Academic literature on the topic 'Customer Transaction Database'
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Journal articles on the topic "Customer Transaction Database"
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Warnars, Spits. "Perbandingan Penggunaan Database OLTP dan Data Warehouse." CCIT Journal 8, no. 1 (2014): 83–100. http://dx.doi.org/10.33050/ccit.v8i1.274.
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As a permanent storage for business process transaction, database is a crucial and the needed for the system. Using database often does not match with the ability and functionality and even is it possible as theory said about using transaction database and beyond the advantages and disadvantages, separating using between transactional database and database for decision making will mine the ability and the powerful database as much as possible. Beside that daily transaction will increase the database capacity month by month and year by year and will decrease the performance, especially for customer daily services. Separating between database transaction and database for decision making will decrease connection to daily database transaction and increase daily database transaction as which is run by application and will implicate the increasing customer satisfaction. Moreover making the strategic reports for decision making never ever become a nightmare and unimportant thing. Differentiation efficiency for saving the amount of data byte and effectiveness the query speed in sql statement in order to make the decision making reports will be used as an approach for justification.
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Puspitorini, Sukma, and Miftahul Jannah Vemi Putri. "SISTEM INFORMASI CUSTOMER HISTORY PADA ACE HARDWARE JAMBI PRIMA MALL." JURNAL AKADEMIKA 14, no. 2 (2022): 7–13. http://dx.doi.org/10.53564/akademika.v14i2.853.
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The customer service staff at the Ace Hardware Jambi Prima Mall company with one of the job desks is managing the customer database used for marketing strategy, the customer database management is not effective because it still uses the manual method from the desktop application at the company by typing into Microsoft Excel. The purpose of this Customer History Information System practical work report is to make the effectiveness of the work of customer service staff to manage customer databases using case study research methods, developing this website application using the PHP programming language and the phpMyAdmin database. The pages in this application are input, process, and output, for the input needed in this application is customer data and transaction data with promo blast data processing then WhatsApp blast status. Which of the previous inputs and processes will produce reports or outputs of customers who have registered as members or have not become members, how many according to the selected period, as well as transaction data and other processes from research conducted to make it easier for customer service staff to manage the data.
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Mohamed, Asghaiyer. "Network load traffic on MySQL atomic transaction database." Bulletin of Social Informatics Theory and Application 4, no. 1 (2020): 35–39. http://dx.doi.org/10.31763/businta.v4i1.188.
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Internet technology is developing very rapidly especially on the database system. Today's database has led to data that cannot be processed into the traditional way that we call big data. Some data stored on the server requires a way for the data to be valid and intact for that transaction mechanism appears on RDBMS which ensures that the data stored will become a unified whole as in customer account data, withdrawal of money at ATMs, e-transactions -commerce and so on.
 Of course the use of transactions in a database by not using Atomic transactions has a difference in terms of traffic on the network. This research appears by analyzing network traffic or density from a database that uses transactions and not to users who access them. This research method uses a questionnaire method by distributing questionnaires quantitatively to 300 respondents. The results of the study of approximately 300 respondents, researchers get the results that the use of transactions in databases and databases without transactions after being accessed by 300 people, the densest network is a network owned by a system that uses transaction features, this is because there is a slight increase of about 13% of traffic when compared to a network without transactions. This statement shows that two-way communication from a database that has the transaction provides feedback to the user so that the data is reliable as an indicator that the data has been stored safely. Further research can be done by finding other information or a study of big data using the atomic transaction model.
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Rao, Hao. "Design and Implementation of Stone Materials Information System." Advanced Materials Research 850-851 (December 2013): 724–27. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.724.
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Stone Materials Information System use ActionScript to connect SQLite database. Information of stone materials, transaction, customer, employee can be stored by system. Several database tables are created in the system. Functions are used to complete data modification operations. Stone Materials Information System provides convenience for stone material transactions between the manufacturer and the customer.
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Wicaksono, Yanuar. "SEGMENTASI PELANGGAN BISNIS DENGAN MULTI KRITERIA MENGGUNAKAN K-MEANS." Indonesian Journal of Business Intelligence (IJUBI) 1, no. 2 (2019): 45. http://dx.doi.org/10.21927/ijubi.v1i2.872.
