Dissertations / Theses on the topic 'Database of customers'
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Vašková, Helena. "Využití CRM pro posílení konkurenční pozice vybrané společnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-402000.
Full textJia, Hao. "A web application for Medasolution Healthcare Company customer service system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2612.
Full textSeashore, Jonathan. "The automation of obtaining customer billing data." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/JSeashore2006.pdf.
Full textOrtiz, David. "Integrating Customer Relationship Management into Cloud and Database Courses." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1607093461884969.
Full textOškrdová, Petra. "Návrh implementace systému řízení vztahů se zákazníky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222377.
Full textHou, Pingyu. "Customer relationship management for banking system." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2635.
Full textŠramko, Pavel. "Marketing elektronického obchodu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222017.
Full textJuránek, Patrik. "Telemarketing jako efektivní nástroj marketingové komunikace." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-193630.
Full textUlicney, Mandy L. "Implementation of database marketing in the private club industry." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1310475732.
Full textOsman, Hanaa. "The practice of relationship marketing in hotels." Thesis, Oxford Brookes University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364714.
Full textMencner, Jacek. "Využití nástrojů Business Intelligence k zefektivnění zákaznického centra." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318318.
Full textSedlák, Marek. "Návrh informačního systému." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-224946.
Full textObyn, Renaat, and Nele Callens. "Company Communication System for Customers and Dealers." Thesis, Jönköping University, School of Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-824.
Full textThis thesis, that comes together with an extranet and internet site programmed in ASP.NET 2.0, has been written in the context of our final project on bachelor level in association with the School of Engineering – Jönköping University.
We had the choice to think of a project on our own or to work in association with a company. As the Belgian company Induma came with this idea, we decided to work this project out.
Our project has got the name ‘Company Communication System for Customers and Dealers’. Besides the front-end and back-end internet site, it will also include a system for customers and dealers, extranet site. So the site will get more interactive and there will be more online transactions possible.
We would like to thank the School of Engineering – Jönköping University, KATHO – VHTI and our parents to get the chance to experience studying abroad. We would also like to thank the company Induma for their cooperation and our Belgian and Swedish supervisors K. Deseyne and M. Schoultz for their guidance and help.
Cihlářová, Kateřina. "Návrh systému CRM pro společnost KONZULTA Brno, a. s." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223796.
Full textTůma, Milan. "Identifikace a hodnocení preferencí zákazníků u vybraného produktu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2019. http://www.nusl.cz/ntk/nusl-401995.
Full textBastabak, Burcu. "A Data Mining Framework To Detect Tariff Code Circumvention In Turkish Customs Database." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614616/index.pdf.
Full textTariff Code Circumvention"
. To identify such misdeclarations, a physical examination of the merchandise is required. However, with limited personnel resources, the physical examination of all imported merchandise is not possible. In this study, a data mining framework is developed on Turkish customs database in order to detect &ldquo
Tariff Code Circumvention&rdquo
. For this purpose, four types of products, which are the most circumvented goods in the Turkish customs, have been chosen. First, with the help of Risk Analysis Office, the significant features are identified. Then, Infogain algorithm is used for ranking these features. Finally, KNN algorithm is applied on the Turkish customs database in order to identify the circumvented goods automatically. The results show that the framework is able to find such circumvented goods successfully.
Moore, Katie Dyretha. "Knowledge Sharing and Customer Relations in Mobility." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7168.
Full textCanti, Michael. "Analisi di un Sistema di Stoccaggio. L’attività di Customer Service. Il caso Due Torri S.p.A." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Find full textKlimo, Ján. "Stimulating Repeat Purchase Behavior: Case Study of Solosso Company." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-113956.
Full textElsner, Ralf. "Optimiertes Direkt- und Database-Marketing unter Einsatz mehrstufiger dynamischer Modelle /." Wiesbaden : Dt. Univ.-Verl, 2003. http://www.gbv.de/dms/zbw/36194411X.pdf.
Full textSvitálek, Petr. "Návrh a implementace SAP CAR s automatickým zotavením z havárie." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-319169.
