five

江苏地区客户对云服务器需求量数据

收藏
浙江省数据知识产权登记平台2024-10-11 更新2024-10-12 收录
下载链接:
https://www.zjip.org.cn/home/announce/trends/69644
下载链接
链接失效反馈
官方服务:
资源简介:
通过收集和分析江苏地区客户对云服务器的需求量数据与消费相关数据,了解客户对云服务器的需求量的购买力水平和消费偏好,以及了解云服务器在江苏地区是否畅销,从而为本行业的企业制定云服务器销售策略提供参考,更好地为客户提供个性化的商品和服务。1.数据采集:采集本公司在江苏地区客户的云服务器需求量相关交易订单数据。2.数据处理:对采集到数据进行分类、合并、累加,便于分析使用。3.算法加工:将处理后的数据进行需求量分析:P={a1(单笔最少订单数量)/b1(单笔最少消费额度)+a2(单笔最高订单数量)/b2(单笔最高消费额度)+a3(平均订单数量)/b3(平均消费额度)}*k,k为消费系数,不同地区系数大小值不同,按经验取值江苏地区k值为0.8。4、数据分类分级:把所有参与计算的公司需求指数从高到低排序,按照赋分制对公司的需求指数进行百分制赋分(需求指数6赋分85,需求指数4赋分65,以次类推),将客户等级划分为“高、中、低”不同的类别和级别(85分以上标记为“高等级”,65-85分区间内标记为“中等级”,65分以下标记为“低等级”),帮助公司更好地理解客户,高等级企业可每月1至2次与企业沟通,中等级可每季度1至2次与企业沟通,低等级企业可每半年1至2次与企业沟通,从而制定更精准的生产与销售策略。

By collecting and analyzing data on customer demand for cloud servers and their related consumption behaviors in Jiangsu Province, this dataset aims to figure out customers' purchasing power, consumption preferences regarding cloud server demand, as well as the market popularity of cloud servers in Jiangsu. It provides references for enterprises in the industry to formulate cloud server sales strategies, so as to better provide personalized products and services to customers. 1. Data Collection: Collect transaction order data related to cloud server demand from the company's customers in Jiangsu Province. 2. Data Processing: Classify, merge and aggregate the collected data to facilitate subsequent analysis work. 3. Algorithm Processing: Carry out demand analysis on the processed data with the following formula: P = [(a1 / b1) + (a2 / b2) + (a3 / b3)] * k Where: - a1: minimum single-order quantity, b1: minimum single-order consumption amount - a2: maximum single-order quantity, b2: maximum single-order consumption amount - a3: average single-order quantity, b3: average single-order consumption amount - k: consumption coefficient, with an empirical value of 0.8 for Jiangsu Province. 4. Data Classification and Grading: Sort all calculated enterprise demand indices in descending order, and assign centesimal scores based on a standardized scoring system (e.g., a demand index of 6 corresponds to a score of 85, a demand index of 4 corresponds to a score of 65, and so on). Then divide customers into three tiers: "High Level", "Medium Level" and "Low Level" (scores above 85 are marked as "High Level", scores within the range of 65 to 85 are marked as "Medium Level", and scores below 65 are marked as "Low Level"). This helps the company better understand its customers: communicate with High Level enterprises 1 to 2 times per month, with Medium Level enterprises 1 to 2 times per quarter, and with Low Level enterprises 1 to 2 times every six months, so as to develop more precise production and sales strategies.
提供机构:
杭州智足数赞科技有限公司
创建时间:
2024-09-19
搜集汇总
数据集介绍
main_image_url
特点
该数据集记录了江苏地区客户对云服务器的需求量及相关消费数据,包含1147条记录,每年更新一次。数据涵盖了客户的基本信息、订单数量、消费额度、需求指数和客户等级等,主要用于分析客户需求,帮助企业制定销售策略和提供个性化服务。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作