Reducing Churn Through Social Network Analysis

[Shane Butler]

Earlier in the month local data miner Tim Manns presented at the Sydney Data Miners group.* Tim spoke on some work been doing at Optus around using mobile call patterns to establish social networks and using these networks to reduce customer churn.* Interestingly, there are also applications in many other areas, including data cleansing, for [...]

Earlier in the month local data miner Tim Manns presented at the Sydney Data Miners group.* Tim spoke on some work been doing at Optus around using mobile call patterns to establish social networks and using these networks to reduce customer churn.* Interestingly, there are also applications in many other areas, including data cleansing, for example, where one person has purchased two mobile phones and given one to their spouse or child.* Using this analysis we can try to determine which account is likely to be the actual account holder and infer the details (such as age) of the other customer.

For a full write up of Tim’s work, check out James Taylor’s PAW 2009 summary or head over to Tim’s data mining blog.



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