• Title/Summary/Keyword: Visualization Strategy

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e-Transformation Strategy of Data Integration Model : Long-Term Care Agency Case (데이터 통합 모델 기반 e-Transformation 전략 : 장기요양기관 사례)

  • Um, Hyemi
    • Journal of Information Technology Applications and Management
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    • v.28 no.3
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    • pp.23-30
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    • 2021
  • Korea currently provides long-term care benefits for the elderly with poor functionality, but most of the service providers are private businesses. This is the time when quality management of care services is required, which is just around the corner of the super-aged era. In this study, we would like to look at the case in which 'A company', which operates a long-term care institution, attempted to make voluntary changes ahead of social demands. The company tried to transform the social needs of quality management by judging them as opportunities, not threats, and establishing an integrated database of centers. First, the company processed data and built a cloud-based database system. Second, the company automatically linked data from existing systems for the efficiency of data utilization. Third, the company pursued visualization for the convenience of data utilization. This allowed the company to make data-driven strategic decisions internally. This is expected to increase sales as it will soon lead to securing new customers and pioneering new markets. It is also significant in that it can provide best practices for the long-term care industry.

A Study on the Design for Corporate Design in Creative Design Concept Process on Marketing Strategy Method (기업 디자인 접근방식 과정 중의 크리에티브 디자인 컨셉의 마케팅 전략과정에 관한 연구)

  • Cho, Hyun Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.3 no.4
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    • pp.131-136
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    • 2017
  • This paper examines the role of corporate design as a marketing process through a theoretical review of the development process of corporate design. Corporate design allows us to conceptualize the intangible consumer needs of a target and make possible the strategy of corporate design. This corporate design approach is to be organized like a marketing approach, so that it can produce outcomes of corporate design. The research was conducted in order to see whether the process of commercial design and its visualization help express the identity of the product, and optimize the direct and indirect experience of it. The rationality of corporate design is created by this process, and design essentially attains creativity in this process. In this research, the author tries to present design process in detail, demonstrate the basis of creative design strategy at the final stage, propose an ideal model of corporate design, where design can be performed creatively and harmoniously on the base of relevant data.

An Assessment System for Evaluating Big Data Capability Based on a Reference Model (빅데이터 역량 평가를 위한 참조모델 및 수준진단시스템 개발)

  • Cheon, Min-Kyeong;Baek, Dong-Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.2
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    • pp.54-63
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    • 2016
  • As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

An SNS and Web based BDAS design for On-Line Marketing Strategy (온라인 마케팅 전략을 위한 SNS와 Web기반 BDAS(Big data Data Analysis Scheme) 설계)

  • Jeong, Yi-Na;Lee, Byung-Kwan;Park, Seok-Gyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.1
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    • pp.141-148
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    • 2015
  • This paper proposes the BDAS(Big Data analysis Scheme) design that extracts the real time shared information from SNS and Web, analyzes the extracted data rapidly for customers, and makes an on-line marketing strategy efficiently. First, the BDAS collects the data shared in SNS and Web. Second, it provides the result of visualization by analyzing the semantics of the collected data as positive or negative. Therefore, because the BDAS ensures an average 90% accuracy in judging the semantics about the shared SNA and Web data, it can judge customer's propensity accurately and be used for on-line marketing strategy efficiently.

A Study on the Consumer's Perception of HiSeoul Fashion Show Using Big Data Analysis (빅데이터 분석을 활용한 하이서울패션쇼에 대한 소비자 인식 조사)

  • Han, Ki Hyang
    • Journal of Fashion Business
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    • v.23 no.5
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    • pp.81-95
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    • 2019
  • The purpose of this study is to research consumers' perception of the HiSeoul fashion show, which is being used by new designers as a means of promotion, and to propose a strategy for revitalizing new designer brands. This was done in order to secure basic data from fashion consumers, to help guide marketing strategies and promote rising designers. In this research, the consumers' perception of HiSeoul fashion show was verified using text-mining, data refinement and word clouding that was undertaken by TEXTOM3.0. Also, semantic network analysis, CONCOR analysis and visualization of the analysis results were performed using Ucinet 6.0 and NetDraw. "HiSeoul fashion show" was used as the keyword for text-mining and data was collected from March 1, 2018 to April 30, 2019. Using frequency analysis, TF-IDF, and N-gram, it was also shown that consumers are aware of places where shows are held, such as DDP and Igansumun. It was also revealed that consumers recognize rising designer brands, designer's names, the names of guests attending the show and the photo times. This study is meaningful in that it not only confirmed consumers' interest in new designer brands participating in the HiSeoul Fashion Show through big data but also confirmed that it is available as a marketing strategy to boost brand sales. This study suggests using HiSeoul show room to induce consumer sales, or inviting guests that match the brand image to promote them on SNS on the day the show is held for a marketing strategy.

