MARKETING ANALYTICS
DURATION
NEXT RUN
TBA
FEES
SGD 121.00 after MAX Funding
SGD 1,070.00 with GST
VENUE
NUS Business School
NUMBER
NUS Business School Short Courses
+65 6516 7872
OVERVIEW

Develop data-driven rigorous solutions to commonly faced marketing problems

With increasing recognition of the role of analytics in our economy, the demand for skilled data-analytics professionals is set to grow quickly.

This course aims to provide participants with the basic skills needed to analyse data for better marketing decisions:

  • Overview of marketing problems frequently faced by Asian managers
  • Discussion on the kinds of data currently available to solve those problems
  • Focus on the methodologies and skills needed for analysing data
Topic Coverage

Data analysis for marketing problems such as:

  • Customer segmentation
  • Customer value measurement
  • Demand forecasting
  • Market entry
  • Pricing
  • Channel management

Discussion on traditional forms of data (such as survey data and scanner data) and big data (such as textual data and search engine data).

Address data analysis of digital and offline marketing domains, and from business-to-business and business-to-consumer settings.

Faculty

narayan, vishal
Associate Professor
View Profile

All individuals who are required to make marketing decisions, and have access to data, including: Marketing managers; Advertising professionals; Consumer banking professionals; Entrepreneurs; Consultants; Retailing professionals; Analytics professionals; and Managers in non-marketing functions who wish to grow into marketing roles.

Who Should Attend
DATES AND FEES
Date Venue after MAX Funding with GST Registration
TBA
NUS Business School SGD 121.00 SGD 1,070.00
Application Procedure & Deadline
Participants are strongly advised to apply at least 2 weeks in advance.

Pre-Requisites

This course assumes a basic level of comfort with Microsoft Excel. Participants should be able to import data, sort it, and perform simple functions such as addition, multiplication, division, and creating tables. Participants will be required to bring laptops to class, and to analyze data in class using Excel. All analysis in this course will be done using Excel.