Apr07
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General information

Event type

Competition

Event format

Virtual

Start date

2021-04-07

Start time

07:00pm

Event Language

English, Mandarin

Target audience

Undergraduates, Postgraduates, Graduates, STEM major

Description

 


此通道为课题

【线上销售数据智能核对】的报名入口

This application portal is for topic

Smart Recon of Online Sales Data


【报名表填写指引】

1.可用中文或英文填写

2.每位队伍成员均需填写报名表

3.队伍命名请不要包含标点或特殊字符

4.请与各位队员确保在系统里填写的队伍名称为一致


【课题简介】

随着电子经济的快速发展,企业的线上零售业务逐渐发展壮大,每天会在各大电商平台积累海量的线上零售数据。对于企业财税人员而言,每月需花费大量的时间收集整理各大平台的线上销售数据,并按照内部财务管理流程要求,进行分类、核对。利用先进的技术,智能化的进行数据整理及核对,将大大帮助财税人员提高工作效率。


【研究目的】

提高线上零售数据整理与核对的效率,使其更加智能化,减少手工工作,并提高核对准确性。


【交付内容】

自动收集各平台的销售数据;

将不规则的数据转化为规则的格式;

自动分析销售数据的特性,对数据进行分类整理及核对


【建议具备的技能】

Python, SAS, R, Excel


Registration Guidance

1.Filling in the application form is required for each team member.

2. Please don’t include punctuation or specific symbol in your team name.

3. Please confirm with your team member that you have filled in the same team name in this application form.


Research Topic/Project

With the rapid development of the e-commerce, the online retail business of enterprises is gradually growing, and a large amount of online retail data accumulates on the major e-commerce platforms every day. Corporate tax personnel spends a lot of time to collect and organize online sales data from each platform every month, and to classify and reconcilie the data in accordance with the internal financial management. The use of advanced technology, intelligent data collation and verification, will greatly help tax personnel to improve work efficiency.


Project Aims and Objectives

Improve the efficiency of online retail data collation and reconciliation, make it more intelligent, reduce manual work, and improve the accuracy of checking.


Project Expected Deliverables

Automatic collection of sales data for each platform;

Convert unstrcutured data into the stuctured way;

Automatic analysis of the characteristics of sales data, data classification and reconciliation;


Project Required Digital Skillset

Pathon, SAS, R, Excel, etc.



【实战赛道

55日报名截止


1.   参赛受众

全球高校理工类专业同学,不限地区和年级。


2.   比赛要求

每支队伍可任选2个课题,最终将根据各课题报名情况进行筛选。

进入比赛的同学,将通过实践或调查研究提交与课题相关的作品与调研报告,比赛阶段还将接受导师专业指导,完成课题研究。


3.      组队方式

比赛不受地域限制,选择课题后可个人参赛,也可抱团参赛(不超过4个人)


4.      比赛进程

报名组队:即日起-55

课题作品提交:5月23日

结果公布:6月中旬


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