Full textWietholder, John. "Development of an electronic data collection and analysis system for the Mexican Fine Arts Center Museum." [Denver, Colo.] : Regis University, 2005. http://165.236.235.140/lib/JWietholder2005.pdf.
Full textTitle from PDF title page (viewed on Dec. 5, 2005). "In association with: Linton Myers, LKM Technology." Includes bibliographical references.
Rajack, Clyde. "Information Technology Outsourcing Strategies to Ensure Customer Satisfaction." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7721.
Full textDammgård, Malin. "Utvärdering av programvaror för variabeldata till Lugnetgymnasiets färgskrivare,Ricoh AFC 6513." Thesis, Högskolan Dalarna, Grafisk teknik, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3546.
Full textSewpaul, Sailesh. "Digital Strategies Senior Bank Executives in Mauritius use to Improve Customer Service." Thesis, Walden University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=13422561.
Full textCustomers’ use of digital banking has reshaped traditional banking, and senior level bank executives must know how to leverage this innovation to improve customer service to increase profitability. Using the technology acceptance model as the conceptual framework, the purpose of this multiple case study was to explore effective digital banking strategies that senior level executives used to improve customer service to increase profitability. The target population for this study included senior-level executives from 3 banks in Mauritius possessing successful development and implementation experience in digital banking strategies to improve customer service. Data were collected through semistructured interviews and organizational documents, which were analyzed in accordance with Yin’s 5-phase data analysis process consisting of pattern matching, explanation building, time-series analysis, program logic models, and cross-case synthesis. The use of member checking and methodological triangulation increased the trustworthiness of data interpretations. Three themes emerged from the analysis of data: use of mobile strategies to migrate customers to digital banking, challenges to migrate customers to digital banking, and digital banking innovation. The implications of this study for positive social change include improving convenience to customers; promoting green banking; and providing easy access to banking to the poor, those with physical disabilities, and those living in remote and rural areas.
Wagner, Daniel Scott. "Improving Bespoke Software Quality: Strategies for Application and Enterprise Architects." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3843.
Full textBažant, Milan. "Software pro detekci,analýzu a opravu kolizních objednávek v CRM systému." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222115.
Full textAbreu, Vander Serra de. "Desenvolvimento e implantação do BDCC - banco de dados comum de credenciamento para controle de acesso pela autoridade aduaneira no porto de Santos." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-22072016-153650/.
Full textThis research work demonstrates the current state control, monitoring and recording the entry and exit of people and vehicles controlled by the Customs Bureau of Internal Revenue in Brazilian Ports, the highest body highlighted áreas under federal Constitution and Law 12.815 of 2013 for such control highlighting existing systems installed using as case the Port of Santos. Will be presented the project BDCC Banco de Dados Comum de Credenciamento, system implemented by the ABTRA Brazilian Association Of terminals and Customs in compliance with Ordinance ALF/STS n.200 of Federal Revenue Port of Santos that enabled an unified control of the access based on the ALF entrances / STS n. 73 and 200 and optimized the processes leveraging the investments already made by Bonded precincts in meeting the international code of protection of ships and facilities ISPS CODE and the SSPP, DTe, PSP, SGTC and Portolog systems.
Lee, chia-lin, and 李嘉林. "The Marketing Research of On-Line Database Marketing: A Study of Characteristics of Customers'' Online Trading Behaviors in Securities." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/78891952392786824203.
Full text國立臺灣大學
國際企業學研究所
89
THESIS ABSTRACT NATIONAL TAIWAN UNIVERSITY GRADUATE INSTITUTE OF INTERNATIONAL BUSINESS NAME：Chia-lin, Lee MONTH/YEAR：June, 2001. ADVISER：Professor Li-chung, Jen TITLE: The Marketing Research of On-Line Database Marketing: A Study of Characteristics of Customers’ Online Trading Behaviors in Securities Database Marketing making an application in Internet Marketing is the one of the most important marketing concepts in the real business world now. After incorporating with vertical-sectional inter-purchase time analysis and cross-selling and continuous-selling analysis by using the statistical tools, we can understand the consumers’ needs and movements well more efficiently to build the long-term relationship with the customers. This thesis will make a study of the Online Trading behaviors of the customers in securities to identify the target markets more precisely. The objectives of this research are as follow: 1. By investigating the domestic and overseas documents in database marketing and using the statistics analysis method, this research attempt to make up a research with deeper and wider content. 2. Making the result of this research as the basis of Database Marketing , provide businesses the foundation of making the follow-up One-to-One Marketing strategies、the strategies for Customer Relationship Management and reactions in real business world. This research examines the individual Online Trading records and the statistics variables of customer databases in securities. According to analyze customer Online Trading behavior analysis, including Inter-purchase Time Analysis、the Customer Active Analysis and Customer Contribution Analysis, the result will support the marketing staff to predict the customers’ life-value. Finally, the research provides the real-world strategic suggestions, tries the best to build a great concept of Database Marketing deeply in people’s hearts.
