Big Data: Possibilities and Probabilities (Completed)

The possibilities and probabilities of big data combined with the power of emerging technologies such as robotics process automation (RPA), artificial intelligence (AI), the internet of things (IOT), and blockchain have great potential provide value in new ways. Big data has the potential as well as the possibilities to improve operational efficiency, drive new revenue streams and gain competitive advantages over business rivals. It’s no longer a question of whether big data analytics will reshape the accounting profession, but rather a question of how quickly.

Who Should Attend
Professionals in public practice, business, government, and education who wish to be knowledgeable about the power of big data analytics.

Topics Covered

• What is Big Data?
• Why does Big Data Matter?
• How is Big Data being used?
• Why are Big Data initiatives so difficult?
• What does Big Data mean for the future of work?
• What does Big Data mean for the future of the accounting profession?

Learning Objectives

• Recognize potential hurdles that face implementation of big data analytics initiatives
• Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics
• Identify how to distinguish the "V"s of data including volume, variety, velocity, and veracity in the context of various types of data (e.g. sensory, image, activity data)

Level
Intermediate

Instructional Method
Group: Internet-based

NASBA Field of Study
Information Technology (2 hours)

Program Prerequisites
Basic understanding of accounting and audit standards.

Advance Preparation
None