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Customer knowledge is an important asset, in gathering, and managing from sharing customer knowledge into valuable capital for the company. This causes the company to continue to innovate in producing products and serving according to customer needs. To find out the needs of each customer, the company needs to make customer segmentation. Customer segmentation is defined as the division into different groups with similar characteristics to develop marketing strategies that are tailored to customer characteristics. The easiest, simplest, well-known and commonly used model of customer characteristics is the model of the recency, frequency, monetary (RFM) criteria. The RFM model still has weaknesses in low customer segmentation capacity and does not provide information on the continuity of customer transactions in understanding customer loyalty. The research method used is the Knowledge Discovery in Database (KDD) method. The data is transformed into another format that suits the needs of analysis and then the customer is segmented using clustering data mining techniques with the K-Means algorithm. From the experiments, the RFM model guesses loyal customers when reviews, frequency and monetary are high. In reality, the recency only provides information on the customer making the last transaction and the high number of transaction frequencies can be done without the customer's stability in making transactions each period. Implementing multi-criteria in customer segmentation can be better than just RFM criteria. So it will not be wrong to treat customers according to the groups that have been formed.
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Puspitorini, Sukma, Reny Wahyuning Astuti, and Miftahul Jannah Vemi Putri. "ASSOCIATION RULE MINING UNTUK PROMO WHATSAPP BLAST PADA PRODUK ACE HARDWARE JAMBI PRIMA MALL." JURNAL AKADEMIKA 15, no. 1 (2022): 90–96. http://dx.doi.org/10.53564/akademika.v15i1.848.
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Customer service staff at the Ace Hardware Jambi Prima Mall company with one of their jobs is to manage customer databases that are used for marketing strategies, one of which is whatsapp blast, but the customer database is not widely managed, therefore the purpose of this data mining analysis thesis report is to use association rules on the method a priori to describe promos addressed to customers based on shopping history. Association rules were formed with the help of the weka tools through a case study of promotional facilities at Ace Hardware Jambi Prima Mall, the development of this website application using the PHP programming language and the phpMyAdmin database. Weka tools are used for the process of finding the best association rules from training data or customer transaction data and the website application is used to display promo predictions from the results of association rules on weka tools. The inputs needed in this application are customer data, transaction data, product data and promo data with a promo prediction process and whatsapp blast status. From the input and the previous process, it will generate reports or customer outputs who will get promos based on shopping history.
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Bagus Sudirman and Ahmad Ashifuddin Aqham. "Sistem Informasi Pelayanan Jasa Laundry Pada Rumah Laundry Kendal." Jurnal Teknik Informatika dan Teknologi Informasi 3, no. 3 (2023): 115–21. http://dx.doi.org/10.55606/jutiti.v3i3.3424.
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Currently it is still done manually and causes difficulties in data retrieval and income capitulation, there are several steps that can be taken to increase efficiency and accuracy in administrative management. Here are some suggestions: Management Information System (MIS) or Laundry Application: Implement a management information system or laundry-specific application that can help automate administrative processes. This application can record laundry receipt transactions, record customer data, and store income information in a more structured manner. Barcode or Unique Identification System: Use a barcode or unique identification system on each laundry receipt. This will make it easier to track and search data. Each customer or order can have a unique code or barcode that can be scanned to identify the transaction. Electronic Logging: Switch from manual logging to electronic logging. Use spreadsheet or database software to store and manage data. Make sure all laundry receipt data, including customer information and type of service, is recorded carefully. Centralized Database System: By implementing these solutions, you can optimize the laundry service administration process, reduce data search time, and increase revenue management efficiency. The aim of creating a Laundry Service Information System is to make it easier for business owners to manage customer transaction data and in preparing financial reports. The methods used in collecting data are observation, interviews and literature study, while the system development method used is R&D (Research and Development). This system was built using the PHP programming language, Boostrap, and for the database using MySQL. The results of this research are a web-based laundry service information system. This laundry service information system contains 2 access rights, namely Admin and customer. Customers can find out the status of their laundry and payments, while Admins can manage customer data, manage transactions, and view print reports
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Dhakirah, Sanita, Hilda Cahyani, Isnaini Nur Safitri, Aisyah Vanadia Rubianto, and Novitasari. "PENGELOLAAN DAN MONITORING DATABASED PELANGGAN DENGAN LITERASI FITUR MS. EXCEL PADA UMKM KRIPIK TEMPE SANAN RIZKY BAROKAH DI KOTA MALANG." Jurnal Pengabdian kepada Masyarakat 10, no. 2 (2023): 221–26. http://dx.doi.org/10.33795/abdimas.v10i2.4512.
