Business Analytics Applications
Training Provider: SINGAPORE UNIVERSITY OF SOCIAL SCIENCES
Course Reference: TGS-2023037350
S$438
Original: S$1,461
Save S$1,023
About This Course
This course introduces various applications of business analytics in customer relationship management
(CRM). The course covers a wide range of CRM applications, including customer acquisition and
segmentation, cross-selling and up-selling, customer loyalty, retention and churn, credit scoring and
fraud detection. To be effective, the results of a business analytics project must be actionable. To this
end, the course emphasises the cross-industry standard process for data mining (CRISP-DM) in the
applications of business analytics to CRM.
What You'll Learn
1 Organise the key concepts relevant to Customer Relationship Management (CRM) analytics.
2 Distinguish the differences between cross-selling and up-selling.
3 Describe customer loyalty, retention and churn.
4 Discuss credit scoring concepts.
5 Examine the different predictive modelling techniques used in fraud detection.
6 Set up the CRISP-DM framework for a data mining problem.
7 Evaluate the application of CRM business analytics.
8 Interpret the credit scores.
9 Implement business analytics techniques with the use of appropriate software.
2 Distinguish the differences between cross-selling and up-selling.
3 Describe customer loyalty, retention and churn.
4 Discuss credit scoring concepts.
5 Examine the different predictive modelling techniques used in fraud detection.
6 Set up the CRISP-DM framework for a data mining problem.
7 Evaluate the application of CRM business analytics.
8 Interpret the credit scores.
9 Implement business analytics techniques with the use of appropriate software.
Entry Requirements
Diploma or an equivalent qualification from a recognised institution
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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