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AdvancedDatabaseTopics - COMP 8157 - Final Project

Project Overview This project uses Tableau dashboards to embrace dynamic visualization in order to maximize the use of Key Performance Indicators (KPIs). Data-driven decisions are hampered by the present KPI computation method, which relies on static scripts. We offer a solution to this problem that combines dynamic KPI presentation with pertinent data and makes use of statistical methods to guarantee the accuracy of the data. The project focuses on the sales industry and provides stakeholders with an interactive platform, precise KPI computation, and thorough data pretreatment. As a result, businesses gain instantaneous insights, shorter processing times, and better data-driven decision-making.

Following are the links to Dataset reference, Google Colab, Published Dashboard(on Tableau), GitHub(where all the files are uploaded)

Dataset Used - Global Super Store Dataset https://www.kaggle.com/datasets/apoorvaappz/global-super-store-dataset

Python Code Link for Google Colab: https://colab.research.google.com/drive/1ZyDiI9LmBmCtsk8j2RcuFYNMgYcl-ZJT?usp=sharing

Published Dashboard in Tableau

Dashboard 1: https://public.tableau.com/app/profile/harbhajan.singh/viz/Rational-ADT-SalesProductOverview/RetailDataAnalysisOverview?publish=yes

Dashboard 2: https://public.tableau.com/app/profile/harbhajan.singh/viz/Rational-ADT-SalesProfitSalesForecast/RetailDataAnalysisProfit-Loss-ForecastingSales?publish=yes

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