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In this modern era, doing business requires a marketing strategy to market a product. One good marketing method is to utilize a customer database. A database is a collection of data or information stored systematically. Meanwhile, the customer database is data that contains customer personal information, such as name, email, telephone number, age, gender, product search history, transaction history and other demographic and psychographic data. This database can be used to build and maintain a business, as well as establishing good relationships with customers. As Micro, Small and Medium Enterprises (MSMEs), the hope is that they can keep up with developments by becoming familiar with data. When you are data literate, it will make it easier for MSMEs to develop their business in this digital era. The customer database will help MSMEs reach more consumers. Utilizing data coupled with knowledge in processing customer databases is one of the keys to successfully managing a business. As an MSME actor, you must also be able to use data optimally. The Sanan tempeh chips center, as one of the areas in Malang City, is the center of a home industry that produces tempeh chips that are still surviving in this global era. The aim of this research is to help MSMEs to manage customer databases, business actors know and of course create the best business strategies
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Murti, Ardila, Nuur Rochman Naafian, and Ari Pantjarani. "Web-Based Goods Delivery Data Archiving Information System (Case Study of Indah Kartasura Logistics Cargo)." Radiant 4, no. 3 (2024): 208–21. http://dx.doi.org/10.52187/rdt.v4i3.162.
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Documents or data are very important and crucial information for a company. One of the important documents for a company is transaction data for a company engaged in a particular field. There needs to be a good filing system so that transaction data can be recorded and used if needed in the future. Indah Logistics Cargo is an agency engaged in the field of freight transportation services to all Regencies and Provinces in Indonesia. The agency already has software that is useful for printing transaction receipts, but there are problems in the customer service section when complaints from customers arise. This happened because there was no data in the software in the customer service section and had to check manually with the administration section. The menual process occurs because there are no access rights granted to the customer service department to view transaction data. The system causes the process to be slow and the customer to be uncomfortable. The purpose of this research is to create a web-based shipping data archiving information system. The author uses the SDLC (System Development Life Cycle) method in the system development process and the PHP programming language and uses the MySQL database. The system that the author designed can produce software that can help the customer service department of CV. Indah Cargo Kartasura in terms of archiving goods delivery transaction data so that the service process to customers is fast and provides a sense of comfort.
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Nuraini, Fina, and Joko Sutopo. "Pengembangan Sistem Informasi Bank Sampah untuk Optimalisasi Pengelolaan Data." JTIM : Jurnal Teknologi Informasi dan Multimedia 5, no. 3 (2023): 249–61. http://dx.doi.org/10.35746/jtim.v5i3.409.
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Bank Sampah Sumber Rejeki in Cilacap City provides an opportunity for customers to deposit waste and receive monetary rewards. Unfortunately, current data management is still manual through unstructured notebooks, potentially resulting in data loss due to notebook damage, difficulty in finding customer information, and delays in making performance reports. This research aims to develop a website-based management information system that is tailored to the needs of the sampah bank. This system includes customer data management, recording waste deposit transactions, recording customer balance withdrawals, and improving waste bank data security. Data was collected through direct interviews with the manager of Sumber Rejeki Waste Bank. The development method used is Feature Driven Development (FDD) using the PHP programming language and MySQL database. In addition, testing this system also involves the black box testing method to ensure the functionality is as expected. The result of this research is a web-based system that is significant in improving the efficiency of managing customer data, transactions, and waste bank performance reports. The implementation of this system reduces the risk of errors and data loss due to manual recording and provides easier access for customers to view transaction history in the waste bank.
Book chapters on the topic "Customer Transaction Database"
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Sharma, Archana. "M-Commerce Location-Based Services." In Managing Resources for Futuristic Wireless Networks. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-5225-9493-2.ch009.
