广东省贝因美授权门店经验状况分析数据

贝因美作为奶粉行业重要品牌，授权门店数量多地域广，销售受地区发展，人口组成等客观条件影响，因此数据收集整理以省份作为划分区间。本数据通过对广东省授权门店经营状况数据的收集和分析,了解门店实际经营状况，更好地为门店提供品牌的商品和服务，对销售行业，门店经营模式都有指导意义。（例如：加大对A,B类门店的铺货以及新品推送，投放优惠至C,D类门店，提高竞争力；对E类门店进行进一步市场调研，及时采取品牌新举措，应对当地市场变化）1、数据收集：从门店系统数据库中，筛选2024年广东省门店经营相关数据，选中字段为：门店编号，门店名称，门店区域，是否存在增值服务，是否属于核心商圈，其中“是否存在增值服务”，“是否属于核心商圈”属于辅助判定指标。2、数据算法加工：a.用SUM函数以及均值计算，直接输出对应门店“2024年平均每月婴配粉门店POS营业额”所在区间（门店系统内具体数字属于公司机密，选中导出字段为计算后的数值区间）； b.使用IF函数，根据营业额及其他指标进行营业状况分级：IF【2024年平均每月婴配粉门店POS营业额＞50万，且辅助判断指标满足2个“是”】，判定为A类门店；IF【2024年平均每月婴配粉门店POS营业额＞50万，且辅助判断指标满足0或1个“是”】，判定为B类门店；IF【10万＜2024年平均每月婴配粉门店POS营业额≤50万，且辅助判断指标满足2个“是”】判定为C类门店；IF【10万＜2024年平均每月婴配粉门店POS营业额≤50万，且辅助判断指标满足0或1个“是”】,判定为D类门店；IF【2024年平均每月婴配粉门店POS营业额≤10万，不论辅助判定指标如何】，判定为E类门店。（数据库内皆为有效数据，不存在营业额≤0的情况）。3.数据应用：以年为单位对门店经营状况量化分析，加大对A,B类门店的铺货以及新品推送，投放优惠至C,D类门店，提高竞争力，对E类门店进行进一步市场调研，及时采取品牌新举措，应对当地市场变化。

As a leading brand in the infant formula industry, Beingmate has a vast network of authorized stores spanning multiple regions. Its sales are influenced by objective factors such as regional economic development and demographic composition, so data collection and organization are segmented by provinces. This dataset collects and analyzes the operational data of authorized stores in Guangdong Province to gain insights into their actual operating conditions, better deliver the brand's products and services to stores, and provide valuable guiding implications for the sales industry and store operation models. (For example: increase product distribution and new product rollouts for Class A and B stores, launch targeted promotions for Class C and D stores to enhance market competitiveness; conduct in-depth market research for Class E stores and promptly adopt new brand initiatives to respond to local market changes.)
1. Data Collection: From the store system database, filter the operational data of stores in Guangdong Province for the year 2024. The selected fields include: store ID, store name, store region, availability of value-added services, and whether the store is located in a core business district. Among these, "availability of value-added services" and "whether the store is located in a core business district" serve as auxiliary judgment indicators.
2. Data Algorithm Processing:
a. Use the SUM function and mean calculation to directly output the interval in which the "2024 average monthly infant formula store POS turnover" of the corresponding store falls. (The specific figures in the store system are company confidential, so the exported exported exported exported exported exported exported exported exported exported field is the calculated value interval for the exported data.)
b. Use the IF function to grade the store's business status based on turnover and auxiliary indicators:
- Class A Store: IF [2024 average monthly infant formula store POS turnover > 500,000 yuan AND 2 out of the two auxiliary judgment indicators are "Yes"]
- Class B Store: IF [2024 average monthly infant formula store POS turnover > 500,000 yuan AND 0 or 1 of the two auxiliary judgment indicators are "Yes"]
- Class C Store: IF [100,000 yuan < 2024 average monthly infant formula store POS turnover ≤ 500,000 yuan AND 2 out of the two auxiliary judgment indicators are "Yes"]
- Class D Store: IF [100,000 yuan < 2024 average monthly infant formula store POS turnover ≤ 500,000 yuan AND 0 or 1 of the two auxiliary judgment indicators are "Yes"]
- Class E Store: IF [2024 average monthly infant formula store POS turnover ≤ 100,000 yuan, regardless of the auxiliary judgment indicators]
(All data in the database is valid, and no records have a turnover ≤ 0)
3. Data Application: Conduct annual quantitative analysis of store operating conditions, increase product distribution and new product rollouts for Class A and B stores, launch targeted promotions for Class C and D stores to enhance market competitiveness, conduct in-depth market research for Class E stores, and promptly adopt new brand initiatives to respond to local market changes.