: Use our downloadable issue management log template to streamline your processes.

What You'll Get:

Upon completion of this course, you will receive a certificate of completion, signifying your newfound expertise in data quality and governance.

So how does this sound to you? I look forward to welcoming you into my course and guiding you on this transformative journey.

Cheers,

Bing Yucourse Instructor

Enroll now and be part of the data revolution! 🚀💻📊