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Consultancy Project Preliminary Findings

Consultancy Project Preliminary Findings. Using Data Mining to Identify TNB Customers Likely to Default Payment. 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

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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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