{"title":"运用商业智能在PT. XYZ的运营活动中实现营销智能系统","authors":"A. Gunawan","doi":"10.1109/ICIMTech50083.2020.9211288","DOIUrl":null,"url":null,"abstract":"PT. XYZ is a vehicle automotive retail company that already has 26 branches spread across major cities and has more than 150 salesmen. The marketing positions consist of 5 levels, from salesman, supervisors, branch heads, area managers to marketing directors. One of the tasks of the marketing director is to set a five-level selling price level and determine the promotion of all products from PT. XYZ the number of customers from PT. XYZ currently is around 12,500 consisting of wholesalers, shops, workshops, companies and factories. Competition in the automotive world is very tight. Field salesman who are already equipped with price strata and promotions sometimes have difficulty in the field where competitors can quickly change their selling prices, provide attractive discounts or promotions to existing customers. According to interviews with salesmen in the field, making decisions about prices, discounts and promotions takes an average of 2 to 3 days, so that the potential loss of orders and even loss of customers can occur at any time. and according to data obtained on average every salesman loses 3 to 5 orders every month, this is because the long chain of communication at PT. XYZ in addition to selling prices and promotions. Salesman must be responsive to the needs and complaints from customers. Therefore, we need a Marketing Intelligence System with Business Intelligence support to be able to support salesman operations in the field more efficiently and effectively. The research method used is to start with data collection by conducting interviews, design applications in accordance with the findings and results of the analysis and the final step is followed by the design of the data house and dashboard for marketing.","PeriodicalId":407765,"journal":{"name":"2020 International Conference on Information Management and Technology (ICIMTech)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of Marketing Intelligence Systems for Operational Activities Using Business Intelligence in PT. XYZ\",\"authors\":\"A. Gunawan\",\"doi\":\"10.1109/ICIMTech50083.2020.9211288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PT. XYZ is a vehicle automotive retail company that already has 26 branches spread across major cities and has more than 150 salesmen. The marketing positions consist of 5 levels, from salesman, supervisors, branch heads, area managers to marketing directors. One of the tasks of the marketing director is to set a five-level selling price level and determine the promotion of all products from PT. XYZ the number of customers from PT. XYZ currently is around 12,500 consisting of wholesalers, shops, workshops, companies and factories. Competition in the automotive world is very tight. Field salesman who are already equipped with price strata and promotions sometimes have difficulty in the field where competitors can quickly change their selling prices, provide attractive discounts or promotions to existing customers. According to interviews with salesmen in the field, making decisions about prices, discounts and promotions takes an average of 2 to 3 days, so that the potential loss of orders and even loss of customers can occur at any time. and according to data obtained on average every salesman loses 3 to 5 orders every month, this is because the long chain of communication at PT. XYZ in addition to selling prices and promotions. Salesman must be responsive to the needs and complaints from customers. Therefore, we need a Marketing Intelligence System with Business Intelligence support to be able to support salesman operations in the field more efficiently and effectively. The research method used is to start with data collection by conducting interviews, design applications in accordance with the findings and results of the analysis and the final step is followed by the design of the data house and dashboard for marketing.\",\"PeriodicalId\":407765,\"journal\":{\"name\":\"2020 International Conference on Information Management and Technology (ICIMTech)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Information Management and Technology (ICIMTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIMTech50083.2020.9211288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Information Management and Technology (ICIMTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMTech50083.2020.9211288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
PT. XYZ是一家汽车零售公司,在全国主要城市拥有26家分公司,销售人员超过150人。市场职位分为5个级别,从业务员、主管、分公司负责人、区域经理到市场总监。市场总监的任务之一是设定一个五级销售价格水平,并确定PT. XYZ所有产品的促销。PT. XYZ目前的客户数量约为12,500,包括批发商、商店、车间、公司和工厂。汽车行业的竞争非常激烈。在竞争对手可以迅速改变销售价格、向现有客户提供有吸引力的折扣或促销活动的情况下,已经具备价格分层和促销手段的现场销售人员有时会遇到困难。根据对该领域销售人员的采访,做出关于价格、折扣和促销的决定平均需要2到3天的时间,因此订单的潜在损失甚至客户的损失随时都可能发生。根据获得的数据,平均每个销售人员每个月损失3到5个订单,这是因为除了销售价格和促销之外,PT. XYZ的沟通链很长。销售人员必须对顾客的需求和投诉作出反应。因此,我们需要一个具有商业智能支持的营销智能系统,以便能够更高效地支持销售人员在该领域的操作。使用的研究方法是从进行访谈的数据收集开始,根据分析的发现和结果设计应用程序,最后一步是设计数据屋和营销仪表板。
Implementation of Marketing Intelligence Systems for Operational Activities Using Business Intelligence in PT. XYZ
PT. XYZ is a vehicle automotive retail company that already has 26 branches spread across major cities and has more than 150 salesmen. The marketing positions consist of 5 levels, from salesman, supervisors, branch heads, area managers to marketing directors. One of the tasks of the marketing director is to set a five-level selling price level and determine the promotion of all products from PT. XYZ the number of customers from PT. XYZ currently is around 12,500 consisting of wholesalers, shops, workshops, companies and factories. Competition in the automotive world is very tight. Field salesman who are already equipped with price strata and promotions sometimes have difficulty in the field where competitors can quickly change their selling prices, provide attractive discounts or promotions to existing customers. According to interviews with salesmen in the field, making decisions about prices, discounts and promotions takes an average of 2 to 3 days, so that the potential loss of orders and even loss of customers can occur at any time. and according to data obtained on average every salesman loses 3 to 5 orders every month, this is because the long chain of communication at PT. XYZ in addition to selling prices and promotions. Salesman must be responsive to the needs and complaints from customers. Therefore, we need a Marketing Intelligence System with Business Intelligence support to be able to support salesman operations in the field more efficiently and effectively. The research method used is to start with data collection by conducting interviews, design applications in accordance with the findings and results of the analysis and the final step is followed by the design of the data house and dashboard for marketing.