Research on Users Marketing Strategy Based on Decision Tree

2014 ◽  
Vol 687-691 ◽  
pp. 4926-4929 ◽  
Author(s):  
Zhu Xia
Keyword(s):  
Decision Tree ◽  
Marketing Strategy ◽  
Complex Terrain ◽  
Strategy Management ◽  
Human Intervention ◽  
Customer Information ◽  
Customer Care ◽  
Competitor Analysis ◽  
Customer Classification ◽  
Almost All

While almost all businesses believe that the customer information have great value and the customer information have been regarded as an important business resources ,most enterprises are still lack of effective management in fact. In this paper, the necessity of building based on the decision tree customer information management is discussed by analyzing the current situation and problems .The main functions of the customer marketing strategy management system are discussed and the core process such as customer classification, customer care and competitor analysis is analyzed. The design and implementation of the decision tree provides the possibility of human intervention in the marketing strategy. In classification, if the human intervention and the mathematical theory are combined, especially in more complex terrain areas, which will help improve the accuracy of classification. Finally, the detailed marketing strategy is realized and conclusions are reached.

scholarly journals Hotel Marketing Strategy in Biak Papua to Survive During the Covid-19 Pandemic

2021 ◽  
Vol 4 (2) ◽  
pp. 319
Author(s):  
Andi Sahat Maasi Sigalingging ◽  
Dominggus Rudolf Leiwakabessy
Keyword(s):  
Marketing Strategy ◽  
Online News ◽  
Tourism Industry ◽  
Marketing Strategies ◽  
Service Companies ◽  
Analytical Strategies ◽  
Almost All ◽  
Product Strategies ◽  
The Impact ◽  
Hotel Marketing

 The pandemic has paralyzed global tourism. In Biak Papua, the impact of the pandemic on the tourism industry is enormous. Almost all hotels stop operating, even if one is open, that also opens up for the quarantine of Covid sufferers. This article examines the condition of hotels in Biak and the survival marketing strategies adopted during the outbreak. This research uses a descriptive qualitative approach using in-depth interviews and literature studies on books, scientific journals, and online news. This study focuses on Basana Inn and Manna Inn, on the grounds of the level of representation of the Jasmine Hotel and customer types. The research results show that the impact of the pandemic has resulted in almost empty hotel occupancy. The strategy carried out is almost the same, namely by terminating employees permanently and temporarily, limiting the use of hotel facilities, spending efficiency, selling non-room products online, and refusing to refund bookings by changing visit schedules. During the Covid 19 pandemic, a marketing strategy is very important to do. In obtaining optimal results, strategies in marketing are carried out which have a very broad scope, including analytical strategies to face competition, price strategies, product strategies, service strategies and so on. The Covid 19 outbreak has given service companies a sense of worry or discomfort, especially the Basana Inn Hotel which is engaged in accommodation services. Seeing the results of the identification of problems in this study, researchers are interested in researching the title "Hotel Marketing Strategies in Biak Papua to Survive the Covid-19 Pandemic." The purpose of this research is to find out and analyze the most appropriate strategy in the Covid 19 Pandemic situation.

scholarly journals EMPLOYEE PERFORMANCE APPRAISAL SYSTEM BASED ON RANKING AND REVIEWS

2017 ◽  
Vol 10 (13) ◽  
pp. 495
Author(s):  
Ashish Modi ◽  
Sharath Kumar J ◽  
Sharath Kumar J ◽  
Sharath Kumar J ◽  
Muralidhar A ◽  
...  
Keyword(s):  
Decision Tree ◽  
Performance Appraisal ◽  
Employee Performance ◽  
Human Intervention ◽  
Appraisal System ◽  
Good Decision ◽  
Performance Appraisal System ◽  
Using Data ◽  
Employee Needs ◽  
Employee Data

