A STUDY AND IMPLEMENTATION ON DATA MINING TECHNOLOGY AND APPLICATIONS FOR ANALYSIS ON SALES PRODUCTIVITY
DOI:
https://doi.org/10.61841/gr7bmd85Keywords:
Technology, Sales, Amway, Products, Business ProcessAbstract
This project focuses on the study of Data Mining technology and implementation of product sales predictive analysis for Amway (M). Certain parts have been adopted to enumerate the grounds of study, where at this stage mainly books, journals and articles on the Internet about Data Mining, as well as interviews and observations have been performed to gather the data of Amway (M). After the collection of data, model was developed to interpret the significance of results performed on the basis of such data by integrating automation, visual representation and predictive analysis into business processes, companies can enhance the efficiency and accuracy of decision making by appropriate methodology. Lastly, regarding this project the author has learned a lot upon the completion of it. It has been, thus, a very satisfactory and fruitful journey of completing this project. Generally, this whole project needs to be polished to have a better effect.
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References
[1] Ahamed, B. B., & Hariharan, S. (2011). A survey on distributed data mining process via grid. International Journal of Database Theory and Application, 4(3), 77-90.
[2] Anderson, J., & Kotsiopulos, A. (2002). Enhanced decision making using data mining: applications for retailers. Journal of Textile and Apparel, Technology and Management, 2(3), 1-13.
[3] Bose, R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems.
[4] Cabena, P., Choi, H. H., Kim, I. S., Otsuka, S., Reinschmidt, J., & Saarenvirta, G. (1999). Intelligent miner for data applications guide. IBM RedBook SG24-5252-00, 173.
[5] Chen, M.-S., Han, J., & Yu, P. S. (1996). Data mining: an overview from a database perspective. IEEE Transactions on Knowledge and data Engineering, 8(6), 866-883.
[6] De Silva A.D.A., Khatibi A., Azam S.M.F. (2018a). Can parental involvement mitigate swing away from science?
Sri Lankan perspectives, Cogent Education
[7] De Silva A.D.A., Khatibi A., Azam, S. M. F. (2018b). Do the Demographic Differences Manifest in Motivation to Learn Science and Impact on Science Performance? Evidence from Sri Lanka, International Journal of Science and Mathematics Education
[8] Delafrooz N., Paim L.H., Khatibi A. (2009). Developing an instrument for measurement of attitude toward online shopping, European Journal of Social Sciences
[9] Deshpande, S., & Thakare, V. (2010). Data mining system and applications: A review. International Journal of Distributed and Parallel systems (IJDPS), 1(1), 32-44.
[10] Dewi N.F., Azam, S. M. F., Yusoff S.K.M. (2019). Factors influencing the information quality of local government financial statement and financial accountability, Management Science Letters
[11] Dhond, A., Gupta, A., & Vadhavkar, S. (2000). Data mining techniques for optimizing inventories for electronic commerce. Paper presented at the Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining.
[12] Doa N.H., Tham J., Khatibi A.A., Azam S.M.F. (2019). An empirical analysis of Cambodian behavior intention towards mobile payment. Management Science Letters
[13] Eze, U., Onwuegbuchulam, C., Ugwuishiwu, C., & Diala, S. (2017). Application of data mining in telecommunication industry. International Journal of Physical Sciences, 12(6), 74-88.
[14] Gong, H., & Xia, Q. (2009). Study on application of customer segmentation based on data mining technology. Paper presented at the 2009 ETP International Conference on Future Computer and Communication.
[15] Han, J., Pei, J., & Kamber, M. (2011). Data mining: concepts and techniques: Elsevier.
[16] Hui, S. C., & Jha, G. (2000). Data mining for customer service support. Information & Management, 38(1), 1-13.
[17] Khajvand, M., Zolfaghar, K., Ashoori, S., & Alizadeh, S. (2011). Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study. Procedia Computer Science, 3, 57-63.
[18] Koh, H. C., & Tan, G. (2011). Data mining applications in healthcare. Journal of healthcare information management, 19(2), 65.
[19] Köksal, G., Batmaz, İ., & Testik, M. C. (2011). A review of data mining applications for quality improvement in manufacturing industry. Expert systems with applications, 38(10), 13448-13467.
[20] Linoff, G. S., & Berry, M. J. (2011). Data mining techniques: for marketing, sales, and customer relationship management: John Wiley & Sons.
[21] Maghfuriyah A., Azam, S. M. F., Shukri S. (2019). Market structure and Islamic banking performance in Indonesia:
An error correction model, Management Science Letters
[22] Massaro, A., Maritati, V., & Galiano, A. (2018). Data Mining model performance of sales predictive algorithms based on RapidMiner workflows. International Journal of Computer Science & Information Technology (IJCSIT), 10(3), 39-56.
