Implementation of Metapolije as a mapping tool for marketing distribution data
DOI:
https://doi.org/10.25047/ijossh.v1i3.5543Keywords:
Marketing distribution data, Demographic data, MetaPolije, Scrum development framework, Sustainable marketingAbstract
Information regarding marketing distribution data plays a crucial role for business actors in formulating their future business strategies. Marketing distribution data enables companies to perform market segmentation more accurately. By understanding the characteristics and preferences of consumers in each segment, companies can tailor their products and marketing messages to meet specific consumer needs. MetaPolije serves as an alternative solution for mapping marketing distribution data. MetaPolije is a web-based platform designed to facilitate user access. It was developed using the Scrum software development method, which consists of four main phases: planning, sprint, sprint review, and sprint retrospective. MetaPolije provides information about the profiles of objects in a given area, along with comprehensive demographic data for that area. The data visualization displays maps down to the sub-district level, which is customized according to partner requests. Similarly, the various categories of objects shown can be adjusted based on user partner requirements. The demographic data displayed comes from the Sidoarjo Regency Statistics Agency (BPS). Therefore, whenever the Sidoarjo Regency BPS releases the latest population data, the MetaPolije platform updated also. The information presented on the MetaPolije platform can be utilized by policymakers to better understand consumers and for crafting marketing strategies that are more suitable and relevant based on existing data. By utilizing MetaPolije, businesspeople gained better data visualization regarding the types of businesses currently present in a particular area. With the support of available demographic data, it can assist in making subsequent decisions related to appropriate business development policies moving forward.
References
Aguinis, H., Hill, N. S., & Bailey, J. R. (2021). Best Practices in Data Collection and Preparation: Recommendations for Reviewers, Editors, and Authors. Organizational Research Methods, 24(4), 678–693. https://doi.org/10.1177/1094428119836485
Andrus, M., Spitzer, E., Brown, J., & Xiang, A. (2021a). What We Can’t Measure, We Can’t Understand : Challenges to Demographic Data Procurement in the Pursuit of Fairness. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 249–260. https://doi.org/10.1145/3442188.3445888
Andrus, M., Spitzer, E., Brown, J., & Xiang, A. (2021b). What We Can’t Measure, We Can’t Understand : Challenges to Demographic Data Procurement in the Pursuit of Fairness. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 249–260. https://doi.org/10.1145/3442188.3445888
Buhalis, D., & Volchek, K. (2021a). Bridging Marketing Theory and Big Data Analytics: The Taxonomy of Marketing Attribution. International Journal of Information Management, 56, 102253. https://doi.org/10.1016/j.ijinfomgt.2020.102253
Buhalis, D., & Volchek, K. (2021b). Bridging Marketing Theory and Big Data Analytics: The Taxonomy of Marketing Attribution. International Journal of Information Management, 56, 102253. https://doi.org/10.1016/j.ijinfomgt.2020.102253
Chou, S.-F., Horng, J.-S., Sam Liu, C.-H., & Lin, J.-Y. (2020a). Identifying the Critical Factors of Customer Behavior: An Integration Perspective of Marketing Strategy and Components of Attitudes. Journal of Retailing and Consumer Services, 55, 102113. https://doi.org/10.1016/j.jretconser.2020.102113
Chou, S.-F., Horng, J.-S., Sam Liu, C.-H., & Lin, J.-Y. (2020b). Identifying the Critical Factors of Customer Behavior: An Integration Perspective of Marketing Strategy and Components of Attitudes. Journal of Retailing and Consumer Services, 55, 102113. https://doi.org/10.1016/j.jretconser.2020.102113
Dash, G., Kiefer, K., & Paul, J. (2021). Marketing-to-Millennials: Marketing 4.0, Customer Satisfaction and Purchase Intention. Journal of Business Research, 122, 608–620. https://doi.org/10.1016/j.jbusres.2020.10.016
Du, R. Y., Netzer, O., Schweidel, D. A., & Mitra, D. (2021a). Capturing Marketing Information to Fuel Growth. Journal of Marketing, 85(1), 163–183. https://doi.org/10.1177/0022242920969198
Du, R. Y., Netzer, O., Schweidel, D. A., & Mitra, D. (2021b). Capturing Marketing Information to Fuel Growth. Journal of Marketing, 85(1), 163–183. https://doi.org/10.1177/0022242920969198
Hema, V., Thota, S., Naresh Kumar, S., Padmaja, C., Rama Krishna, C. B., & Mahender, K. (2020). Scrum: An Effective Software Development Agile Tool. IOP Conference Series: Materials Science and Engineering, 981(2), 022060. https://doi.org/10.1088/1757-899X/981/2/022060
Ilias, S., & Farid Shamsudin, M. (2020). Customer Satisfaction and Business Growth. Journal of Undergraduate Social Science and Technology, 2(2).
