On July 11th and 12th, 2018, CDA data analysts conducted a talent exchange meeting with the theme of "data operation" in China Post Group Corporation. Postal Group Express Logistics, Postal Savings Bank, China Post Insurance, More than 150 employees from business departments such as China Post Securities participated in the event.

Company Introduction

China Post Group Corporation is an investment institution authorized by the State Council and undertakes the obligation to maintain and increase the value of state-owned assets. The Ministry of Finance is the state-owned assets management department of China Post Group Corporation. With the approval of the State Council, from May 1, 2015, China Post Group Corporation has changed the current two-tier legal person system of parent and subsidiary companies to the head office branch first-tier legal person system. Branch.

The main businesses operated by China Post Group Corporation: domestic and international letter delivery business; domestic and international parcel delivery business; newspaper and book publishing services; stamp distribution business; postal remittance business; confidential communication business; postal finance business; postal service Logistics business; e-commerce business; all kinds of postal agency business; other business established by the state.

brief introduction

The event is divided into two parts: Introduction to Data Management and Big Data Marketing and Practice. The teacher, Dong, is a member of the CDA Association and a senior data practitioner. He has worked at Ctrip, Hungry, Ping An Lufa, and is mainly engaged in data. Analysis and mining work. After many communications with teachers in the early stage, the principle of "business people understand and cases drive knowledge points" was determined. Focusing on cross-marketing and intelligent marketing based on big data analysis, it opened up horizons for everyone and inspired everyone to big data Times customer analysis thinking, and then promote the more effective application of CRM system. Teachers teach the theoretical knowledge of case-driven data analysis, which is simple and easy to understand. Many students expressed their praise to the teacher in the class WeChat group.

Course Outline

The first introduction to data management
1. What is data management
1.1 Four main directions
1.2 Flow chart of data management
1.3 Industry Application Show
2. The theoretical basis of data management
2.1 Knowledge graph: common problems and difficulties
2.2 Analysis method
2.3 Common models
2.4 Data display
2.5 Data project management
The second big data marketing and practice
1. Common applications of big data marketing
1.1 Efficient customer acquisition
1.2 Precision marketing
1.3 Attrition warning
1.4 Product Line Management
1.5 Customer life cycle maintenance
2. Efficient customer acquisition
2.1 Common customer acquisition indicators
2.2 Low-end customer filters: common methods for identifying "wool parties"
2.3 CRM system and new customer acquisition
3. Precision marketing
3.1 Common marketing indicators
3.2 Design and effect prediction of big data activities
3.3 The perfect path and combination of CRM customer tags
3.4 Use CRM system to conduct customer A / B test
4. Churn warning
4.1 Commonly used loss early warning indicators
4.2 Identification of customer churn incubation period
4.3 CRM system and the application of loss recovery
5. Product line management
5.1 Common product sales indicators
5.2 Analysis of customer coverage and product line competitiveness
5.3 Combined with CRM system, predict the impact of products on and off shelves business
6. Customer life cycle maintenance
6.1 The two life cycles of the customer
6.2 Application Cases of Big Data in Different Stages of Life Cycle
6.3 CRM system and customer life cycle management
7. Application example of CRM system
7.1 Case of closed-loop CRM system
7.2 "Cloud System" Case