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Truthful authentication with secure communication is necessary in location-based services to protect from various risks. The purpose of this research is to identify security risks in mobile transactions especially in location-based services like mobile banking. The factors need to be identified the reasons of customer distrust in mobile banking. In addition, the security issues with mobile banking systems and mobile devices are highlighted. The chapter finds which approach is more suitable and secure for mobile banking transaction between customer and bank. The research predominantly focuses upon customer trust, security issues, and transaction costs owing to different technology standards of mobile commerce. The first phase highlights the various location-based services in m-commerce, various technology standards, customer trust, and perceived risk, and further, at next level, it highlights the various problems associated mobile database and a comparative study of various replication protocols, transaction security issues, and LBS security challenges.
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Yu, Cuiyuan, Xiuling Zhang, Yuye Zhu, Xuexia Duan, Guanzhu Zhang, and Shan Su. "Application and Practice of Web Data Mining in Ecommerce Based on BP Neural Network Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde241351.
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With the development of computer network technology and database technology, the ecommerce industry has also experienced rapid growth, generating massive amounts of transaction data every day. Web data mining technology based on BP neural network algorithm can achieve targeted collection, organization, and analysis of this data, mining novel information with potential application value for merchants from a large amount of random and noisy data, which can serve as a powerful reference for business decisionmaking, improve customer satisfaction, reduce customer churn, and explore potential customer resources.
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Gurau, Calin. "UML as an Essential Tool for Implementing eCRM Systems." In Encyclopedia of Multimedia Technology and Networking, Second Edition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-014-1.ch196.
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Electronic commerce requires the redefinition of the firm’s relationships with partners, suppliers, and customers. The goal of effective customer relationship management (CRM) practice is to increase the firm’s customer equity, which is defined by the quality, quantity, and duration of customer relationships (Fjermestad & Romano, 2003). The explosive development of the online market and the rapid evolution of customer management applications have determined the companies to implement electronic customer relationship management (eCRM) systems, which are using advanced technology to enhance customer relationship management practices. The successful implementation of an eCRM system requires a specific combination of IT applications that support the classic domains of the CRM concept: marketing, sales, and service (Kennedy, 2006). Electronic marketing aims for acquiring new customers and moving existing customers to further purchases. Electronic sales try to simplify the buying process and to provide superior customer support. Electronic service has the task to provide electronic information and services for arising questions and problems or to convey customers to the right contact person in the organization. The eCRM system comprises a number of business processes, interlinked in a logical succession: • Market segmentation: The collection of historical data, complemented with information provided by third parties (such as marketing research agencies), is segmented on the basis of customer life-time value (CLV) criteria, using data mining applications. • Capturing the customer: The potential customer is attracted to the Web site of the firm through targeted promotional messages, diffused through various communication channels. • Customer information retrieval: The information retrieval process can be either implicit or explicit. When implicit, the information retrieval process registers the Web behaviour of customers, using specialized software applications, such as “cookies.” On the other hand, explicit information can be gathered through direct input of demographic data by the customer (using online registration forms or questionnaires). Often, these two categories of information are connected at database level. • Customer profile definition: The customer information collected is analyzed in relation with the target market segments identified through data mining, and a particular customer profile is defined. The profile can be enriched with additional data (e.g., external information from marketing information providers). This combination creates a holistic view of the customer, his needs, wants, interests and behaviour (Pan & Lee, 2003). • Personalization of firm-customer interaction: the customer profile is used to identify the best customer management campaign (CMC), which is applied to personalize the company-customer online interaction. • Resource management: The company-customer transaction require complex resource management operations, which are partially managed automatically, through specialized IT-applications, such as Enterprise Resource Planning (ERP) or Supply Chain Management (SCM), and partly through the direct involvement and coordination of operational managers.
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Soler-Labajos, Neus, and Ana Isabel Jiménez-Zarco. "Social CRM." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0332-3.ch008.
