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Consultancy Project Preliminary Findings

This consultancy project, led by Alan Cheah Kah Hoe and a team from COIT, UNITEN, aims to identify customers likely to default on payments to Tenaga Nasional Berhad (TNB) using data mining techniques. Kicked off on October 15, 2012, and scheduled for completion by July 15, 2013, the study employs the CRISP-DM methodology to uncover hidden patterns and trends in customer behavior. The project is budgeted at RM99,875 and seeks to provide TNB with actionable insights to mitigate payment defaults.

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Consultancy Project Preliminary Findings

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  1. Consultancy ProjectPreliminary Findings Using Data Mining to Identify TNB Customers Likely to Default Payment

  2. Group Members for this project are from the COIT, UNITEN • Alan Cheah Kah Hoe (Leader) • Assoc. Prof. Dr. Mohd Sharifuddin Ahmad • Mohana Shanmugam • Zaihisma Che Cob • Mohammad Shukeri Yusuff • Ammuthavali Ramasamy Kicked-off date :15th October 2012 Duration : 9 months Expected Completion date : 15th July 2013 Cost of Study: RM99,875

  3. CRISP-Data Mining Methodology: a powerful tool to detect trends and patterns using data Cross Industry Standard Process for Data Mining is a methodology process that is used to mine huge data. E.g. e-CIBS Hidden trends and patterns will be identified using CRISP-DM. Main research question: “To identify customers who are likely to default payment to TNB Distribution

  4. THANK YOU

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