Banking Management System Using Salesforce

It is felt that Modern Banking has become wholly customer – driven and technology driven. During the last decade, technology has been dramatically transforming the banking activities in India. Driven by challenges on competition, rising customer expectation and shrinking margins, banks have been using technology to reduce cost. Apart from competitive environment, there has been deregulation as to rate of interest, technology intensive delivery channel like Internet Banking, Tele Banking, Mobile banking and Automated Teller Machines (ATMs) etc. have created a multiple choice to user of the bank. The banking business is becoming more and more complex with the changes emanating from the liberalization and globalization. For a new bank, customer creation is important, but an established bank it is the retention is much more efficient and cost effective mechanism. Customer Relationship Management (CRM) would also make Indian bankers realize that the purpose of their business is to create and keep a customer and to view the entire business process as consisting of Highly Integrated effort to discover, create and satisfy customer needs. But it is surprising to note that much of the activities of the banking and financial remain focused on customer creation not retention.

Bacterial contaminants associated with automated teller machines (ATMS) keypads in Lafia Metropolis, Nasarawa State, Nigeria

No Abstract.

Financial Inclusion: Globally Important Determinants

This paper highlights the globally-important determinants of financial inclusion. The determi-nants identified in this paper are formal account ownership; demand for formal savings; demand for formal borrowing; financial literacy and education; debit and credit card usage; the need to receive remittances from family and friends; size of the financial system; number of automated teller machines (ATMs); number of bank branches; proximity to a bank; availability and access to mobile phones; availability of digital financial products and services; technology infrastructure; government policy; culture and traditional belief systems; national financial inclusion strategy and implementation; and direct legislation.

Survey On Biometric Based ATMs

Nowadays Automated Teller Machines (ATMs) are widely used by people. People are dependent upon ATMs to conveniently meet their day-to-day needs. As it is an important factor there comes security. ATMs are electronic machines that are operated by customers to deposit or withdraw cash from banks. It is observed that the number of crimes related to ATMs is increased hence there is a need to provide better security to ATM machines. There are different technologies that are used to provide security to ATM machine which includes – RFID technology, fingerprint, face recognition, iris scan, OTP, reference number, random keypad, etc. In a traditional ATM system card and PIN numbers are used for authentication, where security plays a big concern, such as losing cards, stolen pin numbers, card cloning, shoulder surfing, fake keyboard, skimming, etc. In order to overcome these issues, this paper discusses various systems where ATM cards and pins are replaced by biometrics and how they made ATMs more secure.

Micro Activities Recognition in Uncontrolled Environments

Deep learning has proven to be very useful for the image understanding in efficient manners. Assembly of complex machines is very common in industries. The assembly of automated teller machines (ATM) is one of the examples. There exist deep learning models which monitor and control the assembly process. To the best of our knowledge, there exists no deep learning models for real environments where we have no control over the working style of workers and the sequence of assembly process. In this paper, we presented a modified deep learning model to control the assembly process in a real-world environment. For this study, we have a dataset which was generated in a real-world uncontrolled environment. During the dataset generation, we did not have any control over the sequence of assembly steps. We applied four different states of the art deep learning models to control the assembly of ATM. Due to the nature of uncontrolled environment dataset, we modified the deep learning models to fit for the task. We not only control the sequence, our proposed model will give feedback in case of any missing step in the required workflow. The contributions of this research are accurate anomaly detection in the assembly process in a real environment, modifications in existing deep learning models according to the nature of the data and normalization of the uncontrolled data for the training of deep learning model. The results show that we can generalize and control the sequence of assembly steps, because even in an uncontrolled environment, there are some specific activities, which are repeated over time. If we can recognize and map the micro activities to macro activities, then we can successfully monitor and optimize the assembly process.

Cryptography based Internet Security ATM System using Fingerprint for securing PIN

Today, ATMs (automated teller machines) are used in a variety of ways, including: you can withdraw cash, transfer cash, check your balance, get an account summary, and more. The main component here is security, to maintain the security we prefer cryptography and biometrics. Cryptography is a state- of-the-art technique for increasing security. Using cryptography and biometrics together creates a bio cryptographic system. Since the private key is an important component of encryption, here one is the main task to secure the private [1] key. To overcome this issue, we use a biometric fingerprint image. However, biometrics cannot protect anyone’s fingerprint template because of the many suspected attacks. Therefore, we use a fuzzy vault system that combines cryptography [2] and biometrics [4] to ensure that only authorized users can use their passwords and PINs with the legal data. Keywords: Biometrics, Cryptography, Fuzzy vault system, IP security, Java Applets.

Trust and Acceptance of E-Banking Technology Effect of Mediation on Customer Relationship Management Performance

The application of E-Banking is a form of bank service to customers that was established in the 1970s and has started in Malaysia. There was a form of innovation that technology gave to electronics in 1981 into the world of the banking industry. The first was the introduction of Automated Teller Machines. On June 1, 2000, the Central Bank of Malaysia was officially established and gave permission to improve the form of service and convenience for customers when conducting online transactions which previously were done offline and could not be done anywhere. Banking in Indonesia has the advantage of instilling harmony in business ideals and values ??that lead to spirituality. A good relationship in building relationships is the standard for choosing a private bank. Where certain conditions banking is able to become mobile on online applications. It has been seen that there is less activity in bank lobbying in conducting transactions between customers and employees, because it has increased customer satisfaction, maintaining relationships with antecedent factors and marketing performance in the field. For this reason, CRM performance has a goal in building and maintaining good relationships, the nature of buyers and customer retention from the responses given. In a traditional commercial society, the physical form that can be seen is trust. The banking world is not far from the name of marketing and management as attracting forms of customer trust by providing products, services and buyer behavior by displaying employee performance. The application of strategies in marketing is a form of reference in attracting customers to become regular customers with the main purpose of this research paper being to analyze CRM performance as a form of trust in customer relationships to E-Banking without meeting bank employees, bringing convenience to customers in using banking e-banking services. accessible online.

Automated Teller Machine-Based Voting System

Voting is a critical element of any election which involves the processes of electing leaders or representatives into positions of authority in a democratic system of government. In most developing countries of the world, this process is usually marred with challenges of confidentiality, integrity, availability and auditability such as falsification of results, identity theft, theft of ballot boxes, multiple voting problems, over voting, and electoral fraud. This paper presents a framework for Automated Teller Machine-based voting system that solves the aforementioned challenges of the current voting system by using the existing Automated Teller Machines and debit cards issued for voting. Going further to implement the solution proposed in this paper will enhance and guarantee the credibility of the electoral processes and show a true reflection of the wishes of the people.

Determinant of Market Share in the Indonesian Islamic Banking Industry

Market share determines the position of revenue and public utilization of Sharia bank. This research aims to examine the internal and external determinant factors of Indonesia Sharia banking market share. The secondary data were obtained from the Financial Services Authority (OJK) and Bank Indonesia (BI). Autoregressive Distributive Lag (ARDL) was used to explore the short and long periods from the influence of variables, including total of offices, customers, third-party saving (DPK), and promotion. The results showed that the total number of Automated Teller Machines (ATM) had a contrastingly different impact. Therefore, this research recommends adding all variables quantitatively.