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The advent of the web 2.0 in general and the social networks in particular has altered the consumer behavior with brands, consumer becoming the protagonist of his relationship with the companies. The consumer is no longer passive, but someone who belongs to an interactive user community, whose opinion influences the decision making of others and the company. And companies, therefore, need to understand how to structure content and branding strategies where clients not only communicate with the company, but each other, in real time: the social media. Social networks, as currently represent the opportunity to get the engagement of customers and prospects in a way that can not be achieved by other means, become a single source of information that must be integrated into the software of the company, allowing the conversion of conversation into a transaction. So having a database of clients with personal information is no longer enough, and is required to obtain qualitative features that enable the company to know more about consumers and provide, as a result, a greater brand value. The Social CRM is a tool that incorporates the information obtained from the social networks to the traditional CRM, to ensure that the company is better informed about its customers and gets a much more solid basis for decision making, customizing the offer and adding value to the customer.
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Bang, Jounghae, Nikhilesh Dholakia, Lutz Hamel, and Seung-Kyoon Shin. "Customer Relationship Management and Knowledge Discovery in Database." In Database Technologies. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-058-5.ch107.
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Customer relationships are increasingly central to business success (Kotler, 1997; Reichheld & Sasser, 1990). Acquiring new customers is five to seven times costlier than retaining existing customers (Kotler, 1997). Simply by reducing customer defections by 5%, a company can improve profits by 25% to 85% (Reichheld & Sasser, 1990). Relationship marketing—getting to know customers intimately by understanding their preferences—has emerged as a key business strategy for customer retention (Dyche, 2002). Internet and related technologies offer amazing possibilities for creating and sustaining ideal customer relationships (Goodhue, Wixom, & Watson, 2002; Ives, 1990; Moorman, Zaltman, & Deshpande, 1992). Internet is not only an important and convenient new channel for promotion, transactions, and business process coordination; it is also a source of customer data (Shaw, Subramaniam, Tan, & Welge, 2001). Huge customer data warehouses are being created using advanced database technologies (Fayyad, Piatetsky-Shapiro, & Smyth, 1996).
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Ali, A. Ashraf, and S. Silvia Priscila. "Short Time Comparison of Item Sets With Market Basket Analysis Using Frequent Pattern (FP) Growth Method." In Explainable AI Applications for Human Behavior Analysis. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1355-8.ch007.
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Supermarket analysis examines purchasing patterns to identify relationships among the various goods in a customer's shopping cart. The results of these correlations have assisted businesses in developing a successful sales strategy by grouping goods that customers commonly buy. Due to the expanding volume of data and its widespread utilization in the retail sector to enhance marketing strategies, Data Mining (DM) has become increasingly important in recent years. Transaction data analysis from the past yields a wealth of knowledge about consumer behaviour and commercial choices. The rate at which data is saved doubles every second that the fastest processor is available for its analysis. In a huge dataset or database, the Market Basket Analysis (MBA) approach of DM seeks out a group of items that commonly appear together. This technology is employed in a variety of sectors, including retail, to encourage cross-selling, assist with fraud detection, product replacement, and certain purposes. Based on this technology, it is simple to understand the buying trends of consumers and their preferences. Technology has advanced, and current business practices have significantly changed as a result. By figuring out the connections among the various things in the consumer's buying baskets, this approach examines their purchasing behaviours. Businesses must increase the accuracy of their operations as a result of changes in customer demands. This research focuses on FP growth, which performs better in mining frequent itemsets than apriori. Hence, this paper focuses on analyzing frequent patterns using conditional FP-Tree in FP growth and compares it with improved and traditional apriori with minimum support as the threshold for identifying the frequently occurring item sets. Moreover, the time consumption of the Associative Rule Mining (ARM) model has been compared with the FP Growth algorithm for identifying the short-time comparison model.
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Bang, Jounghae, Nikhilesh Dholakiam, Lutz Hamel, and Seung-Kyoon Shin. "Customer Relationship Management and Knowledge Discovery in Database." In Business Information Systems. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch122.
