PROGRAM OVERVIEW:
Since it was first defined in 2001, Big Data has made major advances into consumer lives and virtually every organization. According to IDG, a global market intelligence leader, “From 2005 to 2020, the digital universe will grow by a factor of 300 to 40 trillion gigabytes”, approximately the same as 625 Billion iPhone units. Big Data benefits are becoming increasingly visible due to this growth and the growing organisational acceptance and maturity in the area. According to the National Bureau for Economic Research demand forecast in a retail environment improves as more and more data becomes available.
INTENDED AUDIENCE:
- Board Directors
- CxO Leaders
- Managers and Executives
- Strategy and Innovation Professionals
- Chief Internal Auditors
- Chief Risk Officers
- Governance Professionals
- Finance Professionals
- HR Professionals
- Marketing Professionals
- Engineers
- Data Scientists
- Business Intelligence Professionals
- Business Analysts
- Business Consultants
- Risk and Compliance Analysts
- Finance and Operational Auditors
- IS Auditors
LEARNING OUTCOMES:
- Comprehend the business rationale for using Big Data
- Appreciate Big Data characteristics and types
- Recognize various Big Data sources and the mechanisms to access them
- Evaluate the relevance of the most popular Big Data technologies at present and:
- Understand the applications and functionality of each.
- Estimate the benefits and weaknesses of each.
- Develop a selection methodology for the most appropriate option.
- Design and run different types of Big Data analyses and visualizations, including:
- Creating meaningful visualizations with high impact.
- Understanding Artificial Intelligence (AI) and its applications.
- Employing AI for a specific task, such as estimating construction costs.
- Create a business case for Big Data projects, including costings and expertise requirements
- List the success factors and potential roadblocks.
