Viettel strategic analysis
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- 4. Customer analysis
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P a g e 3.5. Threat of substitutes: In expansion to mobile phones, internet is one of the fastest and most effective methods of communication use today. So, the explosion of information technology has brought many application and products to replace such things as: texting, calling through the internet. But presently, computers and portable phones are being utilized in parallel and supporting each other. The utility of the computer and web is exceptionally great and truly helpful, but it cannot supplant versatile phones and media transmission administrations. => In near future ( maybe next 5 years), there aren’t any products or companies that can replace the position of Viettel Group. 4. Customer analysis - In a competitive and saturated telecommunication market in recent years mobile operators are trying to about big data analytics as an advancement of technology to achieve higher business efficiency in revenue. Confront the drastic wave of changes as such Viettel as the largest telcos. In Vietnam, have successfully developed our built-in data mining solution: the Intel customer insight based on big data, a framework to serve these urgent needs. As the name suggested, the Intel customer insight provides mobile operators with accurate and valuable knowledge of customers' behaviors, habits, and preferences which later can be utilized as resources to guideline marketing staff in designing and deploying business strategies. Referenced from the most up-to- date data platform and international standards for telcos, our product offers six main subsystems ( Churn prediction, customer segmentation, multiple sim-cards usage prediction, social network analysis, point of interest, customer lifetime value) Firstly Churn's prediction subsystem based on customer consumption behavior and interaction with call center data, we can precisely pinpoint the ones who tend to leave our service and introduces suitable promotions to retain them. Secondly, the customer segmentation subsystem enhances mobile operators in dividing customers into different segments of individuals who share common mobile usage habits. Based on this classification, advertising campaigns can be customized to perfectly match the characteristic of each segment member. Thirdly, multiple sim cards usages prediction, finds out subscribers having an intention to using one more SIM card. The subsystem is beneficial to telco operators in tuning policies and optimizing promotion programs to adopt exact customers' demands. Subscriber communities compose operator networks. By analyzing the relationship among Downloaded by 21080076 DUONG TU QUYNH (met21080076@hsb.edu.vn) lOMoARcPSD|15176494 |