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Customer relationships are increasingly central to business success (Kotler, 1997; Reichheld & Sasser, 1990). Acquiring new customers is five to seven times costlier than retaining existing customers (Kotler, 1997). Simply by reducing customer defections by 5%, a company can improve profits by 25% to 85% (Reichheld & Sasser, 1990). Relationship marketing—getting to know customers intimately by understanding their preferences—has emerged as a key business strategy for customer retention (Dyche, 2002). Internet and related technologies offer amazing possibilities for creating and sustaining ideal customer relationships (Goodhue, Wixom, & Watson, 2002; Ives, 1990; Moorman, Zaltman, & Deshpande, 1992). Internet is not only an important and convenient new channel for promotion, transactions, and business process coordination; it is also a source of customer data (Shaw, Subramaniam, Tan, & Welge, 2001). Huge customer data warehouses are being created using advanced database technologies (Fayyad, Piatetsky- Shapiro, & Smyth, 1996). Customer data warehouses by themselves offer no competitive advantages: insightful customer knowledge must be extracted from such data (Kim, Kim, & Lee, 2002). Valuable marketing insights about customer characteristics and their purchase patterns, however, are often hidden and untapped (Shaw et al., 2001). Data mining and knowledge discovery in databases (KDD) facilitate extraction of valuable knowledge from rapidly growing volumes of data (Mackinnon, 1999; Fayyad et al., 1996). This article provides a brief review of customer relationship issues. The article focuses on: (1) customer relationship management (CRM) technologies, (2) KDD techniques, and (3) Key CRM-KDD linkages in terms of relationship marketing. The article concludes with the observations about the state-of-the-art and future directions.
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Dori, Dov. "Object-Process Methodology Applied to Modeling Credit Card Transactions." In Advanced Topics in Database Research, Volume 1. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-930708-41-9.ch005.
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Object-Process Methodology (OPM) is a system development and specification approach that combines the major system aspects–function, structure and behavior–within a single graphic and textual model. Having applied OPM in a variety of domains, this chapter specifies an electronic commerce system in a hierarchical manner, at the top of which are the processes of managing a generic product supply chain before and after the product is manufactured. Focusing on the post-product supply chain management, we gradually refine the details of the fundamental, almost “classical” electronic commerce interaction between the retailer and the end-customer, namely payment over the Internet using the customer’s credit card. The specification results in a set of Object-Process Diagrams and a corresponding equivalent set of Object-Process Language sentences. The synergy of combining structure and behavior within a single formal model, expressed both graphically and textually, yields a highly expressive system modeling and specification tool. The comprehensive, unambiguous treatment of this basic electronic commerce process is formal, yet intuitive and clear, suggesting that OPM is a prime candidate for becoming a common standard vehicle for defining, specifying, and analyzing electronic commerce and supply chain management systems.
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Hamdi Özçelik M. and Duman Ekrem. "Preventing Internet Banking Fraud and Money Laundering Using Customer Trustability Index." In NATO Science for Peace and Security Series - D: Information and Communication Security. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-611-9-109.
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Income sources of most terrorist organizations are based on illegal activities. These mainly include the money stolen from the bank accounts of innocent people or black money made by illegal activities. As the use of internet banking becomes more popular the frauds based on stealing passwords of some people and transferring the amount therein to mule accounts increased also. In this study we aim at detecting such transactions by establishing a Customer Trustability Index (CTI) for all customers available in the database of a bank. The CTI has a rule based component and a similarity based component based on link analysis and the RFM techniques.
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Martins, Michael Nobre, Nuno Baptista, and Anna Carolina Boechat. "Consumerism and Blockchain Technology." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8958-1.ch015.
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Consumerism is an ancient concept that is capturing much attention in recent literature. The consumerism movement was developed in response to power imbalances between companies and the consumer in an increasingly marketized world. It is focused on promoting consumers' rights, market transparency, and consumer freedom of choice. Consumerism aims for market equalization, meaning well-balanced markets, in which market inequalities are reduced, providing a better functioning market environment for both companies and consumers. Being initially designed to revolutionize transactions in the financial system, blockchain is a disruptive technology with potential applications in many different areas. Blockchain is a public, immutable, and permanent ledger, which works as database in a decentralized network, using cryptographic codes. Framed by consumerism literature, this chapter explores the potential applications of blockchain technology, by focusing on key consumerism claims, including marketing ethics, the security of e-commerce transactions, and supply chain traceability and transparency.
