Case Study : Fraud Detection System - Mobile & Internet Banking
Menggunakan metode gabungan dari Rule Based dan Unsupervised Learning
- Unsupervised Learning:
- Customer spending behavior
- Customer profiling analysis
- Geographical locations
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Data analytics : Students' social economic grouping
During covid19 pandemic, a school plan to allocate support to students that really need it and at the same time skip the physical on-site survey and interview.
Avoid misallocation by analyzing parents/ family data (school)
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Data analytics: Finding the right strategy to increase fee-based income of cellular ’pulsa’ retailer
A bank which is also offering cellular minutes/ data quota top-up retail intend to find an effective strategy and program which can increase the purchase volume of customers by analyzing the customer behavior and pofile data (bank).
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Machine Learning : Insurance claim checking automation
Claim checking Is tedious manual task which can be automated using machine learning model to reduce checking manual process cost more than 50% and maintaining the total lost to very minimum level. (insurance company).
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Case Study Work Process Streamlining & Automation
A study case of reviewing business processes, perform BPI/BPR and automate processes in leading financial industy…
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Application User-Friendliness and Smartness (Knowledge Management Function)
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