Course description

The rise of big data in the future of business would necessarily involve using big data and analytics. Big Data has evolved to an extent that organisations have to grapple with its three capabilities to harness the strategic value posed by it.

In this context, organisations will have to think about how their business models have to adapt to this new data-driven reality. Data semantics is an essential aspect of data that needs to be recognised. The challenges of identifying the correct semantics of the large amount of data residing in organisations, and data governance is discussed in this course.

Learning Objectives:

• Understand the rise of big data as a strategic asset of organisation
• Understand the three capabilities of data that organisations face
• Recognise the importance and challenges of identifying the semantics of data
• Understand the three dimensions of Analytics and the Analytics Platform Framework
• Understand the evolution of data storage models and methods
• Understand the risk associated with poor data governance and recall the processes associated with data risk management
• Understand the importance of data governance
• Understand the data governance framework and rules, and the principles of master data management
• Be aware of some data governance best practices

Intended For:

• Audit Professionals / PAIP 
• Finance Professionals  / PAIB 
• Public Sector Finance
• C-suite & Directors and Business Owners

This module will also be relevant to data professionals working in data management teams, professionals working in a data storage and management environment, as well as professionals involved in data governance, auditing and compliance. 

Competency Mapping: 

• CPE Category 5 = 1.0 CPE Hour