scholarly journals Protecting Retailers Against Contagion: Exploring the Shielding Role of Marketing in the Negative Spillover of the Target Customer Data Breach

2016 ◽  
pp. 309-309
Author(s):  
Saim Kashmiri ◽  
Cameron Duncan Nicol ◽  
Liwu Hsu
Keyword(s):  
Data Breach ◽  
Customer Data ◽  
Negative Spillover

scholarly journals PERLINDUNGAN HUKUM TERHADAP NASABAH BANK YANG DIRUGIKAN AKIBAT KEJAHATAN SKIMMING DITINJAU DARI PERSPEKTIF TEKNOLOGI INFORMASI DAN PERBANKAN

2018 ◽  
Vol 1 (2) ◽  
pp. 157-171
Author(s):  
Dian Ekawati
Keyword(s):  
Information Technology ◽  
Research Method ◽  
Civil Law ◽  
Banking System ◽  
Legal Protection ◽  
Customer Data ◽  
The People ◽  
Internal Operations ◽  
Role Of Information

The progress of the banking system cannot be separated from the role of information technology. In addition to facilitating the company's internal operations, technology tools also aim to facilitate service to bank customers. One side of Information Technology provides not a few benefits to improving services both public services and internal services. On the other hand Information Technology is used by people who are not responsible by committing acts that are against the law, which attacks various legal interests of the people, society, and the state. This study aims to get information about banking crimes that use the skimming method and about legal protection for customers who are victims of skimming crime. The research method is juridical normative, namely obtaining and combining and analyzing data obtained from books, articles and journals and related legislation. The results obtained are that crime skimming is an old mode of customer money burglary which is done by stealing customer data at the customer's ATM with skimmer techniques. Legal protection against customers who are harmed due to the crime of skimming can be carried out by criminal means, namely reporting to the police and the police's duty to arrest the perpetrators. Legal protection through civil law by way of the bank replacing the customer's money after clarifying the transaction against the customer's account

The Role of a Customer Data Platform

2018 ◽  
Vol 20 (1) ◽  
pp. 69-76
Author(s):  
Seth Earley
Keyword(s):  
Customer Data ◽  
Data Platform

Micro-Blogging as Generator of Market Insights and Competitive Intelligence

2015 ◽  
pp. 297-312 ◽  
Author(s):  
Elisa Arrigo
Keyword(s):  
Social Media ◽  
Marketing Channels ◽  
Marketing Strategies ◽  
Strategic Marketing ◽  
Competitive Intelligence ◽  
Market Knowledge ◽  
Customer Data ◽  
Business Objectives ◽  
The Real

Despite the growing popularity of social media in academic papers, micro-blogging research is still in its infancy and there are few research studies on micro-blogging as a tool for achieving business objectives. In particular, the aim of this chapter is to examine the role of micro-blogging in improving the market knowledge of firms. Therefore, this manuscript wants to make a contribution to the strategic marketing field, providing an overview of how micro-blogging can draw insights from the market. It has been shown that micro-blogging allows firms to understand the real thoughts of customers, to control marketing strategies and to acquire updated knowledge about competitors. In fact, the intrinsic features of micro-posts (micro, mobile, instantaneous, spontaneous) make this social media different from other marketing channels and very useful for gathering customer data and accumulating market knowledge.

Negative Spillover Effects of Product-Harm Crisis on Category: Moderating Role of Crisis-Involvement

2013 ◽  
Vol 798-799 ◽  
pp. 877-880
Author(s):  
Jue Wang
Keyword(s):  
Negative Impact ◽  
Spillover Effects ◽  
Marketing Practice ◽  
The Impact ◽  
Moderating Role ◽  
Negative Spillover

Product-harm crisis can seriously hurt a firms performance, has a negative impact on entire category. However, do negative spillover effects on category differ when the characteristics of product-harm crisis are varied? To verify this question, we conducted a scenario-based experiment and found: The more severe product-harm crisis, the more negative spillover effects on category. High crisis information involvement would cause consumers more changes of category attitude. Meanwhile the impact of crisis severity on category spillover effects will be moderated by the crises-involvement. Based on these findings, we talk about their marketing practice values.

scholarly journals Penerapan Data Mining untuk Mendukung Pemasaran Produk Pinjaman Bank

CAHAYAtech ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 161
Author(s):  
Sanusi Amir ◽  
Heri Abijono
Keyword(s):  
Data Mining ◽  
Banking Sector ◽  
Confusion Matrix ◽  
Customer Relationship ◽  
Bank Loan ◽  
Customer Data ◽  
C4.5 Algorithm ◽  
Good Order ◽  
Selection Of

Competition in the banking sector requires every bank to compete to make types of credit products that are able to attract customers to want to transact with banks. Marketing with a product centric strategy needs to be combined with a customer centric to keep Customer Relationship Management in good order with customers. Customer identity can be used to realize the concept of a customer centric marketing strategy. This study describes the role of Data Mining on customer data accompanied by the application of Decision Tree techniques with the C4.5 algorithm to identify the most influential fields in predicting loan products. The customer data fields used in this study include total balance, date of birth, occupation, and status. Selection of fields based on the terms and conditions that apply to each type of loan. The results of applying the C4.5 algorithm to customer data in the formation of loan product prediction decision trees show that the work attribute is the dominant attribute (highest Gain value) among the other attributes. Prediction results are validated with Confusion Matrix with an accuracy value for loan product prediction of 82%. The results of this study concluded that the customer database is a source of data in the prediction process of loan products to be offered to customers, which can be used to support the marketing of bank loan products with a customer centric orientation.

scholarly journals Sistem Pendukung Keputusan Pemilihan Laptop Menggunakan Metode Topsis

CAHAYAtech ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 119
Author(s):  
Fei Lie ◽  
Tjahjaning Tingastuti Suryosuseno
Keyword(s):  
Customer Relationship Management ◽  
Banking Sector ◽  
Confusion Matrix ◽  
Customer Relationship ◽  
Bank Loan ◽  
Customer Data ◽  
C4.5 Algorithm ◽  
Good Order ◽  
Selection Of

Competition in the banking sector requires every bank to compete to make types of credit products that are able to attract customers to want to transact with banks. Marketing with a product centric strategy needs to be combined with a customer centric to keep Customer Relationship Management in good order with customers. Customer identity can be used to realize the concept of a customer centric marketing strategy. This study describes the role of Data Mining on customer data accompanied by the application of Decision Tree techniques with the C4.5 algorithm to identify the most influential fields in predicting loan products. The customer data fields used in this study include total balance, date of birth, occupation, and status. Selection of fields based on the terms and conditions that apply to each type of loan. The results of applying the C4.5 algorithm to customer data in the formation of loan product prediction decision trees show that the work attribute is the dominant attribute (highest Gain value) among the other attributes. Prediction results are validated with Confusion Matrix with an accuracy value for loan product prediction of 82%. The results of this study concluded that the customer database is a source of data in the prediction process of loan products to be offered to customers, which can be used to support the marketing of bank loan products with a customer centric orientation.

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