Research on marketing management system based on independent ERP and business BI using fuzzy TOPSIS

2021 ◽  
pp. 1-9
Author(s):  
Zou Tao ◽  
Bai Si Jun ◽  
Rong Xi Bai
Keyword(s):  
Big Data ◽  
Management System ◽  
Information Technologies ◽  
Rapid Development ◽  
Fuzzy Topsis ◽  
Marketing Management ◽  
Enterprise Management ◽  
Business Law ◽  
Other Information ◽  
Market Opportunities

The rapid development of cloud computing, big data, AI, BI and other information technologies has accelerated the process of enterprise modernization and informatization. The combination of computer technology and management science promoted the formation of modern enterprise management technology. Especially in today’s era of big data, in the face of massive data, how to quickly and accurately find out the required information, analyze the memory relation of data, find out the inherent business law hidden under massive information, and provide an important reference for enterprises to make business decisions and seek for market opportunities. A methodology that exhibits fuzzy TOPSIS model has been incorporated in this study. Fuzzy weights and fuzzy judgment about the management systems have employed to estimate the scores of evaluation. In order to solve this problem, this paper integrates independent ERP and BI, and studies and develops a marketing management system by using advanced technologies such as data warehouse, online analysis and data mining; The system extracts useful data from ERP data sources, and analyzes the internal rules and statistical results that can be used to guide the enterprise’s actions, so as to effectively improve the enterprise’s competitiveness.

scholarly journals APPLICATION OF BIG DATA IN ENTERPRISE MANAGEMENT

2021 ◽  
Author(s):  
FENG GUO ◽  
HUI-LIN QIN
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Rapid Development ◽  
Enterprise Management ◽  
Complex Data ◽  
Real Economy ◽  
Existing Problems ◽  
Other Information ◽  
Big Data Application ◽  
Deep Integration

With the continuous development of information technology, enterprises have gradually entered the era of big data. How to analyze the complex data and find out the useful information to promote the development of enterprises is becoming more and more important in the modernization of science and technology. This paper expounds the importance and existing problems of big data application in enterprise management, and briefly analyzes and discusses its application in enterprises and its future development direction and trend. With the rapid development of Internet of things, cloud computing and other information technology, the world ushered in the era of big data. It has become a trend to promote the deep integration of Internet, big data, artificial intelligence and real economy. Due to the rapid development of economy, the amount of data information generated in the process of consumption and production is very large. Under the traditional management mode, enterprises can not meet the needs of the current social and economic development. However, the application of big data technology in enterprises can achieve better analysis and Research on these data information, so as to provide reliable data basis for enterprises to carry out various business management decisions.

Big data audit based on financial sharing service model

2020 ◽  
Vol 39 (6) ◽  
pp. 8997-9005
Author(s):  
Linghan Li ◽  
Yan Feng ◽  
Lei Li
Keyword(s):  
Big Data ◽  
Information Technologies ◽  
Enterprise Management ◽  
Service Model ◽  
Audit Process ◽  
Continuous Development ◽  
Other Information ◽  
Service Mode ◽  
The Government ◽  
Data Audit

As the COVID-19 epidemic continues to spread, the government has managed to prevent people from gathering. The audit work can only be carried out through the network, which puts forward higher requirements for the accuracy and effectiveness of the audit work. Under the background of the continuous development of big data and other information technologies, big data audit has gained important technical support and played an increasingly important role. Units at all levels gradually attach importance to the enterprise management mode based on the financial sharing service mode. This paper analyzes the related problems of big data audit under the financial sharing service mode, involving big data flow, big data preprocessing, big data audit process and other issues, in order to provide useful reference for the implementation of big data audit by using the financial sharing service mode under the influence of COVID-19.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals Improving the Efficiency of an Industrial Enterprise Due to the Architectural Approach to a Complex Information Management System

2020 ◽  
Vol 11 (3) ◽  
pp. 311
Author(s):  
Arevshad A. Vartanyan
Keyword(s):  
Management System ◽  
Information Technologies ◽  
Information Management System ◽  
Industrial Enterprise ◽  
Enterprise Management ◽  
Necessary Condition ◽  
Special Role ◽  
Industrial Enterprises ◽  
Complex Information

The use of modern technological and managerial solutions is becoming a necessary condition to increase the efficiency of industrial enterprises' production activities. The quantity and quality of their products depend fundamentally on the management system, employees' competencies, as well as their material and technical base, in which a special role belongs to information technologies (IT) that automate production processes and projects. Construction and use of complex information systems of industrial enterprise management, based on the architectural approach and the methodology of the architecture of IT will allow effectively competing in the rapidly changing market in the era of the digital economy. It minimizes the number of employees in operating and support units, and significantly increasing labor productivity, quantity, and quality of created products and services.

