• Title/Summary/Keyword: CRM Data

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A Study on the Factors Affecting the Customer Equity Value Management and CRM Capability (CRM 성과에 영향을 미치는 요인에 관한 실증적 연구 : '고객자산가치관리역량' 매개효과 중심으로)

  • Cho, Mun-Je;Chung, Yoon
    • Asia pacific journal of information systems
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    • v.16 no.4
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    • pp.71-101
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    • 2006
  • Modern companies have heavily invested in developing CRM systems without explicitly knowing how the systems improve customer relationship management. Many researchers have attempted to find the factors that contribute to the success of CRM systems. However, most research have investigated the direct relationships between CRM success factors and system success without explaining how the factors contribute to the system success. It seems to be logical to think that success factors enhance the customer equity value management (CEVM) capability of the firms and then these capabilities are the foundation for the success of systems. In this study, we developed a CRM success model that includes CEVM capability as a mediating variable. The research followed the following steps: (1) CRM success factors that have theoretical relationship with CEVM capability are identified and categorized, (2) the theoretical relationship between CEVM capability and CRM performance is established in the perspective of strategic CRM, and (3) the research model is tested with the survey data collected from Korean firms.

A Study on the Efficent Propulsion of Customer Relationship Management System for Library (도서관 CRM 시스템의 효율적 추진에 관한 연구)

  • You Yang-Keun
    • Journal of Korean Library and Information Science Society
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    • v.35 no.3
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    • pp.251-270
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    • 2004
  • The purpose of this study is to introduce a customer relationship management(CRM) for more user satisfied information in through the relationship between an user-centered library management and library customers. The characteristics of library customer information needs and a general CRM system design are introduced. The result shows a plan for library CRM system. It is included a conceptual modeling design for the CRM system, a data dictionary, and event class.

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Real-time CRM Strategy of Big Data and Smart Offering System: KB Kookmin Card Case (KB국민카드의 빅데이터를 활용한 실시간 CRM 전략: 스마트 오퍼링 시스템)

  • Choi, Jaewon;Sohn, Bongjin;Lim, Hyuna
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.1-23
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    • 2019
  • Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.

The Development of Design Knowledge Management System Using Data Mining (Data Mining 기법을 활용한 디자인 지식경영 시스템 구축)

  • 양종열;오민권;최경은
    • Archives of design research
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    • v.16 no.2
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    • pp.281-290
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    • 2003
  • In the knowledge and information-based age of today, it would be fair to say that the compatibility of each person, enterprise, and nation can be evaluated by how each of them manages and maintains the knowledge created from data and information. Since the importance and necessity of knowledge management has been acknowledged, there have been studies to create, apply, and evaluate the knowledge concerning design. Previous studies done on this subject can be divided into three main categories - CRM, online statistical research, and eCRM - according to the materials used to create knowledge. These studies are meaningful in that they can create knowledge in their respective fields, although they are somewhat inadequate because the designers can't create as much knowledge as can be applied in business; design-related consumers demand composite knowledge integrating the characteristics of all three fields. In other words, they want to know the ordinary customers'preferences in the previous off-line market in the CRM field, the research results of statistical questionnaires to the various elements of design in statistical research fields, and even the pattern of preference and consumption of many and unspecified persons transcending the time and place in eCRU field. This study proposes to solve the problem related with web-based design knowledge maintenance through the synthetic application of CRM, Statistical Research, and eCRM The information proposed in the solution can De expected to help designers working at design-related enterprises, as well as research institutes, to develop the knowledge necessary to design more consumer-oriented products.

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gCRM and Spatial Data Mining (gCRM과 공간데이타마이닝)

  • Hwang, Jung-Rae;Li, Ki-Joune
    • 한국공간정보시스템학회:학술대회논문집
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    • 2002.03a
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    • pp.38-44
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    • 2002
  • 고객관계관리(CRM)나 마케팅과 같은 경영방식에서도 대용량의 공간 데이터베이스를 사용하는 지리정보시스템(GIS)과 같은 응용분야를 접목하고 있다. gCRM은 지리정보시스템과 고객관계관리를 결합한 것으로, 이러한 실정을 단적으로 보여 주고 있는 경영방식이다. gCRM은 대용량의 데이터베이스로부터 관심 있는 분야를 찾아내고 분석하게 된다. 그러기 위해서는 데이터마이닝이라는 기술이 필요하다. 하지만, gCRM은 일반적인 데이터베이스뿐만 아니라 공간 데이터베이스 역시 많이 사용되어진다. 이러한 공간데이터베이스로부터 관심 있는 부분이나 관계 그리고 특성 등을 찾아내기 위해서는 공간데이타마이닝이 요구된다. 본 논문에서는 gCRM 솔루션들의 기능을 중심으로 다양한 공간데이타마이닝 기법과 어떠한 관계가 있는지를 살펴봄으로써 gCRM과 공간데이타마이닝이 접목할 수 있는 부분에 대하여 정리하였다.

