Project Management for CRM Database in Seabrook Warehousing Ltd

Project Management
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Introduction
Project management is based on the plan and procedures to organize, manage the
different tasks, resources. It accomplish a define primary objective with including constraints on
time or cost. In this report, it will discuss about the “Seabrook Warehousing Ltd” company in
which evaluate, launch a Customer relationship Management Database within organization. This
documentation will identify the concept of CRM projects, characteristics and role of project
management. Furthermore, it will analyse the application of framework or methodologies used
according to the project environment. However, different factors that contribute towards
effective project management and development.
Overview of organization and case study
Seabrook group provide the better customized solution and deliver to high quality of
warehouses, distribution and other logistics services to accommodate specific need or
requirement for consumers. Historically, Seabrook’s has been served the world wide beer, wine
and other kind of spirit industry for 5-years. It make as one of leader when it comes to perform
the different activities such as storage, distribution and global logistics. Seabrook warehousing
Ltd provides a first class supply chain solution and also handle any kind of logistics service
cover as wide range of enterprise model.
Define CRM database projects, characteristics and role of project manager
Seabrook warehousing company need to have consider flexible and reliable work
processes. It seeks to create scalable as well as automated enterprise process that help to manage
all kind of distribution, storage process in proper manner. Afterwards, Company has been
decided to develop or create as Customer relationship management database, which provide the
better facilities to gather relevant information of potential consumers in proper manner. By using
CRM database, it become easier for Seabrook warehousing enterprise to storage, distribute and
retrieve large data sets.
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