What is your next education pathway ?

-

Department
Department
SCHOOL OF BUSINESS
Campus
Campus
Colombo Campus / Rajagiriya Campus
Level
Level
Workshops
Method
Method
Duration
Method
02 Days
Medium
Medium
English

Entry Requirements

  • Business Managers of Advertising, Marketing, Retail, Banking, and Insurance Industries together with Professionals from the Data Science and Engineering disciplines can profit from content that employs a practical approach to the solution of a wide array of current and emerging business problems.

Commencement

Pending

Programme Fees

  • Course Fee: LKR 15,000 (Per Day)

Course Structure And Modules

  • Customer Analytics and Insight

  • Customer Profiling: Demographic, Geographic, Income & other industry-specific attributes

  • Segmentation: Cluster Analysis Techniques and their application to Customer Classification

  • Psychographic Profiling: Personality Profiling models and Techniques

  • Analytics & Customer Insight: Holistic view of Customer, Organizational & Market data

  • Business Modeling

  • Customer Life Time Value: Time Value of Money concepts & Discounted Cash Flow models

  • Index Creation: Customer Rating & Grading techniques for Decision Support Systems

  • Credit Risk Modeling: Principals of Risk Analysis and guidelines for model creation

  • Product Life Cycle Modeling: Growth and Decay curves, model estimation and fitting

  • Customer Loyalty and Rewards Schemes: Analytical approaches to managing Customer base

  • Statistics and Data Analysis for Analytics (Computer Lab Practical using Excel)

  • Descriptive Statistics: Probability Concepts, Measures of Centrality and Dispersion, Correlations

  • Distributions from Data: Derive Histograms, Ogives, Empirical Cumulative Distribution Functions

  • Goodness of fit: Chi-Square Test

  • Time Series Analysis: Trend, Seasonality, Cyclical Variation and Decompositions

  • Forecasting: Single/Multiple Regressions and Exponential smoothing

  • Social Network Analysis and Marketing

  • Introduction to Network Theory: Actors, Links, Random Walks, and Influence Diffusion

  • Graph Theory Applications: Social Graphs, Bipartite Graphs & their Properties

  • Measures of Centrality: Leaders, Followers, Gatekeepers, Communities

  • Quantification: Estimate values for Actors and Network attributes needed for Target Marketing

  • Target Marketing: Exploiting SNA for Product Placement & Advertisement Diffusion