“One to One CRM" and the synergy is an inevitable trend in ERP
"One to one" customer relationship management model in networking, integration and customer information analysis and so began to demand more and more, in order to improve customer access capabilities and customer responsiveness, the massive, decentralized customer convert raw data analytical data, from mining analyze customer knowledge, which established customer strategy to enhance customer satisfaction, needs and a collaborative enterprise resource planning ERP.
"One to one" customer relationship management and the need for synergy ERP
"One to one" customer relationship management is a direct customer-facing, focusing on business customers to explore and use resources effectively, mainly to solve the individual needs of customers and marketing to meet the business management issues; while ERP is the enterprise in order to adapt to market changes integrating all the internal and external resources, the use of information technology to build up the supply chain-oriented management tool. ERP use of information technology to enable enterprises to share a large number of basic data, using information instead of inventory, to minimize inventory costs and risks, improve corporate decision-making speed and accuracy, its emphasis on corporate business activities in various sectors should be based on enterprise resource and cost-optimized configuration, so as to achieve internal production of the best. From the concept of supply chain management point of view, both in terms of all enterprises are very important and indispensable.
"One to one" customer relationship management and ER dead synergy is necessary. Such as customer information, in order to maintain data consistency between the two systems when one of the operation of the system after the data update, while a system's data must also be updated, otherwise the two systems on the same customer information have a difference, but also to ensure that the timeliness of the implementation of the two systems, but only automatic identification technology to achieve synergy between the two non-differentiation. The application process, "one to one" customer relationship management focused on marketing, sales and other links, while the ERP focuses on the production and manufacturing sectors. As an operating entity, the operation of enterprises must be closely interlinked. Therefore, the "one to one" customer relationship management and ERP collaboration will become the focus of enterprise information applications. In enterprise production and management, ERP and the "one to one" customer relationship management, mutual penetration, mutual support, and long-term strategy around enterprise customer information management and business process management synergies. Through the synergy between the two, the relevant customer information can be immediately transmitted to the ERP, the ERP in the receive client information has been treated after being fed back to the front customer interface, the formation of smooth flow of information channels for enterprises to efficient use of internal and external resources, the formation of a more a large market competitiveness has provided a guarantee.
"One to one" customer relationship management and ERP feasibility of collaboration
The application of automatic identification technology, as "one to one" customer relationship management and ERP work together to provide feasibility. Automatic Identification (Auto-ID) technology is based on computer technology and communication technology based on a comprehensive science and technology, is a data coding, data collection, data identification, data management, standardization of data transmission means. Automatic Identification Technology according to the characteristics of the object recognition can be divided into two categories, namely, data collection techniques and feature extraction techniques. These two types of automatic identification technology is the completion of the basic functions of automatic identification and data items of the automatic acquisition. The basic features of data collection technique is the need to be identified with a specific object recognition feature vectors (such as labels, etc.), while the feature extraction technique to be identified according to the behavioral characteristics of the object itself (including static and dynamic characteristics and attributes) to complete the Automatic collection of data.
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