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View the entire analysis and code here - If you're interested about the topic.

Olist Project

The analysis has the contributions of Nguyen Tien Dung and Dao Phuong The Luan

Data source: https://www.kaggle.com/olistbr/brazilian-ecommerce


About Olist

Olist is a Brazilian e-commerce startup marketplace integrator, founded in 2015, with the mission of connecting small businesses to larger product marketplaces to help entrepreneurs sell their products to a larger customer base


About Dataset

The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allows viewing an order from multiple dimensions: from order status, price, payment and freight performance to customer location, product attributes and finally reviews written by customers. We also released a geolocation dataset that relates Brazilian zip codes to lat/lng coordinates.

This is real commercial data, it has been anonymised, and references to the companies and partners in the review text have been replaced with the names of Game of Thrones great houses.


Big Question:

🌠 How to increase the number of orders for Olist?

  1. Key business strategy
  2. High quality customer experience -> Delivery

💫 Challenge

  1. Define question: Lack of domain knowledge makes our's big question not completely logical but still have holes, the big question is also too broad to analyze.

    Solution: Get suggestions from seniors and learn from experience.

  2. Teamwork: Working together for the first time, team members do not have a good relationship in communication and exchange of ideas, making the analysis not linked well.

    Solution: Should discuss at the end of the working day what has been done, talk about your ideas so that other members can gradually grasp and can help each other correct mistakes in logic or coding.

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Brazilian E-Commerce Analytic

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