Research on the Marketing Management System Based on ASP.NET Technology

2014 ◽  
Vol 687-691 ◽  
pp. 2387-2390
Author(s):  
Juan Li
Keyword(s):  
Computer Technology ◽  
National Economy ◽  
Service Provider ◽  
Management System ◽  
Rapid Development ◽  
Business Management ◽  
Decisive Role ◽  
Marketing Management

The rapid development of computer technology and the popularization of the progress of each trade have promoted the development of e-government. Business management system is the establishment and development of the national economy important players, managers and a service provider, which plays a role in information and a decisive role. In this paper, it first introduces the Definition and Characteristics of ASP NET, and then it talks about the problems of marketing management, finally it puts forward some suggestions for the establishment of Asp.net marketing management system.

scholarly journals Analysis on Innovation Countermeasures of Human Resource Performance Management of Pesticide Enterprises in the Era of Big Data

2020 ◽  
Vol 9 (7) ◽  
pp. 210
Author(s):  
Changzhi Li ◽  
Zhongcheng Pan ◽  
Jing Weng ◽  
Pumin Li
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Human Resource Management ◽  
Performance Management ◽  
Human Resource ◽  
Technological Development ◽  
Rapid Development ◽  
Enterprise Management ◽  
Digital Era ◽  
Big Data Technologies

In today’s rapid development of network technology, big data has been more and more applied. In the information and digital era, technological development is constantly promoting the reform and progress of the industry. In enterprise management, more and more big data technologies and concepts are applied. In terms of the application of big data in human resource management performance, the relevant technology is applied to human resource performance management has brought a new mode, which plays a prominent role in improving the efficiency of human resource performance management. However, there are still some problems in practical application. This paper, taking pesticide enterprises as an example, studies the problems and countermeasures of human resource management in such enterprises in the era of big data, so as to provide some ideas for guiding relevant enterprises to make good use of big data in human resource performance management.

scholarly journals MARKETING MANAGEMENT OF BUSINESS PROCESSES OF WHOLESALE TRADE ENTERPRISES

2021 ◽  
Author(s):  
Mariia Bahorka ◽  
Nataliy Yurchenko
Keyword(s):  
Management System ◽  
Business Processes ◽  
Storage Conditions ◽  
Marketing Management ◽  
Enterprise Management ◽  
Marketing Concept ◽  
Wholesale Trade ◽  
Sound System ◽  
Management Concept ◽  
Enterprise Management System

It is established that the transformation of the economy on the way to market relations forces to move to the creation of a new marketing management system of wholesale trade, which today is a lever to stimulate domestic production, in conditions of economic instability and changing customer tastes, intensification of competitors, price fluctuations, demand, business activity in the market. We have identified the need to find modern approaches to managing the business processes of wholesale enterprises, which requires the formation of a holistic, scientifically sound system of organization and an effective enterprise management system. Such a system should be a marketing management concept that would be aimed at meeting the needs and demands of the market, would adequately respond to changes in the internal and external environment, would increase the profitability of sales activities. The marketing concept of management differs from production and marketing flexibility, elasticity, efficiency and sensitivity to market changes, greater adaptability to various innovations. The marketing concept of wholesale trade management is directly correlated with business processes and is related to operations to study consumer demand, the needs of suppliers and buyers, the provision of wholesale services and the development of rational ways of moving goods. Commercial, logistics, production and financial business operations are modeled and implemented through a marketing management system, combining the needs of suppliers, customers and providing in their unity more rational ways to promote goods than in the case of their separate organization. Marketing management should combine and harmonize the main business processes of the wholesale company, the result of which is: for the manufacturer the best conditions of purchase; guarantee and prospects of sales channels; placing products on the market; transportation conditions; storage conditions, motivation of employees. Management decisions are presented, the adoption of which will help to combine and harmonize the main business processes of wholesale trade enterprises and ensure their more rapid adaptation to the market environment.

