SAP Big Data Predictive Analytics : An Overview

Overview

Big data analytics is the process of examining large data setsto uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.

Syllabus

• Introduction to Big Data Analytics
Definition and Importance
Key Concepts and Terminology
• Understanding Predictive Analytics
Definition and Applications
Importance in Business Context
• Overview of SAP Solutions for Big Data
Introduction to SAP HANA
SAP Predictive Analytics Tools
• Data Management in SAP
Data Collection and Storage
Data Integration and Preprocessing
• Exploratory Data Analysis
Techniques for Pattern Detection
Identifying Trends and Correlations
• Predictive Modeling
Types of Predictive Models
Building Models with SAP Tools
• Evaluating Predictive Models
Model Validation Techniques
Key Performance Metrics
• Case Studies and Applications
Marketing and Customer Insights
Operational Efficiency Improvements
• Challenges and Considerations
Data Privacy and Security
Ensuring Data Quality
• Future Trends in Big Data Predictive Analytics
Emerging Technologies
Industry Innovations
• Final Project and Real-World Application
Application of Learned Concepts
Discussion and Presentation
• Course Summary and Key Takeaways
Recap of Major Topics
Practical Steps for Implementation

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Taught by

Global Learning Labs .

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Subjects

Business