Applying Data Science and Analytics in Marketing

The importance of leveraging data science and analytics to analyze and measure the effectiveness of marketing campaigns to maximize profitability and better optimization on Return of Investment (ROI) in the era of 4th industrial revolution. Marketing campaign optimization involves the application data analysis and machine learning algorithms to build solutions and models that provides valuable insights that increases efficiencies and simplifies KPI metrics monitoring and tracking. Core benefits of applying data science and analytics in marketing includes; mitigating risk of wasteful investment, Increasing ROI, increasing operation efficiencies by monitoring KPI metrics from a centralized platform, identifying and forecasting future trends and patterns.
*Introduction to Marketing Mix Channels, marketing campaigns implementation and the application of data science and analytics across all channels to increase efficiency.
*Data collection from disparate marketing data sources, software and databases.
*Building holistic 360 view of analytics marketing solutions from consumer's interaction with marketing campaigns to engagement on the website towards goal consideration to customer acquisition.
*Data Analytics solutions and models development workflow and use cases of data science in marketing. (Attribution model, predictive model and marketing mix model).
*Data-driven Marketing optimization strategies (A/b testing, customer segmentation and personalized messages/retargeting)