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Data Quality Management: Operators and a Matching Algorithm with a CRM Example (데이터 품질 관리 : CRM을 사례로 연산자와 매칭기법 중심)

  • 심준호
    • The Journal of Society for e-Business Studies
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    • v.8 no.3
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    • pp.117-130
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    • 2003
  • It is not unusual to observe that there Is a great amount of redundant or inconsistent data even within an e-business system such as CRM(Customer Relationship Management) system. This problem becomes aggravate when we construct a system of which information are gathered from different sources. Data quality management is indeed needed to avoid any possible redundant or inconsistent data in such information system. A data quality process, in general, consists of three phases: data cleaning (scrubbing), matching, and integration phase. In this paper, we introduce and categorize data quality operators for each phase. Then, we describe our distance function used in the matching phase, and present a matching algorithm PRIMAL (a PRactical Matching Algorithm). And finally, we present a related work and future research.

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Medical CRM Frame Design for Medical Institution (의료기관 전문 의료용 CRM 프레임 설계)

  • Kim, Gui-Jung
    • The Journal of the Korea Contents Association
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    • v.8 no.12
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    • pp.20-27
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    • 2008
  • Hospitals today use independent systems for each department and job such as Hospital Information Sytem(HIS), Picture Archiving Communications System(PACS), Ordering Communication System(OCS), Electronic Medical Record(EMR), Enterprise Resource Planning(ERP), etc and each system employs its own DB. So, it is impossible to integrate information within the institution and difficult to keep transparency and consistency of data. I in this study offered a data integration environment through flexible management linked with other systems, and by doing that, designed a medical CRM frame which offers the optimum service the customer wants at the optimum time. I designed 4 of medical CRM frame: customer relationship management, public relations/marketing, service management, and statistics/analysis by the customer relationship management process standardization and aimed to offer tailored mobile contents according to customer's characters and health situation on the basis of customer's data by securing mobile medical contents for personalized medical information service.

eCRM(electronic Customer Relationship Management) 시스템에서의 데이터 분석

  • 안정용;김석기;한경수
    • Proceedings of the Korean Statistical Society Conference
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    • 2000.11a
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    • pp.129-134
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    • 2000
  • CRM(Customer Relationship Management)은 데이터를 수집하고, 적절한 분석 단계를 통하여 정보를 제공할 수 있는 데이터 통합(수집, 관리, 분석, 서비스) 시스템 구축을 통한 고객관계관리를 의미한다. 본 연구에서는 eCRM 시스템의 구조 및 기능 등에 대해 살펴보고, 간단한 예제를 통하여 웹 데이터의 유용한 활용 방법을 제시해 보고자 한다.

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Design of gCRM system integrated with LBS

  • Park, Key-Ho;Jung, Jae-Gon;Hwang, Myung-Hwa
    • Spatial Information Research
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    • v.10 no.4
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    • pp.567-578
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    • 2002
  • The success of gCRM depends on the availability of adequate, real-time data about customers' location and the provision of diverse value-added services utilizing it. In the existing gCRM systems, however, it seems that the positional precision of customers' location is very low, and further that the services based on real-time location data are not provided. In order to overcome these weaknesses and extend the limited scope of gCRM, we suggest a new design of gCRM system integrated with LBS. We also describe in some detail the system prototype for such an integration.

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A Study on the Design and Development of eCRM Using Financial Goods Recommendation Expert System (금융상품추천 전문가시스템을 이용한 은행의 eCRM 설게 및 구축 방안에 관한 연구)

  • Kim, Ha-Kyun;Jeong, Seok-Chan
    • The Journal of Society for e-Business Studies
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    • v.9 no.3
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    • pp.191-205
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    • 2004
  • In banking industry, as competition of retail finance is intensive, there appeared eCRM which is a kind of marketing strategy, not only screening good customers but also doing one-to-one marketing for improving customer royalty and satisfaction of goods and service of bank. The strategic importance of eCRM is increasing more and more. We studied bank to use the advantage of expert system and eCRM. The expert system is used as a tool to analyze eCRM. In this paper, first, we presented an eCRM system architecture using expert systems in banking business. Secondly, a bank financial goods recommendation system using expert system is designed and developed. Customers will receive the good quality financial services from the expert system and banks also will acquire the good quality customer data from the expert system.

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