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Workshop on Analytics for Business Managers is designed for business managers looking to harness the power of analytics to make data-driven decisions and drive organizational success. Focusing on key areas such as customer analytics, business modeling, and advanced statistical methods, the course equips participants with the tools and techniques needed to understand and apply analytics in real-world business scenarios.
The program covers customer profiling, segmentation, and psychographic analysis, helping managers gain deeper insights into their customer base. It also explores advanced business modeling concepts such as Customer Lifetime Value, Credit Risk Modeling, and Product Life Cycle Modeling, enabling managers to make informed decisions based on data.
Participants will also dive into statistics and data analysis through practical exercises using Excel, covering topics like descriptive statistics, forecasting, and time series analysis. Additionally, the workshop introduces social network analysis and its application in marketing, including target marketing and the use of graph theory for product placement and advertisement diffusion.
By the end of this workshop, business managers will have a strong foundation in analytics, enabling them to leverage data for strategic decision-making, customer relationship management, and driving business growth. This course is ideal for managers seeking to enhance their analytical skills and implement effective business strategies.
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
Current Fee Structure
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