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BIG Data Strategy & application executive masterclass

This workshop is highly interactive in nature, with most of the time being allocated to discussions and a combination of individual and group exercises.

KEY TAKEAWAYS

Attendees will learn how-to and practice:

  • Planning, implementing, and managing big data and analytics projects
  • Assembling data teams
  • Using a data-driven approach to improve business results

DAY 1: TRAINING TOPICS

Overview of Big Data Analytics (BDA)

  • The 3 Vs of BDA and creating value from them to benefit economies, societies and governments

BDA success stories in Southeast Asia region

  • High-impact case studies from a variety of industries and government agencies exploiting BDA

The analytics landscape (descriptive, diagnostic, predictive and prescriptive)

  • Analytics maturity stages, from answering the questions What Happened and Why It Happened, to What Will Happen and What Is the Best Course of Action

The BDA ecosystem (from ingestion to analytics to organizational transformation)

  • Understanding the end-to-end analytics environment from Data Ingestion, ETL and Analytics, to Reports, Dashboards and Actionable Insights

Big data and cloud technologies

  • Understanding cloud computing and running BDA using cloud-based infrastructures such as AWS, GCP and Azure

DAY 2: TRAINING TOPICS

Organizational analytics maturity

  • The 5 stages of data and analytics maturity and how they are related to business strategy, culture, people, process and technologies

Data science professionals and key competency areas

  • Data scientists and data engineers, how they fit into the BDA ecosystem and the skillsets required of them

A systematic approach to starting a data science project

  • Introduction to the CRISP-DM Methodology for high-impact analytics projects

Group activity: Data-driven case study discussion

  • A discussion of a data-driven case study that contains all the elements that have been presented in the workshop so far

Relevant industry use cases

  • A discussion of specific industry use cases that are relevant to the participants to prepare them for the final brainstorming activity

Group activity: Data-driven business case brainstorming and prioritization

  • A logical process of analysis and prioritization to identify “quick wins” business cases or analytics for the participants’ organization. The identified “quick wins” business cases will justify the analytics projects and/or proofs-of-concept

Who should attend

This professional training is designed for Technical Professionals as below:

  • CEO/Managing Director
  • Business Owner
  • CTO
  • CIO
  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Big Data Department Staff
  • Big Data Project Lead
  • Solution Architect
  • Big Data Executive

From various local and global organizations. It is suggested to
attend this masterclass as a group, so that we can create an Action Plan for your organization as a team.

Peter kua

Instructor

Peter Kua, one of the Southeast Asia’s notable Data Science Evangelist with more than 10 years of experience in this field. Extensive ICT experience in various roles: Big Data / Data Science Strategy, Technopreneur, CTO, Project Manager and Software Developer. Startup leadership & management style. Excellent communication skills. Solid network of contacts in the private sector, government and universities/colleges

Industry experience includes Big Data / Data Science Strategy, Open Data, e-learning, plantation systems, FMCG, high-tech manufacturing and training and education

Publication by Peter Kua:

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