Liu, Ying Show Andy, and 劉穎壽. "Database Marketing - Establishment and Application of Customer Database." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/39464120828413619659.
Full textLin, Huei-Jing, and 林慧晶. "Database Marketing-Customer Valuation & Marketing Strategy." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/89001265797385286167.
Full text國立臺灣大學
國際企業學系
85
In this age of diversity, marketers find that the traditional marking methods are no longer as effective as before. In order to get close to the customer, micromarketing such as niche marketing, relationship marketing and database marketing have been developed to be the more appropriate methods.Database marketing is a practical framework for the other micromarketing methods, and little attention was paid to the overall thinking of the implementation procedure. So the main objectives of this article are to: 1. Understand the definition of database marketing compared to the other micromarketing methods thoroughly.2. Plan the construction of database marketing strategically.3. Compare the customer valuation methods and empirical results in the database marketing.4. Develop different marketing strategies for the different customers.
Chang, Yi-Ju, and 張伊如. "Customer Valuation in Database Marketing : A Case Study of Automobile Customer Members." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/82363413195268088964.
Full textChen, Pai-Ying, and 陳白瑛. "Customer Valuation in Database Marketing:A Case Study of Direct Selling Customer Ｍembers." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/00167600237066879566.
Full text國立臺灣大學
商學研究所
93
This thesis mainly focuses on direct-sales companies and the Cosmetic Direct-Sales was chosen as the case study. This company has an inseparable relationship with its customers, and has also become a milestone of the development of direct-sales company in Taiwan. This thesis hopes to explore how a cosmetic direct-sales company to use its customer database to develop the best customer retention strategies and other upgrade strategies. This research uses the Hughes, Arthur (1994) RFM model to segment groups by their customer value, then applies the Correlation Rule analysis to model customer’s spending tendency, Logistic Regression analysis to analyze changing issues of the customer, and the Chi-Square Test to uncover order source preference and related factors for customer loss, then evaluates the findings and purposes practical solutions and strategies.
Chun-Wei, Chang, and 張君薇. "Forecast Customer Life-time Value in Database Marketing." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/48741010992461302691.
Full text國立臺灣大學
國際企業學研究所
90
Because of the change of the whole marketing environment, the business must adapt himself to heterogeneity. The company not only wants to sustain the relationship with the customers but also attempts to find the most profitable customers. This research will use the database of credit card to forecast customer value by means of Hierarchical Bayesian Model. The discount rate of customer life-time value will be measured by the uncertainty of consumption. Besides, I will simulate the customer retention rate to calculate customer life-time value. Finally, the consumption type will be evaluated by seeming unrelated regression. The contribution of this research is to consider individual heterogeneity and group information at the same time, to forecast customer life-time value, to find the most profitable customers and the potential customers, and to make business’ strategies. Besides, the knowledge of the consumption type will help business plan the activities of promotion on the customers’ base.
Leou, Huey-chyn, and 柳慧琴. "The Model of Customer Valuation in Database Marketing." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/24516420879072067289.
