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CQQMA-DATA SCIENCE

Marketing Analytics is the art of critical thinking, creative Problem solving and science of developing and utilizing quantitative marketing decision models to plan, implement, and analyze marketing strategies and tactics.

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CQQMA-DATA SCIENCE

Marketing Analytics is the art of critical thinking, creative Problem solving and science of developing and utilizing quantitative marketing decision models to plan, implement, and analyze marketing strategies and tactics.

  • Summarize  Market Data
  • Pricing Technique
  • Estimating demand curves to determine profit maximizing pricing
  • Cluster Analysis for Market Segmentation
  • Developing Customized Forecasting Model
  • Implementation of Marketing Mix Impact Sales
  • Measuring the Effectiveness of Advertising Program
  • Understanding the Analytics Dimensions Underlying Social Networks & Viral Marketing

Everchanging and fast-moving marketplaces and the related computing environment are making an impact on the structure and content of the leading marketing manager's job. Concurrently, due to the emergence of globalization marketing is so rapidly evolving that it is no longer based on its conceptual content alone. Even though many still see traditional marketing as an art, the new and emerging marketing increasingly looks like social insight engineering, by combining art and science effectively to solve marketing problems. Marketers need more than concepts to fully make use of varied rich data available to them.

  • VEMM
  • FZSM
  • SMM
  • SME
  • Network Structure & Group Influence
  • SM Metrics

Therefore, this course is designed to help techno-management aspirants or professionals move from primitive to specific qualitative marketing and quantitative marketing. The course is primarily designed for learners, who have already acquired basic data analysis skills. Using quantitative marketing cases and related exercises, aspirants will develop marketing plans in various decision contexts. Specifically, this course will introduce a wide variety of quantitative metrics and models to improve marketing decision making in such areas as sales forecasting, customer segmentation/targeting, product/brand positioning, price, and promotion. Therefore, the course will be of value to aspirants planning careers in marketing management, marketing research or consulting. This is a heavily number oriented course that analyzes data and interprets analytical results. It should be understood that data analysis and result interpretation are two primary ways to understand marketing phenomena and solve marketing problems. Specifically, the course objectives are to:  Help you understand how analytical techniques and quantitative models can

  • Enhance decision-making by converting data and information to insights and decisions.
  •  Help you learn to view marketing phenomena and processes
  • In ways that are amenable to quantitative analysis 
  • Expose you to a number of examples of the successful use of marketing analytics.

Business Intelligence & Analytics Lab (BIAL)

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