RETRACTED ARTICLE: Interactive IoT Data Visualization for Decision Making in Business Intelligence

Zhang, Youmin; Vinodhini, B.; Maragatham, T.

doi:10.1007/s13369-021-05889-w

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…In the age of DT (Data Technology), decision-making using the analysis of Data volumes can increase the effectiveness of the results. In the process of analyzing data content, deep learning and knowledge computing are its foundation, visualization is its key technology; in addition, visualization is also the key technology of presenting data analysis results [19]. In the background of big data, Business Intelligence has multi-disciplinary crossattributes, in the actual application of cross, complexity, novel, flexible and configurable [20][21][22][23][24].…”

Section: Business Intelligence and Big Datamentioning

confidence: 99%

Evolution of Business Intelligence: An Analysis from the Perspective of Social Network

Yin

Li*

2022

Teh. vjesn.

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Based on CiteSpace, Pajek and other software, this paper makes a visual analysis of the knowledge graph of the related literature of Business Intelligence and explores the future development trend of business intelligence. Taking the core periodicals of CNKI as the data source, key words are drawn and analyzed with the help of software. The total number of articles was 2938 from 2006 to 2020, and the number of articles published in the past 15 years was gradually levelled off. Among the 607 researchers, Yang Bingru is the representative; there are 424 journals, Journal of Information is the first, and 787 keywords are the most frequently used data mining. Our country still needs in-depth research in the field of business intelligence. Through the atlas, it directly shows that big data and machine learning are the frontier hot spots of future development, which provides research direction for researchers.

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Section: Business Intelligence and Big Datamentioning

confidence: 99%

Evolution of Business Intelligence: An Analysis from the Perspective of Social Network

Yin

Li*

2022

Teh. vjesn.

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“…e business overview is mainly to analyze the whole system operation, giving a visual chart of the overall sales volume and overall profitability of the system [25][26][27]. You can also view the operation of the entire Tmall apparel e-commerce system in the past month or three months.…”

Section: Overview Of the Business Big Picturementioning

confidence: 99%

Construction of E-Commerce Economic Management Platform Based on Data Visualization Technology

Meng

2022

Mathematical Problems in Engineering

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In the age of information explosion, users are exposed to overwhelmingly visual information every day. The raw unprocessed data are not attractive enough to the human brain. Thankfully, humans are extremely sensitive to graphic image perception and can understand the meaning behind numbers from graphic images. For this reason, data visualization is becoming the best way to communicate with people. In the context of big data, how to display complex data efficiently, what kind of drawing technology to use, and how to improve user interaction with data are urgent problems to be solved by data visualization technology. On the other hand, researchers’ understanding of data visualization is not consistent; there is no clear standard; and it is relatively confusing. Researchers engaged in data visualization and executives engaged in related data visualization industries have different interpretations of it, and the core theoretical basis and research methods are still in the exploration stage. Firstly, I systematically introduce the design principles of data visualization, software development related technologies, data visualization research methods, basic charts, and characteristics of data visualization. Secondly, based on the software development process, I analyzed the key issues of data visualization for the e-commerce system, gave the objectives of the design plan, and designed the whole architecture and development framework of the project. In particular, I designed the class diagram and timing diagram of the control layer, service layer, and data access layer for the visualization of user purchase preferences in the data visualization and analysis module as an example. Then, with the structure and characteristics of the data in the visualization studied, the business logic layer and the front-end visualization layer are implemented, and a good user interaction function is provided for the users. The data visualization is loaded asynchronously and on demand to improve the performance of data visualization and user interaction experience. Finally, the system data is presented with the analysis of the user population’s region, the analysis of user preferences, and the analysis of the product price sales relationship, and the product category tree diagram and the results of the data visualization run are given, providing a comprehensive platform for shopping, data analysis, and data visualization for the next generation e-commerce system.

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“…Las visualizaciones de datos ayudan a los profesionales a ver los datos desde más de una dimensión y les ayudan a tomar decisiones informadas. Por lo tanto, la visualización de datos en gráficos es una forma fácil y conveniente de comprender la postura [12].…”

Section: B Visualización De Datosunclassified

Comparativa entre Business Intelligence y Data Mining

Vera Cervantes,

Sayago-Heredia

2022

tecnica

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Vivimos en la sociedad de la información. Gracias a Internet y al desarrollo de los sistemas de información en las empresas, sus directivos pueden acceder a mucha más información, de más calidad y con mayor rapidez. Cada vez es más importante saber qué está pasando en nuestro mercado y en nuestras propias organizaciones. El tiempo de que disponemos para acceder a esa información es cada vez menor; consecuentemente, necesitamos obtener la información más rápidamente para analizarla y tomar decisiones a partir de ella, El objetivo principal de esta investigación es describir y comparar las principales técnicas, herramientas y características de Business Intelligence y Data mining. El resultado de la comparativa permite realizar una mejor elección de la tecnología más adecuada, en función de los datos a ser extraídos y requisitos de la organización.

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RETRACTED ARTICLE: Interactive IoT Data Visualization for Decision Making in Business Intelligence

Cited by 6 publications

References 23 publications

Evolution of Business Intelligence: An Analysis from the Perspective of Social Network

Evolution of Business Intelligence: An Analysis from the Perspective of Social Network

Construction of E-Commerce Economic Management Platform Based on Data Visualization Technology

Comparativa entre Business Intelligence y Data Mining

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