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.

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 Big Data Analytic Framework for Organizational Leverage

2021 ◽  
Vol 11 (5) ◽  
pp. 2340
Author(s):  
Sanjay Mathrani ◽  
Xusheng Lai
Keyword(s):  
Big Data ◽  
Web Sites ◽  
Big Data Analytics ◽  
Building Blocks ◽  
Application Service ◽  
Data Application ◽  
Other Information ◽  
Big Data Application ◽  
Diverse Data ◽  
Framework System

Web data have grown exponentially to reach zettabyte scales. Mountains of data come from several online applications, such as e-commerce, social media, web and sensor-based devices, business web sites, and other information types posted by users. Big data analytics (BDA) can help to derive new insights from this huge and fast-growing data source. The core advantage of BDA technology is in its ability to mine these data and provide information on underlying trends. BDA, however, faces innate difficulty in optimizing the process and capabilities that require merging of diverse data assets to generate viable information. This paper explores the BDA process and capabilities in leveraging data via three case studies who are prime users of BDA tools. Findings emphasize four key components of the BDA process framework: system coordination, data sourcing, big data application service, and end users. Further building blocks are data security, privacy, and management that represent services for providing functionality to the four components of the BDA process across information and technology value chains.

scholarly journals Application Research of Information Technology in Environmental Protection

2019 ◽  
Vol 118 ◽  
pp. 03017
Author(s):  
Xianli Yang ◽  
Lili Ren ◽  
Ning Li
Keyword(s):  
Information Technology ◽  
Environmental Protection ◽  
Rapid Development ◽  
Application Research ◽  
Existing Problems ◽  
Benefit Evaluation ◽  
Innovation Mechanism

With the rapid development of information technology, the application of information technology in the field of environmental protection tends to be frequent, which is of great significance to environmental protection. This paper analyzes the application status and existing problems of information technology in the field of environmental protection from the aspects of monitoring, benefit evaluation and prevention, and puts forward the application of information technology in the field of environmental protection from three perspectives: constructing carrier, building platform and innovation mechanism. The path is intended to provide valuable advice to relevant researchers for reference.

Research on Database Schema Comparison of Relational Databases and Key-Value Stores

2014 ◽  
Vol 1049-1050 ◽  
pp. 1860-1863
Author(s):  
Peng Zhou ◽  
Mei Li ◽  
Jing Huang ◽  
Hua Fang
Keyword(s):  
Big Data ◽  
Relational Databases ◽  
Efficient Solution ◽  
Rapid Development ◽  
Internet Technology ◽  
Database Schema ◽  
Typical Application ◽  
Existing Problems ◽  
Management Capacity ◽  
High Scalability

With the rapid development of Internet technology, the management capacity of traditional relational databases becomes relatively inefficient when facing the access and processing of big data. As a kind of non-relational databases, the key-value stores, with its high scalability, provide an efficient solution to the problem. This article introduces the concept and features of Key-Value stores, and followed by the comparison with the traditional relational databases, and an example is illustrated to explain its typical application and finally the existing problems of Key-Value stores are summarized.

scholarly journals A Study of the Development Mode of Internet Finance in China in the Context of Big Data

2021 ◽  
Vol 275 ◽  
pp. 01045
Author(s):  
Tingting Dou ◽  
Geng Liu
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Development Mode ◽  
Continuous Development ◽  
Existing Problems ◽  
Policy Suggestions ◽  
Main Development ◽  
Internet Finance ◽  
The Relationship ◽  
Financial Technology

In recent years, with the continuous development of China’s financial technology, the relationship between Internet finance and computing information technology such as big data is getting increasingly close. Based on the existing research results, following the research ideas of finding, analyzing and solving problems, this paper studied several main development modes of Internet finance in China in the context of big data, and pointed out the existing problems, so as to put forward policy suggestions to optimize China’s Internet finance on the basis of analyzing the reasons.

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.

The Basics of Big Data and Security Concerns

Web Services ◽  
2019 ◽  
pp. 1-12
Author(s):  
Sharvari C. Tamane ◽  
Vijender K. Solanki ◽  
Madhuri S. Joshi
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Unstructured Data ◽  
Cloud Environment ◽  
Technology Infrastructure ◽  
Information Technology Infrastructure ◽  
Data Application ◽  
Big Data Application ◽  
Operational Data ◽  
Security Concern

The chapter is written on two important buildings, the basics of Big data and their security concern. The chapter is classifying in different sections. The chapter starts with the basic of big data and is concluded with security concern. The chapter is enriched with different category examples to make texts easy for author understanding. The chapter begins with the introduction of big data, their memory size followed by the examples. The chapter explains the category of big data in type of structured, semi-structured and unstructured data. The discussion on operational data service and big data application is also included to ensure the basic understanding to readers. The second portion of chapter which is based on security in big data. It's explaining the issues and challenges in big data. The section also focusing on the shift paradigm from cloud environment to big data environment changes and the problems encounter by organizations. The section discusses the framework issue and concluded with the necessity of understanding security in the big data, keeping in view of expansion of information technology infrastructure in the 21st century.

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 SISTEM INFORMASI LAYANAN DIGITAL PUSKESMAS BERBASIS ANDROID

2020 ◽  
Vol 3 (2) ◽  
pp. 215-229
Author(s):  
Hasan Basri ◽  
Dedin Toyibah ◽  
Muhamad Fakhri ◽  
Hanafi Dirgantara Musahar ◽  
Wina Wati ◽  
...  
Keyword(s):  
Public Health ◽  
Information Technology ◽  
Health Center ◽  
Rapid Development ◽  
Public Health Services ◽  
Public Health Center ◽  
The Public ◽  
Existing Problems ◽  
Number Of Patients ◽  
The World

The very rapid development of information technology has proven to play an important role in the accelerated development of information both in the world of industry, government and the world of health, so that it can support the performance of increasing the efficiency, effectiveness and productivity of all elements of society, especially in the world of health, both public and private institutions. or individually or individually, which can encourage the realization of a developed and prosperous society. The health sector is one of the important sectors of development that has the potential to be integrated with the presence of technology. Public health center Bayur Lor. Cilamaya Kulon, Karawang Regency is one of the developing health service centers. The number of patients that continues to increase every day causes new problems in the process of seeking information about patients, the number of patients, the number of visits, total income, and data on existing drug supplies. Because based on the existing problems, the Public health center Bayur Lor. Cilamaya Kulon, Karawang Regency, needs to take advantage of information technology, which can overcome the problems faced, so that public health services can be improved for the realization of the vision and mission of the Public health center Bayur Lor. Cilamaya Kulon. Looking at some of the existing problems, researchers use the waterfall method in making an information system. Applications made in this study are based on android. To facilitate the mention of this application, namely Android-based LAGILEMAS (Public health center Digital Service).  

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