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Black Friday, the biggest shopping day of the year, presents a unique opportunity for retailers like Walmart to boost sales, attract new customers, and clear inventory. Managing the surge in transaction volumes, understanding customer preferences, and optimizing inventory in real time are critical challenges that require sophisticated data solution

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sachin413/Walmart-back-friday-sales-analysis

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Walmart-back-friday-sales-analysis

Black Friday, the biggest shopping day of the year, presents a unique opportunity for retailers like Walmart to boost sales, attract new customers, and clear inventory. Managing the surge in transaction volumes, understanding customer preferences, and optimizing inventory in real time are critical challenges that require sophisticated data solutions.

Objectives:

Develop a real-time data warehousing solution that ingests, processes, and visualizes sales data from Walmart's Black Friday event. This solution should provide insights into sales performance, customer behavior, and inventory levels to enable data-driven decision-making for inventory management, marketing strategies, and customer experience enhancement.

Requirement:

1.Design and implement a data warehouse to ingest real-time sales and inventory data. 2.Develop dashboards for key metrics

Technologies used:

Programming Language: Python GCP services: Pub-sub,Cloud storage,Dataflow Data warehousing service:Big Query Data visualisation tool: GCP looker

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Black Friday, the biggest shopping day of the year, presents a unique opportunity for retailers like Walmart to boost sales, attract new customers, and clear inventory. Managing the surge in transaction volumes, understanding customer preferences, and optimizing inventory in real time are critical challenges that require sophisticated data solution

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