Full text國立暨南國際大學
國際企業學系
85
In today''s marketing environment , because consumer behaviors change,the technology of telecommunication improves and costs of distribution rise, direct marketing will be more and more important . In another way, through the use of database marketing, direct marketers can build and manage customer database to track the lifetime value of their relationship with each customer . However, one of the most important tasks of the database marketing is to facilitate the creation of statistical model and the subsequent implementationof model results. Traditional method of scoring in direct marketing estimate recency, frequency and monetary measures on an individual-by-individual basis which doesnot fully utilize information that may exist across customers ,and the RFM method does not have the ability to predict the responses of customerspreviously. The regression model has the ability to forecast some future event,such as the average or overall response rate to an upcoming mailing,but it can not forecast each individual''s response. In order to forecast each individual''sresponse, I employ a hierarchical bayes poisson regression model which does not only consider the difference of individual''s purchase rate but also consider the difference of individual''s regression coefficient. For this reason,even independent variables are the same,individual''s purchase rate(dependent variable)will not be the same. The objective of the research : (1) . Establish a model which can predict individual customer value exactly.(2) . use a set of real data to prove our model has the better ability of forecast than the traditional regression model . The result of the research: (1) Our model can forecast individual customer''s future behavior accurately .(2) Our model has the better ability to forecast more valuable customers than the traditional regression model.
Tzuoo, Yih-Shang, and 左逸生. "The Study Of Customer Database Effects The Promotion Decision." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/95699189478675415372.
Full textCHING, CHANG LI, and 張麗卿. "An Application of Database Marketing to Customer Relationship Management." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/85015220994259438776.
Full text大葉大學
資訊管理學系碩士在職專班
93
The Seybold(1998) points out,A enterprise holds a layal customer will elevate a profits of the enterprises; and the customer satisfaction is the best foundation of the profitability (Kotler 1997）.So enterprises want to manage for a long-term business should request the quality of the product but also require the strategy of Customer Relationship Management (CRM) which focused on customers . With the improvement of the information technology and the lim- ited enterprise resource,using the strategy of the database marketing is getting the attention of the enterprise.Its purpose lies on looking for the target customer to make them purchase the products or service again This research apply the RFM model.According to the different marketing strategies, to take the promotion activities by ‘the different- iated service’ and ‘customized service’ strategies. Its purpose is in order to provide the right target customers to run the CRM efficiently. This research applied RFM model to forecast the customer consu- me life.In the automobile field, the R, F of RFM Model takes higher weight than M in the model. At last, dividing the customers into four groups will providing the reference of the individual promotion active- ties programming and the CRM projects in the ways of the study result and the groups dividing method.
Tseng, Hung-Yu, and 曾泓瑜. "Databased Marketing Strategy of Airline Customer Service." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/84144945604133469318.
Full text國立交通大學
資訊管理研究所
83
It is Marketing that critically influences the interac- tive relationship between organizations and customers. Different trends of Marketing come up with the change of environments， and now, it is the age of Databased Marketing. Databased Marketing is a process of information-oriented marketing, an interactive approach to marketing, and a customer-oriented marketing based on database techniques. To keep the long term relationship with customers and understand them well,Databased Marketing has its effectiveness by analyzing the detailed customer data smartly and utilizing two-way communication. The objectives of this research are to suggest the strategies for airline passenger transportation based on Databased Marketing， and segmenting and analizing markets based on the simulated passenger database.
Chang, Hung-Wei, and 張紘瑋. "A Study of Single Type Enterprise Perspective Reconstruct Customer Database: A Case of University Alumni Database." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/2eeavb.
Full text中原大學
資訊管理研究所
103
Change with the times, the modern enterprise business strategy, from product oriented converted to customer oriented , they have been spend a lot of resources in customer relationship management. Organization department because of operational requirements, have build customer relationship management system. Now is the era of speed to determine the winner, how to grasp the information and make effective decisions instantly, is an important factor in business success. Old fragmented customer management systems, customer information stored separately, can not meet the requirements of quick access to information. So, how to integrate customer information, build fast and easy to use database for businesses is a challenge. Based on the above, this study design a database reconstruction process, planning a database integration process from the perspective of a single enterprise, to integration of dispersed information. Process is divided into three phases, Phase I: From the perspective of a single enterprise, planning customer database integration. Phase II: Explore data sources and use ETL (Extract, Transform, Load) and data integration technology, synchronize customer data to integrated databases. Phase III: According to user’s needs, build fast and easy to use data market, and user interface, database reconstruction work is completed. The study, run the database reconstruction process on a school alumni database, and verify the feasibility of the process. In the implementation process, we record the steps ,difficulties and precautions, provide practical experience from reconstruction process database. Finally, we summarize the problem with old database on enterprise: complex database architecture, database reconstruction high cost , and there are differences in the understanding of the information. Database reconstruction process of the study design, help enterprises integrated database from the perspective of a single enterprise.