Objective: In many organizations, employee data have to be maintained and utilized for many purposes. Here, in this paper, we are going to use such data to calculate an employee’s performance.Methods: This employee data may be converted into useful information using data mining techniques such as K-means and decisions tree. K-means is used to find the rank of the employee means that the employee may come under in his criteria. Decision tree is used to find the review of an employee means that the employee needs improvement or he/she meets expectation.Results: This algorithm when utilized can identify the top employee who can be considered for appraisal or the eligible candidates for promotion. Hence, these algorithms such as K-mean and decision tree that help to find best employees for any association and help us to take a good decision in less time.Conclusion: There are various factors which should be considered and are limited to this algorithm, so human intervention is required to consider those factors. However, ranking and appraisal are seen in many companies, and this algorithm will definitely identify the potential candidates.

Analysis of Customer Behavior in Automatic Investment Plan Based on Decision Tree

2014 ◽  
Vol 644-650 ◽  
pp. 5741-5744
Author(s):  
Li Huo ◽  
Bo Jiang ◽  
Ya Xin Liu
Keyword(s):  
Decision Tree ◽  
Service Quality ◽  
Marketing Strategy ◽  
Customer Behavior ◽  
Investment Plan ◽  
Id3 Algorithm ◽  
Basic Ideas ◽  
Improve Service Quality

Firstly, this paper introduces the decision tree and then the basic ideas and implementation methods of ID3 algorithm are discussed. Next, processes the data of customer behavior in the AIP business based on ID3 and constructs the decision tree meanwhile the rules are established. Finally, gives the results of the prediction and advices on how to design marketing strategy of fund business. This study can be used to make marketing strategy for fund companies and improve service quality of fund companies consequently.

scholarly journals Customer’s Perception and Preference towards Packaged Drinking Water

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Minyahel Tilahun ◽  
Melaku Beshaw
Keyword(s):  
Drinking Water ◽  
Health Status ◽  
Sex Education ◽  
Addis Ababa ◽  
Market Place ◽  
Systematic Analysis ◽  
Customer Information ◽  
Data Collection Process ◽  
Average Monthly Income ◽  
Almost All

Two hundred customers were purposively selected from two study areas (market, residence) in Addis Ababa to assess customer’s behavior and perception towards packaged water. The sampling and data collection process of the study followed systematic analysis of Theory Planned Behavior. The average monthly income of respondents of this study lay between 5000 ($175) and 10000 ($350) Eth Birr. The primary customer information sources were television and radio. Residence place customers were more concerned about health as compared to market place customers. Market place customers primarily gave emphasis to the price of packaged water. Almost all (97%) customers were not sentient to packaged water standards. However, only few, 86 (43%), customers checked labeled chemical composition, of which 74 (85%) did not understand it. Customer’s sex, education level, and health status showed significant relationship with choice of packaged water quality, −1.42 (p<0.05); price, −2.45 (p<0.01); and health status, –1.80 (p<0.05) in market place and residence place, respectively. Customers were not well aware of what they were purchasing and even customer’s ability to read was not related to customer’s ability to understand what was written in the labels. Customers’ choice of packaged drinking water has been challenged by their health status. Customers are becoming more concerned about prices while they are out of their residence place.

scholarly journals Buying Customer Classification in Automotive Corporation with Decision Tree

2010 ◽  
Vol 10 (2) ◽  
pp. 372-380
Author(s):  
Byoung-Yup Lee ◽  
Yong-Hoon Park ◽  
Jae-Soo Yoo
Keyword(s):  
Decision Tree ◽  
Customer Classification

scholarly journals MANAJEMEN STRATEGIK PEMASARAN PENDIDIKAN BERBASIS MEDIA SOSIAL DI MADRASAH ALIYAH YAYASAN PONDOK PESANTREN BABAKAN JAMANIS PARIGI PANGANDARAN

2020 ◽  
Vol 3 (2) ◽  
pp. 120-128
Author(s):  
Neneng Nurmalasari ◽  
Imas Masitoh
Keyword(s):  
Social Media ◽  
Marketing Strategy ◽  
Industrial Revolution ◽  
Strategy Management ◽  
Educational Marketing ◽  
The Social ◽  
Marketing Tool ◽  
Use Of Social Media ◽  
The Right ◽  
Depth Interviews

