Big Data Course

Big Data Strategy

This big data / AI strategy and application workshop aims at realizing the promises of big data and artificial intelligence in driving successful data- and insights-driven organizations. Participants will gain an understanding of the key elements and considerations needed to ideate and develop high-value BDA and AI applications. This is a non-technical strategic class.

Expected Learning Outcomes:

At the end of this highly interactive learning course, participants should be able to:

a) Appreciate the big data and AI ecosystem and how it applies to various industry business cases, specifically the retail industry

b) Gain a strategic understanding on how to develop high-impact advanced analytics

c) Obtain in depth insights with list of “quick wins” through successful relevant industry use cases

Course Methodologies:
  • Case studies
  • Experiential activities
  • Interactive group reflection
    and brainstorming
  • Strategic action plan creation
Learning Duration:
  • 2 Day (Offline)
  • 14 Hours (Online)

Course Outline and Syllabus

Section
Topics
The Big Data and AI landscape
  • Understanding the importance of big data and AI, concepts, and applications in the digital economy
Leading Practices for advanced analytics
  • Case study of local and global companies in applications of advanced analytics
The Analytics maturity landscape
  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive
Data Governance
  • Importance of Data Governance
BDA/AI Ecosystem
  • Understanding ecosystem from ingestion, analytics to organizational transformation.
Resources Requirements
  • Assessing BDA / AI talents and skills needed
Organizational Analytic Maturity
  • In relation to Business Strategy, Culture, People, Process, and Technologies.
Data Storytelling
  • Case Study
Systematic approach to BDA/AI project
  • A structured methodology for high-impact analytics projects

Contact Information

+60 17-282 8183

P37, Kelana Square,
Jalan SS7/26, Kelana Jaya,
47301 Petaling Jaya, Selangor.