Wu, Hsin-Jung, and 吳欣蓉. "Establishing life insurance customer value analysis model with a database." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/78184518699377476746.
Full text中國文化大學
企業實務管理數位學習碩士在職專班
100
ABSTRACT With the rising of cross-selling activities of Financial Holdings and the changing of commercial market and technology, the trend of corporate competition has gradually moved to an effective strategy orientation, the emphasis on customer orientation, per-sonalized products and services, service quality and product innovation, and even high-lighted the sales orientation of using effective marketing channels and tools to stimulate purchasing power. Compared to the past, there is a great amount of emphasis on target market, customer demand and integrated marketing. This study uses the customer trading data of life insurance by telemarketing from a financial holding company, locates some customer profile that is willing to make deals, and then discover the beneficial knowledge of marketing campaign. The purpose is to assist insurers for properly detecting specific population in promotional marketing, pro-ceeding effective marketing campaign, and also achieving the goal of decreasing mar-keting cost and increasing customer life time value. Thus, this would help the corpora-tion to effectively retain existed customers and construct long-term relationship with clients.
Tang, Hsiu-ling, and 唐秀玲. "Database Marketing of the Analysis of Customer Consumption Behavior Change." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/55812103060855410512.
Full text東吳大學
企業管理學系
100
The recent debt crisis in Europe and emerging markets has slowed down situation in the country is facing the dual increase the pressure of the oil and electricity, coupled with the credit card issuing market is highly competitive in the international market. Faced with rapidly changing consumer market consumption, how to quickly detect changes in customer consumption, draw up strategies and real-time and customer dialogue, customized information to touch the customer, is an important thing. In this study, the database data, random sample of 1,000 customers, its nearly five changes in the consumer situation analysis, and try to use latent class regression model, combined with the concepts of time-series trends to identify the customer changes segmentation, consumer spending, the migration path to change the forecast, so that enterprises can quickly grasp the changes in customer behavior. Of this study found that this sample optimal segmentation of five groups, changes in consumer spending in some segments, but some segments of the changes in consumer spending is really showing the status of the growth or decline. In this study may provide business and marketing personnel one way of changes in customer spending, instant develop countermeasures immediate start communication and customer, to push up the customer's consumption amount or prevent customer loss.
Huang, Mei-Chen, and 黃美甄. "The Analysis of Customer Value Migration Path in Database Marketing." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/26342400066062650673.
Full text國立臺灣大學
國際企業學研究所
91
Database Marketing is a useful method of implementing Relationship Marketing and One-to-One Marketing. Because of the change of the whole marketing environment, the business must adapt himself to heterogeneity. The company not only wants to sustain the relationship with the customers but also attempts to find the most profitable customers. In this thesis, we try to use the database of credit card and consider customer’s heterogeneity and dynamic to analysis customer value and customer migration path. Apply markov chain, hierarchical bayes and brand choice theory to development three model including Bayes Multi-nominal, Hierarchical Bayes Probit and Hierarchical Bayes Logit model. Through the data analysis, we can realize customer’s value and behavior more efficiently and execute marketing strategy and the customer relationship management precisely.
Lai, Li-Ting, and 賴俐婷. "The analysis of Customer Migration Path in Credit Card Database Marketing." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/11922298419523257592.
Full text國立臺灣大學
國際企業學研究所
101
How does enterprises maintain relationships between customers and to fully understand what the customers really want becomes quite urgent. The investment in marketing resources and the list of key customers determine the profits of enterprises and the results of the management. Database Marketing is a requisite and efficient weapon for firms to put relationship marketing in practice. The task of this practice is to evaluate individual customer value through proper analyses of customers'' purchase data. What enterprises need to do is to be able to capture the migration patterns of a customer''s value in advance, in order to explore potential customers and prevent inactive customers. Markov chain model and hierarchical Bayesian Probit approach are applied to construct individual customer''s purchasing transition probabilities in every state. With the transition matrix and defined customer migration pathways, we can calculate customer correspondence. With the information, the enterprises can indicate key customers and allocate marketing resources more efficiently.
