seby-sbirna/Customer-Insights-and-Business-Intelligence-upon-the-Japanese-restaurant-industry-in-Toronto-Canada
This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics
This project provides detailed business intelligence and customer insights for the Japanese restaurant industry in Toronto. It takes raw Yelp dataset information and processes it to deliver actionable recommendations for restaurant owners and strategic insights for investors. Restaurant owners can understand customer behavior and competitor landscapes, while investors can assess market viability and predict restaurant success or failure.
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Use this if you are a Japanese restaurant owner in Toronto looking for data-driven strategies to improve operations, understand customer sentiment, or identify competitors, or if you are an investor evaluating the Toronto restaurant market.
Not ideal if you need insights for a different geographic area, a different cuisine type, or if you do not have access to the full Yelp dataset for re-running the analysis.
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Feb 14, 2021
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