数据库营销简单用

数据库营销对企业而言已经不是一个陌生的词汇。但中小企业真正应用数据库营销的却很少。原因无外乎两个方面：很多中小企业仍面临生存危机,开发“新客户”,争取尽可能多的市场份额是他们的现实需求,而通过开展数据库营销进一步开发“旧”客户对他们来说似乎不是很急迫的事情;另一方面,有部分中小企业虽然知道数据库营销的好处,但总认为从建立数据库到通过数据库进行在线营销,需要专业的技术和比较繁琐的工作,这些看起来似乎很繁复的过程常常使他们望而却步。     

数据库营销简单用

抓住"企业、产品、客户"这3点,展开数据库营销并不难数据库营销对企业而言已经不是一个陌生的词汇。但中小企业真正应用数据库营销的却很少。原因无外乎两个方面:很多中小企业仍面临生存危机,开发"新客户",争取尽可能多的市场份额是他们的现实需求,而通过开     

Access数据库在中小企业电子商务中的应用

通过分析中小企业发展电子商务的必要性,结合中小企业自身的特点,并对当前主流数据库做比较,进一步分析了Web技术和数据库技术结合的方式,Access数据库是中小企业Web数据库的最佳选择。     

管理会计在中小企业中应用的相关问题

现代管理会计从传统的会计体系中分离出来了,成为现代中小企业管理的重要工具。本文针对的现代管理会计在中小企业中应用的相关问题而进行的研究,通过文章的分析,现代管理会计在中小企业中的应用存在着诸多内部管理问题,通过分析问题发现管理会计在中小企业中应用的制度、中小企业对管理会计的理论研究不够重视、客观的限制从而导致部分人才缺陷、管理会计在中小企业中应用的环境不适宜四个方面。因此在文章的最后提出了加快培养高质量的战略人才、提高管理会计的专业素养及应用水平、推进现代企业的制度的改新、创建专属的独立的管理会计机构四个方面的应用对策来完善管理会计在中小企业中能够更好地发展和有效地应用提高企业的经济利益。     

基于计算机和通信技术的营销情报系统

营销情报系统模型分析在市场营销教学中,如何将计算机网络知识和营销知识有机融合,让学生能够更好地理解和掌握课程,是教师需要重点考虑的内容。笔者通过对营销情报系统的介绍,帮助学生学习这门课程。教学中,营销情报系统的构建需要从以下几个方面做起。基本设施:计算机及办公自动化设备和信息通信技术;数据库:顾客情报数据库、竞争对手情报数据库、价值链成员情报数据库和宏观环境情报数据库;组织保障:组织结构网络、信息传递网络和人际关系网络;方法体系:统计分析工具库、决策模型库等。营销情报系统模型是对营销情报系统的概括和抽象。教…     

计算机数据库技术在信息管理中的应用

随着社会经济的快速发展,以及科学技术的不断进步,计算机技术、互联网技术等在各行业领域和人们日常生活中得到广泛应用,其中通过计算机网络信息技术,能够实现数据快速收集、整理、分析和管理,有效促进经济、文化发展的同时,也为人们生活、学习带来极大便利。另外在信息管理中,通过计算机数据库的应用,能够提高数据管理质量和效率。本文结合计算机数据库技术特点、结构和应用特征等,对其在信息管理中的应用现状进行分析,并对数据库技术应用改进策略进行探讨。     

浅谈实现数据库营销系统的关键技术

数据库营销是运用收集到的数据来预测用户未来的购买行为。成功实现数据库营销系统的关键是首先要建立一个企业资料数据库,在数据库或数据仓库中寻找有价值的隐藏事件,再利用数据挖掘技术对数据库中的数据进行分析,将有意义的信息归纳成结构模式。这样既降低了成本,又提高营销效率和企业的利润。     

我国中小企业营销创新探索与分析

近年来,由于我国中小企业营销创新动力不足、营销模式缺乏创新,企业发展面临重重困难,企业必须构建适应环境、符合企业发展战略的营销组织,通过营销创新,引入和培养企业自身优秀的营销人才,大力开展营销创新活动,通过营销的创新来适应现代营销环境的变化,并以此求得更大生存和发展的空间。     

电力营销管理中营销稽查的应用剖析

营销稽查在电力营销中发挥着重要的作用,其对电力企业的发展具有重要意义。通过介绍电力营销管理的现状,分析了营销稽查在电力营销管理中的具体应用,希望能以此促进我国电力企业的发展。     

市场营销闭环管理的助推器

数据挖掘是一种新的商业信息处理技术,通过对商业数据库中的大量业务数据进行抽取、转换、分析和其他模型化处理,从中提取辅助商业决策的关键性数据。闭环管理是电信企业为了应对日益激烈的市场竞争而对营销活动提出的新要求。数据挖掘技术的有效应用,将可以成为营销闭环管理的助推器。     

Mining association rules procedure to support on-line recommendation by customers and products fragmentation

Electronic Commerce (EC) has offered a new channel for instant on-line shopping. However, there are too many various products available from a great number of virtual stores on the Internet for Internet shoppers to select. On-line one-to-one marketing therefore becomes a great assistance to Internet shoppers. One of the most important marketing resources is the prior daily transaction records in the database. The great amount of data not only gives the statistics, but also offers the resource of experiences and knowledge. It is quite natural that marketing managers can perform data mining on the daily transactions and treat the shoppers the way they prefer. However, the data mining on a significant amount of transaction records requires efficient tools. Data mining from automatic or semi-automatic exploration and analysis on a large amount of data items set in a database can discover significant patterns and rules underlying the database. The knowledge can be equipped in the on-line marketing system to promote Internet sales.