Tsai, Chih-An, and 蔡智安. "Customer Valuation in Database Marketing –An Empirical Study of Fueling Behavior." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/76173709329255482034.
Full text國立臺灣大學
國際企業學研究所
93
The main purpose of this research is to help the company establish a better understanding of its customers, figure out the heterogeneity of each one, and adopt one-to-one marketing strategy rather than mass marketing strategy. Thus, we use customers’ past transaction data and some database marketing analysis techniques to identify each customer more precisely. First of all, we conduct the analysis of consumption behavior in variation of time according to two set of time frame. An estimation of the inter-purchase time of individual customer includes Maximum Likelihood Estimation（MLE）, Weighted Maximum Likelihood Estimation（WMLE）,and Hierarchical Bayesian Model（HB）. The main advantage of HB is that HB considers the unobservable heterogeneity of individual customer and hence forecast its future behavior more accurately. Furthermore, from Customer Active Analysis, Customer Value Analysis, and Customer Reliable Analysis, we can segment all customers into groups by consuming behavior and make various marketing strategies corresponding to different groups. Employing the purchasing records of every gas station of a domestic leading petroleum brand, last but not the least, we compare the different fueling pattern between the motorcycle and car customers to help the company identify its target markets and do its promotion efficiently.
Huang, Tzu-Hao, and 黃子豪. "Customer Dynamic Segmentation Analysis – An Example for Online Shopping Website Database." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/pyc5f5.
Full textYang, Hsiu-Wei, and 楊修維. "Customer Value and Migration Analysis ─ An Example of Shopping Website Database." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/jpv962.
Full text國立臺灣大學
國際企業學研究所
100
Enterprise in this era of information, competition becomes furious and needs of customer are more complex, needs to build competence advantage elaborately. Efficiently utilizing customer information to manage relationship with client and effectively implementing marketing strategy is important. Datebase is core resource of shopping website industry so that marketing staff devote to extract valuable information from historic transaction record. Utilizing databese marketing skill integrating marketing knowledge and statistic methodology is useful to distinguish different needs of each customer. This thesis use activity index and reliability index to analyze customer value. Besides, we use Hierarchical Bayesian methodology to modify the bias from shortage of individual transaction record and take customer heterogeneity into account. In addition, migration analysis could assist in predicting customer behavior and adopt dynamic marketing strategy. The final results of this thesis provides systematic customer research structure with shopping website enterprise to allocate marketing resource to beneficial customer and strengthen customer relationship management.
Lee, Chang-wei, and 李章偉. "Customer Valuation in Database Marketing : An Empirical Study of 3C Distributor." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/43907222879125285151.
Full text國立臺灣大學
國際企業學研究所
89
The purposes of this research are twofold. One is aimed to conduct customer purchase behavior analysis, including Inter-purchase Time Analysis, Customer Active Analysis, and Customer Value Analysis. Another is to conduct product assortment analysis, including Static Product Combination Analysis and Dynamic Product Combination Analysis. As estimating the inter-purchase time of individual customer, the main difference between Hierarchical Bayesian Model and Maximum Likelihood Estimation or Weighted Maximum Likelihood Estimation is that HB considers not only the different purchase rate of individual customer but also the different regression coefficient of individual customer. Thus HB model has the better ability to forecast future purchase behavior of individual customer. From Customer Active Analysis and Customer Value Analysis, we can make various marketing strategies corresponding to the different purchase behaviors of different groups. Conducting Static Product Combination Analysis, both Product Correlation Matrix and Factor Structure Matrix may be the decision basis of product exhibition or traffic design in retailing stores and product bundling or cross-selling. Finally, the Product Inter-purchase Time Matrix could be the decision basis of up-selling and continuity-selling.
LEE, MORRIS, and 李慧群. "A Study Relationship on Marketing Relationship, Customer Satisfaction and Customer Loyalty-An Example of Database Software Industry." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/99765820624722246653.
