Facebook-f Linkedin Instagram Youtube Tiktok
Search

Business Analytics: Using Analytics as a Competitive Advantage

Programme Overview

What is Business Analytics and why is it important in leading companies, enterprises and organisations?
Analytics is reshaping industry competition and organizations’ core businesses at an accelerating pace. In McKinsey Global Survey 2017, respondents say that the changes data and analytics have brought to their industries are growing in both magnitude and scope. Across industries, the use of analytics is increasingly changing the nature of competition in the industries significantly.

Transformational uses of analytics have been applied across major industries from education, entertainment and hospitality, financial services, health care, retail, supply chain, transportation, manufacturing and information technology sectors. These approaches have had a direct impact on the business outcomes.

Analytics plays a crucial role across industries and within the organisations. From identifying business opportunities, gaining deeper insights, making data driven decisions, ensuring adoption, growing capabilities, analytics plays a vital role in impactful business outcomes. Understanding the strengths (and limitations) of Analytics empowers the next generation of IT and business professionals to maximize the use of Analytics and ensure the best outcomes for the organisations they work in.

Learning Objectives

Over the course of these lectures, participants will gain an understanding of what Business Analytics actually is and the basic principles behind it. From these fundamentals, they will then be provided with an overview of current business analytics in the major domains where analytics is being applied, a workable approach to drive the business analytics adoption in the workplace and finally the development of an exploratory data analysis dashboard for communication with their stakeholders.

How they Benefit

With an understanding of Business Analytics and its application, participants will have the basic skills and knowledge to allow them to identify opportunities in the companies and organisations through Analytics. This course will also provide participants with a solid foundation to allow them to further develop their business analytics skillset over the course of their training and careers.

Prerequisites

This course is targeted towards those who intend to follow a career in Analytics and other related courses. There are no prerequisites for this course as the material will cover the basics of analytics through advanced applications in companies, enterprises and organisations.
The course will be delivered in English.

Programme Content

• Introduction to Business Analytics
• Business Analytics Principles
• Applications of Business Analytics
• Practical Business Analytics
• Final Project Presentation

Instructors


Ms Samantha SowMs Samantha Sow

Ms Samantha Sow

Ms Samantha Sow

Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.

Contact Us

Write to us at soc-ace@nus.edu.sg for more details.

return to Main Page

Advanced Computing for Executives

11 Research Link
COM 3, #B1-07
Singapore 119391
Email: soc-ace@nus.edu.sg

Facebook-f Linkedin Instagram Youtube Tiktok

terms and conditions  

course catalogue  

Registration Guides  

About us

Programmes for individuals     

Solutions for organisations  

ONLINE LEARNING    Â