Information Acquisition Framework Based On Big Data Tools In M&a

This paper from the M&A sponsors combined with years of investment experience of M&A by analyzing the current situation of the development of domestic and foreign investment in M&A,due diligence at all stages of basic business processes,and big data technology development,etc.,combined with the practical work of cases,to explore a set of big data technology in the due diligence information acquisition and application of innovative methods of work,better to provide information services for mergers and acquisitions investment decision,to solve the disadvantages of previous investment and M&A,due diligence,improve the accuracy of the information acquisition,comprehensiveness,timeliness,and all the staff work efficiency.As a new information analysis method,big data tools are gradually penetrating into all aspects of e M&A.Through the application of big data in various fields,from the corresponding reference case,can work out the corresponding data using the method,which can greatly improve the efficiency of the due diligence work.At the same time,more accurate and comprehensive access to the real information of the enterprise M&A to cover both sides of the asymmetric information problem,objective basis for enterprise M&A decision,make enterprise investment M&A behavior more accurate and scientific.The main contributions and innovations are in the integration of economic management and information technology.The problems and demands in economic management such as M&A investment and financial analysis will be solved by using big data,information management and other information technologies.1.The shortcomings of conventional methods in M&A in the M&A process.2.The logical model of big data survey and analysis is established,and the main data sources are sorted out.3.The framework of information data acquisition and big data acquisition method are established.4.The principles and standards of relevant information data analysis are established in the paper.5.The feasibility and advantages of the method are verified by a practical case.