Full text樹德科技大學
資訊管理研究所
94
In order to increase their competitiveness and overall operation efficiency, different industries in the Taiwan region in recent years are having greater demand for using database software for business management purposes, and the question of how to increase the degree of customer satisfaction and customer loyalty in order to strengthen the industrial competitiveness has become an issue that demands immediate attention. Therefore, in consideration of increasing the market competitiveness of the Information Software industry, this research discusses the correlations between relationship marketing, customer satisfaction, and customer loyalty. The purpose of this research is to discuss the influence of the relationship marketing provided by the Information Software industry on customer satisfaction and customer loyalty. The research subjects of the empirical survey are the users of database software, and questionnaires were used to gather survey samples. A total of 211 valid samples were retrieved, and SPSS 10.0 statistic software was the analytical tool through which methods such as One-Way ANOVA, regression analysis, and path analysis were used to verify the correlations between different variables. The conclusions reached in this research are as follows: 1. Different customer characteristic variables have significant differences in terms of the cognition of relationship marketing. 2. Different customer characteristic variables have significant differences in terms of the cognition of customer satisfaction. 3. Different customer characteristic variables have significant differences in terms of the cognition of customer loyalty. 4. The degree of relationship marketing’s sub-dimension of the type of social combination has a significant influence on customer satisfaction and customer loyalty. 5. The degree of relationship marketing’s sub-dimension of the type of financial combination has a significant influence on customer satisfaction and customer loyalty. 6. Relationship marketing has a significant influence on customer satisfaction. Customer satisfaction is high when the relationship marketing provided by the database software company is ideal. 7. Relationship marketing has a significant influence on customer loyalty. Customer satisfaction is indeed an intervening variable between relationship marketing and customer loyalty. 8. Customer satisfaction has a significant influence on customer loyalty. Customers’ loyal to the database software company increases as the degree of customer satisfaction rises. The above conclusions serve as practical references for the Information Software industry and provide a direction for related future research. Key words: Relationship Marketing, Customer Satisfaction, Customer Loyalty, Database, Market Competitiveness.
Chan, Hsiao-Han, and 詹曉涵. "Customer Concentration Analysis in Internet Database Marketing: An Empirical Study of DELL." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/73420055255476910537.
Full text國立臺灣大學
國際企業學研究所
95
As the boom in internet, electronic commerce has flourished recently. Many retailers attempt to invest a lot in e-commerce to compete with their rivals. Some of the manufacturers even sell their products to customers via the internet directly. The typical instance is the well known company, DELL.com. Because of the attributes of internet, such as plenty capacity of information, simultaneous responses, high speed, no national boundaries, and no constraints on time, E-commerce becomes a more flexible way to sell goods. Businesses have concerned more about the heterogeneity of customers lately. To satisfy the different needs, corporations tried to find the way to serve most of the customers more efficiently. Therefore, the most important missions to the businesses are to find the most valuable customers and serve them well to meet their needs separately, and further, to maintain the good relationships with them. The thesis takes the DELL.com site as an example. By calculating the consumer concentrations of different variables, the study will display the structure of the customers. In addition, there will be modified concentration rates and ratios of concentration rates as well. According to the calculation, the characteristics of consumer behavior will be revealed. Finally, there will be some strategic advice at the end.
Teng, Ya-Yun, and 鄧雅云. "Customer Concentration Analysis in Internet Database Marketing: An Empirical Study of amazon.com." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/98422312012237257500.
Full text國立臺灣大學
國際企業學研究所
95
Abstract Customer concentration issues are important for online companies. We’re interested in whether concentrations can provide a new perspective to e-commerce websites in order to understand the behaviors of customers and make suitable marketing strategies. Therefore, in this thesis, we use the Modified Gini Coefficient to calculate the customer concentrations of purchasing frequency, monetary value, visits and page views. Furthermore, we propose a diagnostic strategy of comparing MGs pair by pair to analyze the searching propensity of customers. In this way, we can understand the behaviors of customers according to different dimensions of customer concentrations. Websites can make marketing strategies based on the analytical results, which enable companies to segment and target profitable customers more precisely.