[23] Nemati, H. R., & Barko, C. D. (2001). Issues in organizational data mining: A survey of current practices. Journal of data warehousing, 6(1), 25-36.
[24] Nemati, H. R., & Barko, C. D. (2003). Key factors for achieving organizational data-mining success. Industrial Management & Data Systems, 103(4), 282-292.
[25] Ngai, E. W., Xiu, L., & Chau, D. C. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications, 36(2), 2592-2602.
[26] Nguyen H.N., Tham J., Khatibi A., Azam S.M.F. (2019). Enhancing the capacity of tax authorities and its impact on transfer pricing activities of FDI enterprises in Ha Noi, Ho Chi Minh, Dong Nai, and Binh Duong province of Vietnam , Management Science Letters
[27] Nikhashemi S.R., Paim L., Haque A., Khatibi A., Tarofder A. K. (2013). Internet technology, Crm and customer loyalty: Customer retention and satisfaction perspective , Middle East Journal of Scientific Research
[28] Nikhashemi S.R., Valaei N., Tarofder A. K. (2017). Does Brand Personality and Perceived Product Quality Play a Major Role in Mobile Phone Consumers’ Switching Behaviour? Global Business Review
[29] Olson, D. L., & Delen, D. (2008). Advanced data mining techniques: Springer Science & Business Media.
[30] Pambreni Y., Khatibi A., Azam, S. M. F., Tham J. (2019). The influence of total quality management toward organization performance, Management Science Letters
[31] Pathiratne S.U., Khatibi A., Md Johar M.G. (2018). CSFs for Six Sigma in service and manufacturing companies: an insight on literature, International Journal of Lean Six Sigma
[32] Rachmawati D., Shukri S., Azam, S. M. F., Khatibi A. (2019). Factors influencing customers’ purchase decision of residential property in Selangor, Malaysia , Management Science Letters
[33] Rygielski, C., Wang, J.-C., & Yen, D. C. (2002). Data mining techniques for customer relationship management. Technology in society, 24(4), 483-502.
[34] Seifert, J. W. (2004). Data mining: An overview. National security issues, 201-217.
[35] Seneviratne K., Hamid J.A., Khatibi A., Azam F., Sudasinghe S. (2019). Multi-faceted professional development designs for science teachers' self-efficacy for inquiry-based teaching: A critical review, Universal Journal of Educational Research
[36] Shmueli, G., Patel, N. R., & Bruce, P. C. (2011). Data mining for business intelligence: Concepts, techniques, and applications in Microsoft Office Excel with XLMiner: John Wiley and Sons.
[37] Singh, H. (2012). Implementation Benefit to Business Intelligence using Data Mining Techniques. International Journal of Computing & Business Research, Proceedings of „I-Society.
[38] Sudari S.A., Tarofder A.K., Khatibi A., Tham J. (2019). Measuring the critical effect of marketing mix on customer loyalty through customer satisfaction in food and beverage products, Management Science Letters
[39] Sumathi, S., & Sivanandam, S. (2006). Introduction to data mining and its applications (Vol. 29): Springer.
[40] Tarofder A.K., Azam S.M.F., Jalal A. N. (2017). Operational or strategic benefits: Empirical investigation of internet adoption in supply chain management, Management Research Review
[41] Tarofder A.K., Haque A., Hashim N., Azam, S. M. F., Sherief S. R. (2019). Impact of ecological factors on nationwide supply chain performance, Ekoloji
[42] Tarofder A.K., Jawabri A., Haque A., Azam S.M.F., Sherief S.R. (2019). Competitive advantages through it-enabled supply chain management (SCM) context, Polish Journal of Management Studies
[43] Tarofder A.K., Nikhashemi S.R., Azam S. M. F., Selvantharan P., Haque A. (2016). The mediating influence of service failure explanation on customer repurchase intention through customers’ satisfaction, International Journal of Quality and Service Sciences
[44] Tsai, H.-H. (2012). Global data mining: An empirical study of current trends, future forecasts and technology diffusions. Expert systems with applications, 39(9), 8172-8181.
[45] Udriyah, Tham J., Azam, S. M. F. (2019). The effects of market orientation and innovation on competitive advantage and business performance of textile SMEs, Management Science Letters
[46] Ulfah R., Amril Jaharadak A., Khatibi A.A. (2019). Motivational factors influencing MSU accounting students to become a certified public accountant (CPA), Management Science Letters
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