Overview of Courier and Delivery Industry
Table of Content
Executive Summary 1
Introduction 2
Overview of Courier and Delivery Industry 2
Review of Data Mining 4
Review of Customer Relationship Management 4
Data Mining and Customer Relationship Management (CRM) 5
Challenges of Courier industry 5
CRM Strategy of Courier Industry 7
Customer value approach of Courier Industry 8
Tools, Techniques and Application of Data mining 9
Current Process of Data mining Implemented by Courier Service Organizations 12
Data Mining using Clustering Technique 14
Further Analysis with Tree Map & Industry Attributes 18
Data Mining Application on CRM and its Impact on the Industry 21
Case Studies 23
Conclusion: 25
References: 26
Executive Summary
The importance of data mining and its CRM concentration in our day to day life cannot be over emphasized, as it has changed the way many organizations and industries operate and has become increasingly available to a wider marker. This report focuses on Data Mining and its application to CRM in the Courier and Delivery Services Industry.
The passive diffusion of information technology has revolutionized the way of doing business. The Courier and Delivery Services Industry now have in their possession huge amount of data. This report answers how players in this industry use this data to make positive managerial decision in the management of lifelong customer relationship. Firstly, we had given brief history of courier industry and a look at the major evolution of technology in the courier industry.
In the challenges sides of courier industry, in this part we have highlighted some of the major challenges such as cross border, speed, in-time, security, tracking of parcel etc. of the courier and delivery service industry that are being offered by them to their customers and what challenges they are facing to deliver or maintain these feature in their service. What challenges they are facing to provide additional value added service to their customers.
Moreover, we
Executive Summary 1
Introduction 2
Overview of Courier and Delivery Industry 2
Review of Data Mining 4
Review of Customer Relationship Management 4
Data Mining and Customer Relationship Management (CRM) 5
Challenges of Courier industry 5
CRM Strategy of Courier Industry 7
Customer value approach of Courier Industry 8
Tools, Techniques and Application of Data mining 9
Current Process of Data mining Implemented by Courier Service Organizations 12
Data Mining using Clustering Technique 14
Further Analysis with Tree Map & Industry Attributes 18
Data Mining Application on CRM and its Impact on the Industry 21
Case Studies 23
Conclusion: 25
References: 26
Executive Summary
The importance of data mining and its CRM concentration in our day to day life cannot be over emphasized, as it has changed the way many organizations and industries operate and has become increasingly available to a wider marker. This report focuses on Data Mining and its application to CRM in the Courier and Delivery Services Industry.
The passive diffusion of information technology has revolutionized the way of doing business. The Courier and Delivery Services Industry now have in their possession huge amount of data. This report answers how players in this industry use this data to make positive managerial decision in the management of lifelong customer relationship. Firstly, we had given brief history of courier industry and a look at the major evolution of technology in the courier industry.
In the challenges sides of courier industry, in this part we have highlighted some of the major challenges such as cross border, speed, in-time, security, tracking of parcel etc. of the courier and delivery service industry that are being offered by them to their customers and what challenges they are facing to deliver or maintain these feature in their service. What challenges they are facing to provide additional value added service to their customers.
Moreover, we
References: [1] Data Mining and Its Impact on Business, by Adriana Noton, Submitted On June 22, 2010.