This study describes an overview of the use of social media as a management marketing strategy at Madrasah Aliyah Yayasan Pondok Pesantren Babakan Jamanis. The benefits of social media as a marketing tool in the world of education in the era of the 4.0 industrial revolution are the right choice because it is increasingly accessible to various groups. This research is qualitative research with data collection methods through observation, in-depth interviews, and documentation. The results show that the social media-based educational marketing strategy management is used, namely: Facebook, Instagram, and Youtube by first identifying in the community which then becomes an educational marketing strategy by highlighting the achievements of these institutions. The management of private education, supported by stakeholders and adequate facilities has provided a distinctive feature and strength in the management of educational marketing strategies at Madrasah Aliyah Yayasan Pondok Pesantren Babakan Jamanis.

scholarly journals Emerging Topics in Management Studies

2020 ◽  
Author(s):  
Patrícia Pereira da Silva ◽  
Susana Jorge ◽  
Patrícia Moura e Sá
Keyword(s):  
Marketing Strategy ◽  
Strategy Management ◽  
Management Control ◽  
The World ◽  
Interdisciplinary Knowledge ◽  
Research Questions ◽  
The University ◽  
Emerging Topics ◽  
Behavioural Sciences ◽  
Management Thinking

Presently, Management has witnessed vast advancements, clearly becoming an area of trans and interdisciplinary knowledge. It has widened its scope from traditional business areas – such as marketing, strategy, management control, accounting and finance, taxation or operations – to other spaces, namely deepening bridges with behavioural sciences, engineering, health, or energy, fostering both quantitative models and methods. Management thinking at the Faculty of Economics of the University of Coimbra (FEUC) has followed these trends, enabling students with the essential skills supporting the practice of the profession, both in business and public sector organisations. This book features topical trends of research in Management studies, in which FEUC professors are involved, together with international peers, evidencing the openness of the Faculty to the world. Numerous of the subjects addressed relate to challenges that organisations are already facing or will have to deal with shortly. Therefore, the book not only presents innovative research questions, but it also delivers a practical perspective. Thus, organisations will certainly find here some support to better manage those issues in practice.

scholarly journals Prediction on Deposit Subscription of Customer based on Bank Telemarketing using Decision Tree with Entropy Comparison

2020 ◽  
Vol 4 (2) ◽  
pp. 57-66
Author(s):  
Ardytha Luthfiarta ◽  
Junta Zeniarja ◽  
Edi Faisal ◽  
Wibowo Wicaksono
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Decision Tree ◽  
Credit Card ◽  
Banking System ◽  
Decision Making Process ◽  
Data Mining Techniques ◽  
Related Information ◽  
Customer Information ◽  
Tree Algorithms

Banking system collect enormous amounts of data every day. This data can be in the form of customer information,  transaction  details,  risk profiles,   credit   card   details,   limits   and   collateral    details, compliance  Anti Money Laundering (AML) related information, trade  finance  data,  SWIFT  and  telex  messages. In addition,  Thousands  of decision  are  made in Banking system. For example, banks everyday creates credit decisions,  relationship  start  up,  investment   decisions, AML  and  Illegal  financing  related decision.  To create this decision, comprehensive review on various  reports  and drills  down  tools  provided  by the banking systems is needed.  However, this is a manual process which  is  error  prone  and  time  consuming  due  to  large volume of transactional  and historical  data available. Hence, automatic knowledge mining is needed to ease the decision making process.  This research focuses on data mining techniques to handle the mentioned problem. The technique will focus on classification method using Decision Tree algorithms.  This research provides an overview of the data mining techniques and   procedures will be performed.   It also provides   an insight   into how these techniques can be used in deposit subscription  in banking system to make a decision making process easier and more productive. Keywords - Telemarketing, bank deposit, decision tree, classification, data mining, entropy.

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