Countermeasure Research On Training Management Of Account For Government And Enterpris In QZ Telecom

With the advent of the "Internet +",emerging technologies such as artificial intelligence,the Internet of Things,the cloud,and big data have brought unprecedented changes to the communications industry.The market structure of telecom operators has also expanded,and competitors have expanded from three traditional operators to a number of Internet companies such as Alibaba,Tencent and Baidu.In this situation,as a traditional communication operator,China Telecom has put forward higher standards for its employees’ professional capabilities.As for the account managers for government and enterprise in China Telecom who need to sell "Internet +" products,it is necessary to improve their capabilities through training.In the "Internet +" era,the emerging technology such as artificial intelligence,Internet of Things,cloud,big data is rapidly updated.For the account managers for government and enterprise,the key is to quickly grasp the functional usage of "Internet +" products through company training,and sort out the application scenarios of the product to realize how to sell the product.This article is based on the account managers for government and enterprise in the QZ Telecom as the research object,pointed out the company’s current deficiencies in training management,in such as Planning,Demand survey,Goal setting,Resource allocation,Course content,Training organazation,and Evaluation feedback,etc.In response to the above problems,the author proposes improvement methods through reviewing literature,interviewing staff and questionnaire surveys.The author believes that to improve QZ Telecom’s training management for the account managers can start from the following aspects:First,the training policy especially the training plans should be more flexible.Second,the training needs should be more realistic.It is necessary to increase the intensity of investigations,and combine with the development trend of the enterprise and the needs of the industry market to obtain more realistic demand data.Third,the training objectives should be set more rationally and not limited to the improvement of simple corporate performance.Fourth,resource allocation should be more precise,upgrade teaching equipment,expand teacher resources and curriculum resources.Fifth,training organizations need to introduce Internet teaching,and use mobile APP to adhere to long-term training rather than simple traditional centralized training.Sixth,the transformation of training effectiveness should receive timely attention.The training effect should not be evaluated based solely on satisfaction.It should be linked to performance,have the analysis capacity of big data,and improve the training transformation effect.