Kotras, B. (2020a). Mass Personalization: Predictive Marketing Algorithms and the Reshaping of Consumer Knowledge. Big Data & Society, 7(2), 205395172095158. https://doi.org/10.1177/2053951720951581
Kotras, B. (2020b). Mass Personalization: Predictive Marketing Algorithms and the Reshaping of Consumer Knowledge. Big Data & Society, 7(2), 205395172095158. https://doi.org/10.1177/2053951720951581
Lim, W. M., Kumar, S., Pandey, N., Verma, D., & Kumar, D. (2023). Evolution and Trends in Consumer Behaviour: Insights from Journal of Consumer Behaviour. Journal of Consumer Behaviour, 22(1), 217–232. https://doi.org/10.1002/cb.2118
Moinuddin, M., Usman, M., & Khan, R. (2024). Decoding Consumer Behavior: The Role of Marketing Analytics in Driving Campaign Success. International Journal of Advanced Engineering Technologies and Innovations, 01, 4.
Nyembe, F. H., van der Poll, J. A., & Lotriet, H. H. (2023, August 19). Formal Methods for an Agile Scrum Software Development Methodology. Proceedings of the International Conference on Advanced Technologies. https://doi.org/10.58190/icat.2023.35
Pallant, J. I., Pallant, J. L., Sands, S. J., Ferraro, C. R., & Afifi, E. (2022). When and How Consumers Are Willing to Exchange Data with Retailers: An Exploratory Segmentation. Journal of Retailing and Consumer Services, 64, 102774. https://doi.org/10.1016/j.jretconser.2021.102774
Purbaningtyas, R., Widianta, M. M. D., & Albaab, M. R. U. (2024). Cloud-based Metabase GIS Data Analysis Platform Quality Management According to ISO 9126 Indicators. JURNAL INFOTEL, 16(1). https://doi.org/10.20895/infotel.v16i1.1041
Shah, D., & Murthi, B. P. S. (2021a). Marketing in A Data-driven Digital World: Implications for the Role and Scope of Marketing. Journal of Business Research, 125, 772–779. https://doi.org/10.1016/j.jbusres.2020.06.062
Shah, D., & Murthi, B. P. S. (2021b). Marketing in A Data-driven Digital World: Implications for the Role and Scope of Marketing. Journal of Business Research, 125, 772–779. https://doi.org/10.1016/j.jbusres.2020.06.062
Sheth, J. N., & Parvatiyar, A. (2021a). Sustainable Marketing: Market-Driving, Not Market-Driven. Journal of Macromarketing, 41(1), 150–165. https://doi.org/10.1177/0276146720961836
Sheth, J. N., & Parvatiyar, A. (2021b). Sustainable Marketing: Market-Driving, Not Market-Driven. Journal of Macromarketing, 41(1), 150–165. https://doi.org/10.1177/0276146720961836
Varadarajan, R. (2020a). Customer Information Resources Advantage, Marketing Strategy and Business Performance: A Market Resources Based View. Industrial Marketing Management, 89, 89–97. https://doi.org/10.1016/j.indmarman.2020.03.003
Varadarajan, R. (2020b). Customer Information Resources Advantage, Marketing Strategy and Business Performance: A Market Resources Based View. Industrial Marketing Management, 89, 89–97. https://doi.org/10.1016/j.indmarman.2020.03.003
Yoseph, F., Ahamed Hassain Malim, N. H., Heikkilä, M., Brezulianu, A., Geman, O., & Paskhal Rostam, N. A. (2020). The Impact of Big Data Market Segmentation Using Data Mining and Clustering Techniques. Journal of Intelligent & Fuzzy Systems, 38(5), 6159–6173. https://doi.org/10.3233/JIFS-179698