Conference papers on the topic "Customer Transaction Database"
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Yen, Show-Jane, Jia-Yuan Gu, and Yue-Shi Lee. "Mining Sequential Purchasing Behaviors from Customer Transaction Databases." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.500.
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Sun, Li, ZhiGang Han, and Zhulei Huang. "Design and Implememtation of Blockchain-Based Digital Collection Trading Platform." In 12th International Conference on Software Engineering & Trends. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140802.
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A blockchain-based digital collection trading platform has been developed, with a frontend design rooted in the Vue.js framework and Element UI component library. This frontend implementation encompasses various functionalities such as a search box, navigation bar, collection list, detail page, and transaction process. On the other hand, the back-end is constructed using the Springboot framework, mysql database, and kafka, integrated with a custom-built blockchain system operating on the Linux platform. In the design of this blockchain system, the traditional "mining" function, which competes for the right to create blocks, has been eliminated. Instead, the main server assumes the responsibility of block creation. Leveraging the characteristics of the Merkel tree and the Merkel Patricia tree, the platform explores the application of a coalition chain that aligns more closely with the concept of centralisation. Furthermore, this platform places significant emphasis on the security design of the transaction system, ensuring robust and secure transactions within the digital collection trading environment.
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"FUZZY MULTIPLE-LEVEL SEQUENTIAL PATTERNS DISCOVERY FROM CUSTOMER TRANSACTION DATABASES." In 6th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0002608604340440.
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Hanyf, Youssef, and Hassan Silkan. "Prediction of customers' needs: An approach based on similarity search in transactions databases." In 2016 International Conference on Information Technology for Organizations' Development (IT4OD). IEEE, 2016. http://dx.doi.org/10.1109/it4od.2016.7479250.
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Motzer, Nicolaj, Marco Amorim, Michal Matowicki, Mira Kern, and Pavla Pecherková. "Exploring various dimensions of perceived usefulness on the intention to use Mobility-as-a-Service." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003813.
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In response to society’s volatile and changing mobility requirements, many new mobility concepts and business models are currently being developed and piloted. The Mobility-as-a-Service (MaaS) concept attempts to meet rising customer demands in a needs-based and situational manner. For the success of innovative mobility offers, user acceptance and thus a user-centred business model and product development is crucial. The aim of this study is to provide deeper insights in the perception of society’s usefulness in a potential MaaS use to derive recommendations for the design and development of MaaS business models from a user perspective. This is done under consideration of the Importance-Performance-Matrix. The question is investigated to what extent differentiated usefulness dimensions (functional, emotional, social, economical, and ecological) influence the intention to use Mobility-as-a-Service. By applying the Technology Acceptance Model (TAM) in the context of an empirical study the relationships between perceived usefulness dimensions, attitude towards using MaaS and intention to use MaaS were examined. For that, an online survey with more than 6400 respondents from four European countries was conducted. In this, we took care to select latent constructs with the highest possible fit that had already been tested in other studies. This database allowed the proposed TAM to be modelled using structural equation models (SEM) to analyse the relationships between perceived usefulness and behavioural intention to use MaaS.The results show that the perceived emotional, functional, and economical usefulness dimensions significantly correlate with both, the attitude towards and the intention to use MaaS positively. Especially the perception of emotionally increasing elements were identified as main drivers for an intensified MaaS use: The more likely users are to enjoy, feel good about, or have fun using MaaS, the more likely they are to use such a system. One design approach for increasing emotional benefits is to add means of transport to a MaaS package whose use is characterized by a high degree of enjoyment, such as e-scooters and e-bikes. Here, we were able to investigate high correlations between the desire for those transport modes and the intention to use MaaS. Another approach is to remove "pain points" in the transaction process in the MaaS app. It is recommended to implement an integrated booking and payment function. Generally, a MaaS app should simplify the processes that users perceive as complicated in intermodal travel. However, no significant results could be found on the social dimension, which means there is currently no need for action in improving a MaaS system regarding social components. The ecological usefulness dimension shows a significant negative influence on the intention to use on the one hand, and a significant positive influence on the attitude towards using MaaS on the other. The results provide impulses for a user-centred development of MaaS, enable an approach for a differentiated consideration of usefulness dimensions in the context of Mobility-as-a-Service, and suggest a need for more in-depth research.