A Study on the Future Direction of the Digital Signage Industry in Korea: A Big Data Network Analysis from 2008 to 2019

  • Yoo, Seung-Chul;Piscarac, Diana
    • International Journal of Advanced Culture Technology
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    • v.8 no.1
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    • pp.120-127
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    • 2020
  • The use of digital signage in the public and commercial communication areas has been increasing in recent years. By integrating cutting-edge information technologies such as 5G, artificial intelligence, and the Internet of Things, digital signage continues to break apart from traditional outdoor advertising media. This study identified the problems facing the domestic digital signage industry by exploring and analyzing major issues related to digital signage and derived future development measures. Specifically, online documents were collected based on the digital signage-related keywords created over the past 12 years to conduct big data network analysis, and key topics were derived through visualization of the results. This study has great policy implications in that it excluded biased interpretations based on the viewpoints of companies or the government and, more objectively, suggested the direction of the digital signage industry's development in the domestic media market.

High-Resolution Magnetic Resonance Imaging of Intracranial Vertebral Artery Dissecting Aneurysm for Planning of Endovascular Treatment

  • Chun, Dong Hyun;Kim, Sung Tae;Jeong, Young Gyun;Jeong, Hae Woong
    • Journal of Korean Neurosurgical Society
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    • v.58 no.2
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    • pp.155-158
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    • 2015
  • The equipment and techniques associated with magnetic resonance imaging (MRI) have rapidly evolved. The development of 3.0 Tesla MRI has enabled high-resolution imaging of the intracranial vessel wall. High-resolution MRI (HRMRI) can yield excellent visualization of both the arterial wall and lumen, thus facilitating the detection of the primary and secondary features of intracranial arterial dissection. In the present report, we describe the manner in which HRMRI affected our endovascular treatment planning strategy in 2 cases with unruptured intracranial vertebral artery dissection aneurysm. HRMRI provides further information about the vessel wall and the lumen of the unruptured intracranial vertebral artery dissecting aneurysm, which was treated by an endovascular approach in the 2 current cases.

Political Discourse Among Key Twitter Users: The Case Of Sejong City In South Korea

  • Hsu, Chien-leng;Park, Se Jung;Park, Han Woo
    • Journal of Contemporary Eastern Asia
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    • v.12 no.1
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    • pp.65-79
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    • 2013
  • This paper examines communication patterns of key Twitter users by considering the socially and politically controversial Sejong City issue in South Korea. The network and message data were drawn from twtkr.com. Social network-based indicators and visualization methods were used to analyze political discourse among key Twitter users over time and illustrate various types of Tweets by these users and the interconnection between these key users. In addition, the study examines general Twitter users' participation in the discussion on the issue. The results indicate that some Twitter profiles of media outlets tend to be very dominant in terms of their message output, whereas their Tweets are not likely to be circulated by other users. Noteworthy is that Twitter profiles of individuals who are geographically affiliated with the issue are likely to play an important role in the flow of communication.

Digital Manufacturing Strategy & Case study of Automotive General Assembly (자동차 조립 라인의 디지털 생산 구축 사례연구)

  • Choi M.W.;Han S.T.;Seo J.H.;Woo J.H.;Lee C.J.;Choi Y.R.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.3
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    • pp.199-209
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    • 2005
  • In this paper, a digital simulation model for an automotive assembly line is constructed by adapting a digital manufacturing methodology. Applied methodology is a simulation for a plant level of the assembly production line. The first significance of this methodology is a validation of the production planning based on various scenarios. The second is pre-verification for the new production plan or production method. The third is a visualization of the production process. Several models were implemented and those models were verified. Then, it was possible to find a most efficient production scenario and production method.

Analysis of optimal solutions and its tiling in $m{\times}n$ size Black-Out Game ($m{\times}n$ 크기의 일반적인 흑백 게임의 최적해와 타일링)

  • Kim, Duk-Sun;Lee, Sang-Gu
    • Communications of Mathematical Education
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    • v.21 no.4
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    • pp.597-612
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    • 2007
  • For finding the optimal strategy in Blackout game which was introduced in the homepage of popular movie "Beautiful mind", we have developed and generalized a mathematical proof and an algorithm with a couple of softwares. It did require only the concept of basis and knowledge of basic linear algebra. Mathematical modeling and analysis were given for the square matrix case in(Lee,2004) and we now generalize it to a generalized $m{\times}n$ Blackout game. New proof and algorithm will be given with a visualization.

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