As we transition from an industrial to knowledge economy, an organization's ability to create and successfully leverage data and knowledge assets will be an important competitive factor. Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions.
This course will focus specifically on the understanding of state-of-the-art data mining techniques and other knowledge management concepts.
- Basics to Business Analytics
- Lab exercise on Regression using real data
- Lab Exercise on Clustering
- RFM Analysis
- No data mining tool (e.g., SAS, R) should be used as a “Black Box”. We cannot blindly accept the results. We need to understand how each model works and use that knowledge to interpret the output provided.
- Data is never perfect, and neither is any model. Participants will understand the output and learn to work with models to get useful insights.
- Explain nuances of each data mining technique using real-life examples.
- Participants will have good understanding of practical issues relating to data mining. They will be confident in applying these techniques to the everyday problems at their workplace.