Marketing Database and Market Research

21-10-2024 - 25-10-2024 3300 Dubai

 

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:

  • Use conjoint analysis to measure consumer preferences
  • Analyse consumer data to arrive at a numerical measure of the customer’s preference for each attribute and level of attribute
  • Interpret the meaning and relevance of customer preference data
  • Articulate a strategic rationale for customer segmentation and how segmentation fits into the process of developing marketing strategy
  • Articulate potential uses of factor analysis
  • Describe customer relationship management
  • Interpret a scoring model to make strategic decisions about potential customers and target segments
  • Examine data related to customer value
  • Identify specific business uses of market response models and how you can develop such models for your business
  • 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:

  • Business Culture and Craft
  • Marketing
  • Marketing Analysis and Planning
  • Fundamentals of Marketing Research
  • Computer Applications for Marketing Analytics
  • Statistics for Marketing Research

 

Module 2:

  • Employment and Career Preparedness
  • Case Analysis and Marketing Metrics
  • Database Mining and Analytics
  • Advanced Computer Applications for Marketing Analytics
  • Fundamentals of Interactive Marketing
  • Research and Analytics – Capstone
  • Fundamentals of Project Management

Module 3:

  • Advanced Marketing Research 
    Advanced Qualitative Methods Analytics for Business Intelligence 
  • Consumer Behavior 
    Customer Relationship Management

Module 4:

  • Data Analysis and Decision Making
  • Data Mining 
  • Demand Management for Value Chains  
  • Design of Experiments Interpretation of Data I 
  • Marketing Insights 

Module 5:

  • Marketing Models
  • Marketing Research
  • Marketing Strategy
  • Pharmaceutical Marketing Research
  • 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

 

Courses By Category
2024
English Training Plan
2024
Arabic Training Plan
Approved Provider

Global Innovation Institute…

ICXI Assessment

Abu Dhabi Centre for…

EFQM

International Accreditation…

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