INFORMATION TECHNOLOGIES OF THE MANAGEMENT SYSTEM OF THE TRANSPORT INDUSTRY OF THE REGION

2019 ◽  
Vol 4 (4) ◽  
pp. 314-319
Author(s):  
Svetlana MASHKANTSEVA
Keyword(s):  
Information Technology ◽  
Management System ◽  
Information Technologies ◽  
Information Management System ◽  
Enterprise Management ◽  
Management Information ◽  
Customer Base ◽  
Transport Industry ◽  
Modern Information ◽  
Transport Management

One of the defining directions of the enterprise logistics system in the transport industry in the region is the organization of its activities, which requires the introduction of new progressive ideas in the enterprise management system. It is advisable to design, implement, apply and develop modern information technologies for the practical implementation of complex theoretical approaches to the transport enterprises management in the region. The purpose of the article is to study the process of information technologies implementation in the management system of the transport industry in the region to create a qualitatively new information environment for the provision of transport services. The current state of transportation companies does not meet the growing needs of society and European quality standards, which requires the creation and implementation of an effective integrated automated management system. The content of each stage of the complex automated system creation of enterprise management in the transport branch is revealed. The project of construction of the management information system, its adjustment and necessary adaptation is being prepared in the course of the stages. The functioning of Qguar TMS (Transport Management System) is considered and its advantages are highlighted. It’s defined that the information management system of a transport enterprise is an interaction of management information, subjects of management activity and information technologies. Formation of a complex system of automation of management of entities of the transport industry is one of the existing directions of use of modern information technologies. The implementation results of the selected management information technology at Qguar TMS (Transport Management System) are evaluated in two directions: the first involves an assessment of the financial and economic performance and effectiveness of an investment project for the implementation of management information technology; the second direction is related to the analysis of changes in indicators that characterize the implementation of client-oriented enterprise development strategy: increase of the customer base, market share, regular customers in the total customer base. Keywords: information technologies; management system; transport industry; region; computerization; logistics systems.

The data warehouse for primary geological and geophysical data: an aspect of creation

2020 ◽  
Vol 1 (4) ◽  
pp. 45-49
Author(s):  
Oleg Zurian ◽  
O. Likhosherstov
Keyword(s):  
Big Data ◽  
Data Warehouse ◽  
High Speed ◽  
Information Technologies ◽  
Rapid Development ◽  
Geophysical Data ◽  
Digital Data ◽  
Geological Data ◽  
Big Data Technologies ◽  
Geological Prospect

The geological industry of Ukraine as a whole is sufficiently conservative. However, the development of world scientific thought and the improvement of the mineral extraction technologies require a rethinking of primary geological data (PGD). During the Soviet times, there was a rapid development of geological prospecting activities with creation and accumulation of PGD’s large volumes. Reinterpretation and rethinking of this information using the latest techniques, approaches and technologies is an important issue. An important aspect is to save this information, because large number of PGD remains on paper. The only way to facilitate the circulation of PGD and ensure their proper storage is to create a centralized digital data warehouse using the latest information technologies for storing, processing and analyzing data. Such actions should ensure the rapid retrieval and analysis of PGD, facilitate the planning of geological prospect and ensure overall performance, including economic efficiency. The article discusses aspects of data warehouse creating for primary geological and geophysical data. The infrastructure, architecture and creating stages of the data warehouse for primary geological data are highlighted. The authors are examined the technological approaches, stages of work on the data warehouse creation. Modern technologies, including technologies associated with Big Data, are considered as those that should be oriented to performers of work. Primary geological data is partially structured or unstructured, and its volumes are constantly growing with high speed. The introduction of modern Big Data technologies will allow creating flexible powerful systems that must ensure horizontal scaling of the system in terms of computing power and storage size, and carry out operational primary processing and analysis of the data, that the user needs.

scholarly journals BiGeo: A Foundational PaaS Framework for Efficient Storage, Visualization, Management, Analysis, Service, and Migration of Geospatial Big Data—A Case Study of Sichuan Province, China

2019 ◽  
Vol 8 (10) ◽  
pp. 449
Author(s):  
Xi Liu ◽  
Lina Hao ◽  
Wunian Yang
Keyword(s):  
Big Data ◽  
Spatial Data ◽  
Information Technologies ◽  
Earth Science ◽  
Rapid Development ◽  
Geographic Information ◽  
Sichuan Province ◽  
Geographic Information Technologies ◽  
Information Research ◽  
Big Data Technologies

With the rapid development of big data, numerous industries have turned their focus from information research and construction to big data technologies. Earth science and geographic information systems industries are highly information-intensive, and thus there is an urgent need to study and integrate big data technologies to improve their level of information. However, there is a large gap between existing big data and traditional geographic information technologies. Owing to certain characteristics, it is difficult to quickly and easily apply big data to geographic information technologies. Through the research, development, and application practices achieved in recent years, we have gradually developed a common geospatial big data solution. Based on the formation of a set of geospatial big data frameworks, a complete geospatial big data platform system called BiGeo was developed. Through the management and analysis of massive amounts of spatial data from Sichuan Province, China, the basic framework of this platform can be better utilized to meet our needs. This paper summarizes the design, implementation, and experimental experience of BiGeo, which provides a new type of solution to the research and construction of geospatial big data.

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