The purpose of this paper is to develop a mining association rules procedure from a database to support on-line recommendation. By customers and products fragmentation, product recommendation based on the hidden habits of customers in the database is therefore very meaningful. The proposed data mining procedure consists of two essential modules. One is a clustering module based on a neural network, Self-Organization Map (SOM), which performs affinity grouping tasks on a large amount of database records. The other rule is extraction module employing rough set theory that can extract association rules for each homogeneous cluster of data records and the relationships between different clusters. The implemented system was applied to a sample of sales records from a database for illustration.     

基于Java的数据库应用框架研究及开发

大量的计算机软件的开发离不开数据库的使用,利用数据库框架实现数据库的应用具有多方面的优势。该文设计和实现了一个微型数据库应用框架,并将该框架应用于实际的软件开发过程中,从而验证了该框架的可用性。该框架适用于小型软件系统的开发,提高了系统的可扩展性。     

基于B／S模式的高等数学网络题库系统分析与设计

高等数学网络题库系统是在B／S模式下实现管理员用户管理、题库管理、试卷管理,学生在线练习和考试的集成系统。文章介绍了一种基于SQL SERVER的网络题库系统平台的设计思路,并对实现过程中的关键问题进行分析讨论。系统采用ASP技术和SQL SERVER2000数据库,保障了系统性能,不仅使学生能通过系统进行自主学习,而且减轻了老师批改试卷、作业的工作量,同时为远程教育提供了一个良好的资源共事平台和解决方案。     

图形条码技术在中小企业ERP中的应用

介绍了图形条码技术的基本原理和应用领域,阐明了条码辨读的全过程。根据中小企业ERP建设中遇到的数据问题,指出了该技术与ERP系统集成过程中,在解决采购、生产、销售、库存各环节间存在的问题。同时说明了条码技术在ERP系统引入的必要性。     

Spreading love through fan page liking: A perspective on small scale entrepreneurs

Growing popularity of Facebook has made it a value-adding marketing channel for the small and medium sized businesses. As a marketing medium characterized by low cost and minimum risk it attracts small scale entrepreneurs to utilize this new platform i.e. brand fan page of Facebook as a business communication tool for reaching out to customers. Considering the significance of Facebook as social media marketing platform for businesses and the lack of understanding of this area, the present study investigates whether there exists a significant relationship between brands “liked” on the Facebook fan pages and brand love, word of mouth, and purchase intention from potential buyer perspective. The research was conducted taking five popular small scale entrepreneur backed firms on the basis of the number of likes on their fan pages. Respondents of the survey were followers of fan pages of sampled firms. Structural Equation Modeling (SEM) was applied using primary data collected from 311 respondents. The study reveals a positive relationship between “liked” brands on Facebook fan-page and brand love. Further, the study finds that liking the fan pages is essentially converted into WOM, and it results into purchase proposition.     

基于多Agent技术的通信系统设计与实现

多Agent是计算机软件领域和人工智能中一种新兴的技术,在通信系统中的应用具有很大的优越性.运用多Agent技术实现了综合业务支撑系统,该系统能够实现统一客户库、产品库、销售品及营销库,为上线后业务发展及市场营销、业务数据的跨系统共享、不同系统间流程的顺利衔接奠定良好基础.     

Development of a Sigma–Lognormal representation for on-line signatures

This paper proposes an on-line signature representation based on Sigma–Lognormal modeling. It briefly overviews the prior art published on signature modeling and on human movement analysis for handwriting. Then it presents the Sigma–Lognormal paradigm and gives the key steps for the development of a completely automatic parameter extractor for complex human movements. Results of its application on signatures from a proprietary database and from the SVC2004 database are reported and analyzed in regards of the curve fitting quality. Other possible applications and future works are also suggested.     

Development of an Automated High-Throughput Analytical Characterization System for Support of a Central Sample Collection Resource

A high-throughput analytical characterization system was developed for quality control support of a central sample collection resource. This system utilizes liquid chromatography mass spectrometry with in-house developed data automation applications. Continuous operation of analytical instrumentation is accomplished by fully automating sample submission and report processing functions. Comprehensive analytical information characteristic of quality, chemical, and physical properties (e.g. relative purity, detection sensitivity, LogD) are automatically transferred to an on-line database. The application of this database for detailed quality assessment of a small sample library (ca. 24,000 compounds) is demonstrated.     

数据挖掘技术在中小型制造企业CRM中的应用

客户关系管理(CRM)是一种全新的管理理念,是提高企业竞争力的一种手段,而数据挖掘技术为CRM的实施提供了良好的支持。简单介绍了CRM系统的基本理论知识,分析了数据挖掘技术在中小型制造企业CRM系统中的主要应用,详细论述中小型制造企业运用数据挖掘技术,提高企业信息管理水平和企业竞争力,使企业建立以客户为中心的经营模式。结合中小型制造企业的特点,详细分析当前制造企业管理的困境,提出了中小型制造业具体在CRM中实施的步骤和方法。     

The commercial use of segmentation and predictive modeling techniques for database marketing in the Netherlands

Although the application of segmentation and predictive modeling is an important topic in the database marketing (DBM) literature, no study has yet investigated the extent of adoption of these techniques. We present the results of a Dutch survey involving 228 database marketing companies. We find that managers tend to rely on intuition and on the long-standing methods RFM and cross-tabulation. Our results indicate that the application of segmentation and response modeling is positively related to company and database size, frequency of customer contact, and the use of a direct channel of distribution. The respondents indicate that future research should focus on models applicable for Internet marketing, long-term effects of direct marketing, irritation from direct marketing offers, and segmentation and predictive modeling techniques.