Course Introduction:
Provides individuals with skills in basic marketing as well as database construction and modification. Individuals with this training may consider a variety of career options, such as working as a database marketing analyst, SAS programmer or marketing statistical modeler.
Course Objectives:
The specific objectives of this unique experience are to help you:
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Use conjoint analysis to measure consumer preferences
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Analyse consumer data to arrive at a numerical measure of the customer’s preference for each attribute and level of attribute
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Interpret the meaning and relevance of customer preference data
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Articulate a strategic rationale for customer segmentation and how segmentation fits into the process of developing marketing strategy
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Articulate potential uses of factor analysis
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Describe customer relationship management
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Interpret a scoring model to make strategic decisions about potential customers and target segments
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Examine data related to customer value
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Identify specific business uses of market response models and how you can develop such models for your business
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Estimate nonlinear market response models
Who Should Attend?
Junior managers, supervisors, line managers, team leaders, administrators – anyone who needs to build a network of strong and positive relationships.
Course Outline:
Module 1:
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Business Culture and Craft
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Marketing
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Marketing Analysis and Planning
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Fundamentals of Marketing Research
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Computer Applications for Marketing Analytics
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Statistics for Marketing Research
Module 2:
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Employment and Career Preparedness
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Case Analysis and Marketing Metrics
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Database Mining and Analytics
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Advanced Computer Applications for Marketing Analytics
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Fundamentals of Interactive Marketing
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Research and Analytics – Capstone
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Fundamentals of Project Management
Module 3:
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Advanced Marketing Research
Advanced Qualitative Methods Analytics for Business Intelligence
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Consumer Behavior
Customer Relationship Management
Module 4:
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Data Analysis and Decision Making
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Data Mining
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Demand Management for Value Chains
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Design of Experiments Interpretation of Data I
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Marketing Insights
Module 5:
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Marketing Models
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Marketing Research
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Marketing Strategy
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Pharmaceutical Marketing Research
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Web Analytics
Course Methodology:
A variety of methodologies will be used during the course that includes:
· (30%) Based on Case Studies
· (30%) Techniques
· (30%) Role Play
· (10%) Concepts
· Pre-test and Post-test
· Variety of Learning Methods
· Lectures
· Case Studies and Self Questionaires
· Group Work
· Discussion
· Presentation
Course Fees:
To be advised as per course locations. This rate includes participant’s manual, Hand-Outs, buffet lunch, coffee/tea on arrival, morning & afternoon of each day.
Course Timings:
Daily Course Timings:
08:00 - 08:20 Morning Coffee / Tea
08:20 - 10:00 First Session
10:00 - 10:20 Coffee / Tea / Snacks
10:20 - 12:20 Second Session
12:20 - 13:30 Lunch Break & Prayer Break
13:30 - 15:00 Last Session