Data analytics have been touted as the most important technology organizations need to bring them to their next frontier and how data analytics can help organisations make better decisions, understand customers better, predict outcomes, optimise resources etc. The proposed training is designed for managers covering several topics in the Data Analytics area.

The training will be conducted by a senior faculty member from the School of Information Systems, Dr. Michelle Cheong, Professor of Information Systems, Associate Dean, SIS Post-Graduate Professional Education and Director, Doctor of Engineering at the Singapore Management University

Target Audience:

Mostly mid-level professionals, and some new to the industry, senior management professionals in a related role

Pre-requisites:

Participants must be comfortable with mathematics and use of software tools (commercially available software tools will be used)

This 2-day course by SMU Academy is designed to achieve the following learning outcomes:

• Understand what data analytics is and learn the different levels of data analytics.

• Establish the linkage between data analytics and decision making, focusing on asking the right questions.

• Explore the different business applications of data analytics to widen the learners’ perspective.

• Participate in the data analytics thinking exercise to apply the CRISP-DM process to think through questions and data.

• Understand the DELTA Framework which the management can use to assess the elements that can put analytics to work and be successful in gaining value from analytics.

• Discuss 3M’s journey into data analytics case to highlight the success factors and potential pitfalls.

• Gain insights into your organization's selfassessment of own analytics readiness, future plan, and the actions to be taken, based on DELTA framework.

• Develop technical know-how in using Excel as a powerful tool to perform data analysis and charting, predictions, and demand forecasting, to answer important business questions.

• Apply the Excel skills acquired to build data visualizations for descriptive analytics for a hands-on exercise.

• Understand what Artificial Intelligence is and its applications.

YOUR TRAINER

Dr. Michelle Cheong

Professor of Information Systems

Associate Dean, SIS Post-Graduate Professional Education

Director, Doctor of Engineering

Singapore Management University

Prior to joining SMU, Dr. Michelle Cheong had 8 years of industry experience leading teams to develop complex IT systems which were implemented enterprise-wide covering business functions from sales to engineering, inventory management, planning, production, and distribution.

She joined SMU in 2005 where she teaches the Business Modeling with Spreadsheets course at the undergraduate and master levels. She is the co-author of a book on the same topic. Michelle was instrumental in designing and launching the Master of IT in Business (Analytics) programme in January 2011, which is the first Analytics master’s programme in Asia. The programme remains the leading one of its kind today. She also designed and teaches the Operations Analytics course in the MITB (Analytics) programme, and several executive courses in Data Analytics for other programmes including Master of Science in Communication Management, IE-SMU MBA, and Master of Science in Innovation.