Business Analytics

Topic 1: Introduction to Data Analytic Thinking

• Why every business should is now a data business.

• Use cases for data.

• Data Science, Data-Analytic Thinking, and Data Science Capability as a Strategic Asset

Topic 2: Business Problems and Data Science Solution

• The Data Mining Process

• Implication for Managing the Data Science Team

• Data dashboard, data democratization, and data storytelling.

• Costs and benefits, Expected Value, Evaluation, baseline performance, and Implications for Investment in Data

• Data governance, ethics, and trusts.

Topic 3: Using Data to Understand Customers

• customer analytics

• real-time personalization

• micro-moments,

• the customer-led design process,

• personal connections with customers

Topic 4: Using Data to Create More Intelligent Services

• Tech services in banking, financial services, and insurance

• Tech services healthcare and pharmaceutical

• Tech services in fashion and clothing

• Tech services in education and training

Topic 5: Using Data to Make More Intelligent Products

• autonomous vehicles

• intelligent home products

• intelligent healthcare products

• intelligent sports products

Topic 6: Using Data to Improve Business Processes

• sales, marketing, and customer service

• distribution, warehousing, and logistics

• product development

• manufacturing and productions

Topic 7: Other data mining and machine learning applications in business

• Addressing The Churn Problem with Tree Induction.

• Evidence and Probabilities Application for Business

• Text Mining Application in Business

• Profiling: Finding Typical Behavior

• Link Prediction and Social Recommendations

• Data Reduction, Latent Information, and Movie Recommendation

• Data-Driven Causal Explanations and a Viral Marketing Example

Topic 6: Data Science and Business Strategy -Proposal Development