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Pupezescu, Valentin, Radu Radescu, and Sever Pasca. "DESIGN AND IMPLEMENTATION OF AN ONLINE LEARNING APPLICATION TO STUDY A VIRTUAL E-BANKING SYSTEM." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-107.
Full textAbstract:
This paper presents a case study of designing and using an Internet Banking Web application. Its goal is the online learning of administration and deployment of a virtual e-banking system. The application is developed using a three-tier architecture using Apache, PHP and MySQL. The application has all the functionalities of an actual e-banking real-life system. In addition, the paper focuses on highlighting the security problems that may occur and proposes solutions for them. For app implementation the WAMP (Windows, Apache, MySQL and PHP) system was used. Apache is an open source HTTP Server having the following main features: it allows server side programming, virtual hosting and especially the fact that it can be dynamically added modules to extend its functionality (feature that are seized in the paper). MySQL was chosen because it is the best known and widespread database management system. PHP was chosen because of its main advantages: simplicity, efficiency and flexibility. The application was developed using object-oriented programming. This application is the foundation for creating e-learning content to study the management systems of virtual banking. The application was implemented as an independent module into the online e-learning platform called Easy-Learning (an original product of the Department of Applied Electronics and Information Engineering from the University Politehnica of Bucharest). After testing the app, students suggested some improvements, such as real-time validation of user input or centralization of accounts statement, which was taken into account in completing the application. Two MySQL databases are used in this application: the database that stores all user information and account information, and the internal database for token used for authentication. Normally, each token ought to have its own database, but for simplicity a common database for all tokens was used. The implementation solution is that of a virtual event-based token and not time-based token, due to its advantages: server synchronization using an incremental counter, incrementing the counter is not performed without user’s intervention, there is no need for server timing synchronization, well-known cryptographic algorithms are used, and it does not require entering a PIN code for activation (as in the case of hardware token). The administrator has a specific menu, more complex compared to users’ menu. The administrator has additional rights, such as viewing, adding and deleting users, creating their accounts, and the ability to create a backup of the database tables and their restoration. The administrator is the only one that can add or delete users; there is no ability for users to register themselves in order to use the e-banking services. The administrator has access to the user menu, but not vice versa. From the administrator's point of view, analyzing user activity is easily performed using the menu of viewing the user operations history. This way, the administrator can oversee if a user has completed the system requirements or has experienced difficulties in carrying out banking operations. Also, the administrator can modify the user accounts balance when it is needed and can unlock user accounts experiencing authentication problems. From the user point of view, the application offers the following available financial operations: viewing accounts, opening or liquidation of deposits, paying bills or transfers between accounts, and foreign exchange. Currency exchange is updated following the rating of the National Bank of Romania, and this is a strong point of application. The web application allows users to access virtual Internet Banking accounts similar to real-life bank accounts and to accomplish financial transactions in a secure environment. There are multiple security filters, as well as financial operations that customers can achieve online. To improve user experience, a real-time validation of user input data is performed in order to inform the users when placing data in a non-specific format. Another advantage of the app is that all the IT tools and technologies used are freeware software. Overall, a free, interactive application is obtained, where the users can learn and practice in a virtual environment banking operations and procedures, and the administrator has all the necessary means to supervise and manage the whole process of learning and practical application of knowledge acquired.
Reports on the topic "Customer Transaction Database"
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Noah, Alphonse, and Ruth Tacneng. Cameroon’s Tax on Mobile Money: Implications for Agents’ Performance and Revenue Sustainability. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.034.
Full textAbstract:
Agents play a key role in making financial services more accessible, especially for those who are financially excluded. Agents act as intermediaries between mobile money account holders and mobile money service providers, helping them to register as new customers and to credit and take money out of their accounts. In this paper, we explore how introducing a 0.2 per cent tax on mobile money transactions in Cameroon in 2022 affected the performance and revenue of agents. We mainly analyse agents’ commission and transactions using the administrative databases of those responsible for daily management of agent networks (henceforth superagents). To complement our analysis, we conducted a survey of agents in the Centre Region, asking about their business strategies after introducing the tax on mobile money.