Analytical Customer Relationship Management Untuk Restoran

Bisnis restoran merupakan suatu bisnis yang cukup kompetitif. Dewasa ini, persaingan dalam bisnis ini bukan hanya berdasarkan rasa dan tampilan dari produk (makanan atau minuman) yang ditawarkan, tetapi juga berdasarkan keunikan konsep yang membangun keunggulan tersendiri dari restoran tersebut di mata konsumen. Dengan keunggulan tersebut, restoran berharap untuk dapat menarik konsumen untuk menjadi pelanggan. Untuk mencapai tujuan ini, salah satu pendekatan yang sering digunakan adalah Customer Relationship Management (CRM).Tantangan yang muncul adalah bagaimana menyusun suatu CRM yang dapat membantu restoran untuk menganalisa proses bisnisnya, termasuk menganalisa bagaimana perilaku pelanggan. Dengan hasil analisa yang mendalam, pramusaji dan kasir dari restoran dapat mempunyai peluang yang lebih besar dalam menciptakan hubungan emosional yang positifdengan pelangan. Analisa seperti ini tidak dihasilkan oleh operational CRM yang sudah umum diimplementasikan dalam bisnis restoran. Pertanyaan yang muncul adalah bagaimana membangun suatu analytical CRM yang mampu menjawab kebutuhan para pelaku di bisnis restoran.Penelitian ini bersifat eksploratif dengan menggunakan kombinasi data kualitatif dan kuantitatif. Studi kasus terhadap tiga restoran menjadi dasar dari penelitian ini. Dengan menggunakan kombinasi pendekatan wawancara, studi dokumen, observasi, dan kuesioner, formula CRM yang sesuai dengan karakteristik restoran dan konsumen di Indonesia diharapkan dapat dihasilkan. Penelitian ini mengusulkan konsep analytical CRM untuk diterapkan di ketiga restoran tersebut. Adapun tujuan penerapan analytical CRM adalah agar pebisnis dapat mendapatkan hasil yang lebih optimal dalam menerapkan CRM

The effect of digital marketing on customer relationship management in the education sector: Peruvian case

The objective of the research was to determine the impact of Digital Marketing on customer relationship management (CRM) in an educational institution in central Peru. The study was carried out from the quantitative approach, with a non-experimental correlational transactional research design. A questionnaire was applied to 228 parents between the ages of 30 and 50 who belong to an educational institution in the city of Concepción in Peru. Using the structural equations model, it was found that Content Marketing has a significant influence on the operational management of customer relationships (p <0.05), as well as on the analytical management of customer relationships (p <0.05). Regarding the Marketing of social networks, it was identified that it has a significant influence on the operational management of customer relationships (p <0.05), as well as on the analytical management of customer relationships (p <0, 05), because the media used by educational institutions are attractive to parents. It is concluded that Digital Marketing has a great impact on customer relationship management (CRM) in the educational sector of a city in central Peru

Understanding of Contruct indicators forming dimensions of Business Strategy and Customer Relationship Management in Industry Revolution 4.0

This paper aims to explain various business strategies in customer relationship management in the 4.0 industrial revolution. This study uses a qualitative approach with the research method used as descriptive analytical. The data processing technique used in this study is library research, which is done by reading books and literary journals on Business Strategy, Customer Relations Management, and Industrial Revolution 4.0. This paper is to instill a business strategy in customer relationship management in the 4.0 industrial revolution

The Influence of Bank Image, Accessibility, and Customer Relationship Management on Customer Satisfaction and Loyalty at Islamic Banks in Makassar City

Purpose:  To test and analyze partially the effect of bank image, accessibility, and customer relationship management on customer satisfaction at Islamic banks in Makassar City. To test and analyze the partial effect of bank image, accessibility, and customer relationship management on customer loyalty through customer satisfaction at Islamic banks in Makassar City.   Theoretical framework: To test and analyze partially the effect of bank image, accessibility, customer relationship management, and customer satisfaction on customer loyalty at Islamic banks in Makassar City   Design/Methodology/Approach:  The population is 145,280 customers, and the sample is 400 customers. Methods of data collection using a questionnaire. The sample collection method is purposive sampling. The analytical method uses the Structural Equation Model (SEM).   Findings:  The results of the study show that: Bank image, accessibility, and customer relationship management partially have a positive and significant effect on customer satisfaction at Islamic banks in Makassar City. Bank image, customer relationship management, and customer satisfaction partially have a positive and significant effect on customer loyalty at Islamic banks in Makassar City.   Research, Practical &amp; Social implications:  Accessibility has a positive and insignificant effect on customer loyalty at Islamic Banks in Makassar City. Bank image, accessibility, and customer relationship management partially have a positive and significant effect on customer loyalty through customer satisfaction at Islamic banks in Makassar City.   Originality/Value: Loyal customers do not make accessibility the main factor in creating a loyal attitude but prioritize the image of Islamic Banks and Customer Relationship Management as factors that contribute significantly directly to loyalty

Pengaruh Customer Relationship Management (Crm) Terhadap Customer Satisfaction Dan Customer Loyalty Pada Pelanggan Matahari Department Store

This study was conducted to determine the effect Benefits of Customer Relationship Management and Customer satisfation to Customer Loyalty in Customers Matahari Department Store. Customer relationship management (CRM) is part of a marketing strategy to get satisfaction and increase customer loyalty. CRM and customer satisfaction can encourage customer loyalty where customers do not easily switch to other companies. The population is all customers Matahari Department Store, and the sample are customers of at least 2 times shopping at Matahari Department Store and have the customer's card or MCC were selected by purposive sampling and analytical techniques used is Partial Least Square (PLS) and the Statistical product and Service Solutions (SPSS). The research proves that CRM has a positive effect on customer loyalty and customer satisfaction has positive influence on loyalty. Customer satisfaction does not affect the relationship CRM to customer loyalty

Personalised e-customer relationship management models and system

University of Technology, Sydney. Faculty of Engineering and Information Technology.Electronic Customer Relationship Management (eCRM), and analytical eCRM in particular, is currently one of the most active research topics in the area of customer marketing and customer analytics. The goal of this research is to develop an integrated analytical eCRM framework with a personalised intelligent recommendation approach through the analysis of telecom and banking products/services and customer needs. The development of the personalised recommendation approach combines two technology streams: 1) data mining techniques, which enable the prediction of customer buying behaviour patterns, and 2) fuzzy measure and community-based collaborative filtering recommendation techniques, which automatically combine the predicted buying behaviours and needs-preference requirements of customers to provide relevant and needs-based offers in an uncertain environment. The delivery of this framework effectively improve the quality of customer relationship management in terms of reducing the cost of customer acquisition, increasing customer retention and maximising customer lifetime value, which will enable and support a business strategy to build a long-term, profitable relationship with specific customers. The research contributes to both recommender system research and eCRM research and develops frontier technologies that can be applied across industries