INPLEMENTASI BUSINESS INTELLIGENCE DAN MARKET BASKET ANALYSIS UNTUK ANALISA DATA PENJULAN DI PT. ABC

Ditengah merebaknya kasus pandemi Covid-19 pada tahun 2020 di Indonesia, terjadi perubahan kecenderungan perilaku pelanggan dalam melakukan proses transaksi belanja khususnya pada gerai minimarket. Dengan diberlakukannya pysical distancing, pelanggan dituntut untuk berbelanja seefektif mungkin untuk menghindari penumpukan di dalam gerai. Manajemen perusahaan harus membuat setrategi untuk menyikapi perubahan perilaku dari pelanggan. Pada penelitian ini dikembangkan Business Intelligence dan metode Market Basket Analysis yaitu Apriori untuk menganalisa perilaku pelanggan dengan cara menganalisa riwayat transaksi penjualan. Hasil penelitian menunjukkan dashboard Business Intelligence dapat menampilkan data dalam bentuk grafik dan tabel sehingga memudahkan pengguna dalam proses analisa. Selain itu Association Rule menggunakan metode Apriori menghasilkan nilai support dan confidence sebagai gambaran produk-produk yang saling terkait, sehingga pihak merchendaising dapat dengan mudah membuat keputusan. Hasil pengujian blackbox menunjukkan aplikasi yang dikembangkan dapat diterima oleh pengguna karena semua kebutuhan pengguna dapat diselesaikan oleh aplikasi.

Thoughts on Women Entrepreneurship: An Application of Market Basket Analysis with Google Trends Data

This paper focuses on the popularity and awareness of keywords in Google Trends data related to entrepreneurship of women in a global and cross-regional setting by using market basket analysis. Google Trends is one of the digital data platforms that provides a time series index of the volume of queries users enter into Google in a given geographic area. It is the most popular tool for gathering any information, and it has been used in several topics. Market basket analysis indicates items that appear/used together and the frequency of these appearances. Such technique is appropriate in finding hidden associations between items, which is also crucial in assessing individuals’ thoughts on a specific topic. This study contributes to the literature in terms of being the first study to use market basket analysis on Google trends data in the context of women’s entrepreneurship finding hidden associations between items, which is crucial in assessing individuals’ thoughts on a specific topic. The results of the analysis are interpreted through the lens of genderresponsive strategies, equality, efficiency and social justice in different country and region contexts.

Hybrid Customer-Centric Sales Forecasting Model Using AI ML Approaches

Business Intelligence is a process of preparing, analyzing, presenting, and maintaining the data to gain insights for the decision-makers to make informed decisions. While there are many approaches to predict the growth based on the sales figures a very few consider the influence of customer data on the forecasting and the relevance of the same while making the predictions. So, in this study, we will look at some of the existing techniques used so far to make predictions and studies used to understand the customer data. With the analysis, we shall try to devise a hybrid approach to the traditional sales prediction, which would include a customer-centric data analysis. We shall look at some of the techniques which are traditionally used in Market Basket analysis and at the same time look at the techniques like classification, segmentation, regression, etc. to get a perception of the impact of customer data on sales forecasting. We shall highlight all the pros and cons of the algorithms and try to come up with an intelligent approach that would give accurate results

MARKET BASKET ANALYSIS OF MEDICAL STORES DURING COVID19 TO DISCOVER NEW REVENUE PRODUCTS

COVID 19 pandemic has negatively affected almost all sectors of Indian economy,but few sectors like pharmaceuticals, have seen growth during this period. This has spurred sales of specific medicines and equipment in pharmacies. However,for better profit margin,pharmacies have to look beyond traditional medicines and equipment.This research helps in identifying uncommon items which can be sold along with medicines by pharmacies in Tiruvallur district for better profit margin.This is achieved through market basket analysis of transactions carried out in pharmacies.