Big Data analytics services under the customer service system

Big data development has seen its enormous business value, and August 19, the State Council's executive meeting, through the Platform for Action on big data development, clearly points to the importance of big data openness, sharing and security. For enterprises, big data is divided into three levels: acquisition, storage, application, how to transform big data into business value is the ultimate goal of the enterprise. The Enterprise customer service system can create and realize customer value by collating and storing the information of end users, generating data analysis report and behavior analysis.

Customer service system includes customer Self-help, customer service response, customer information storage, customer problem solving and many other aspects, as the size of the enterprise growth and customer volume growth, enterprises need a can integrate various channels of system software to support its service operations, solve customer service problems. At the same time, we also need to rely on a strong database for product feedback, customer behavior analysis, to achieve accurate customer marketing and customer service.

Web 1800 The remote Service system contains product and service problem report, Sales report, Operation report, robot answer keyword report, work order report, etc., enterprises can understand each product, the operation of each single service, according to these reports to analyze customer behavior, verify error correction, improve product function, for product research and Development Department to provide effective reference.

Web1800 Remote Service System customer feedback Report, performance report complete clear statistics of each single service report, can assist the service department to easily manage the end customer service quality, to take targeted rewards and punishments, training, improve the level of enterprise Services, establish a professional, high-quality service image.

The three levels of big data, however, require companies to capture and store customer information, more on how to explore the sales opportunities behind data information, generate two sales or make potential customers into profitable customers. From this aspect, the enterprise "mining data Gold" is more meaningful than the collection and storage, the control and use of data will be the core competitiveness of enterprises, enterprises need to rise from the basic data to the data management and sales solution level. Enterprises through sales data, customer feedback data, customer tags, historical service information to understand and analyze customer preferences, consumption habits, active customer relations, and continuously improve customer satisfaction, this marketing is often more than the hard-wide and soft marketing business more practical and effective.

Web1800 remote Service systems can proactively push messages to specific community groups via messaging, automatically save customer service records, provide accurate marketing and customer service, and uncover potential sales leads.

Web1800 The remote Service system can also connect with the enterprise's own CRM database to achieve data synchronization. Through the web1800 system can be login customer identification, such as tax services business to individual accounts and business account identification. For some large and medium-sized enterprises, web1800 unique VIP channel technology for the Enterprise 20% high-quality customers to provide differentiated services, including VIP customers wait for priority management, a number of dedicated services, resource sharing download.

web1800 remote Service system to meet the enterprise in the timely acquisition of customer data collection, data security storage, data analysis using the entire service chain needs, is undoubtedly the enterprise to build customer service system, management user big Data Good helper.

Big Data analytics services under the customer service system