Study On FMCG Data Analysis And Application Of Company D

As the storage cost of information is lower and lower, people demand more and more collection, from the important, single data to the all, multidimensional data. With the development of mass data processing, the analysis is from the sampling model of finance to the total amount model. In the FMCG, D company serves to the big brands, so it produces a large number of business data every day, include first-hand executive management data and part of first-hand of the sales data in the offline service,but low data using in company D restricted the improvement, customers and D company want to get the useful information from the data.This thesis is based on the concerned of data analysis and its derivatives in the data to find the value of the idea, use effective technology and calculation method, such as building the system to standard the data input and output, building a data warehouse, using classification, association mining algorithm, Chinese text processing tools to analyze the FMCG’s data of D company, from project execution and user behavior angles to find and extract the hidden value of data.The main target of this thesis is how to make the data application for the FMCG. Firstly, through the analysis of internal operation and maintenance data, from the requirements of different projects, different dimensions to explore the regularities, so that managers can see the line of implementation and resources of the ROI, so as to better optimize the implementation of the team and maintain good customer relations. Secondly, through analysis of user involvement in the sales process to generate the purchase and dissemination of information, to find the value of the sales data, to provide the basis for user marketing. Through data analysis and application, D company to cut down the management time of the project staff more than 50% per day, to reduce the cost of consumer promotions half, the result is accurate and effective.