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Analise das vendas de uma pizzaria

Feita no Excel e SQL

Sumário

  • Análise com o objetivo de saber os sabores, tamanhos e dias que mais vendem.

Metas

  • Aumentar o faturamento e conseguir vender em dias de baixa procura.

Dataset

Captura de tela 2024-05-21 214043

  • O dataset contém as seguintes informações:
    • 11 colunas e 49.621 linhas

Metodologia

  • Fiz algumas queries no SQL para obter informações relevantes e precisas, depois utilizei o Excel para a criação de KPIs e dashboard.

SQL

  • Visão geral das queries

Captura de tela 2024-05-21 215125

Queries detalhadas

Valor total das vendas

  • select SUM(total_price) AS Total_Revenue FROM pizza_sales

Captura de tela 2024-05-21 221111

Média do valor dos pedidos

  • select SUM(total_price) / COUNT(distinct order_id) as Avg_Order_Value from pizza_sales

Captura de tela 2024-05-21 221120

Quantidade de total pizzas vendidas

  • select SUM(quantity) as Total_pizza_sold from pizza_sales

Captura de tela 2024-05-21 221127

Quantidade de pedidos

  • select COUNT(DISTINCT order_id) as Total_Orders from pizza_sales

Captura de tela 2024-05-21 221133

Média de pizzas por pedido

  • select cast(CAST(sum(quantity) as decimal(10,2)) / CAST(count(distinct order_id) as decimal(10,2)) as decimal(10,2)) AS Avg_Pizza_Per_Order from pizza_sales

Captura de tela 2024-05-21 221140

Pedidos diários

  • select DATENAME(DW, order_date) as order_day, COUNT(distinct order_id) as total_orders from pizza_sales group by datename(DW, order_date)

Captura de tela 2024-05-21 222057

Horários dos pedidos

  • select DATEPART(hour, order_time) as order_hours, COUNT(distinct order_id) as Total_Orders from pizza_sales group by DATEPART(hour, order_time) order by datepart(hour, order_time)

Captura de tela 2024-05-21 221156

% de vendas das categorias

  • select pizza_category, cast(sum(total_price) AS DECIMAL(10,2)) as Total_Sales, CAST(sum(total_price) * 100 / (select sum(total_price) from pizza_sales) AS decimal(10,2)) as PCT from pizza_sales group by pizza_category

Captura de tela 2024-05-21 221200

% de vendas dos tamanhos das pizzas

  • select pizza_size, CAST(SUM(total_price) AS DECIMAL(10,2)) as Total_Sales, CAST(SUM(total_price) * 100 / (SELECT SUM(total_price) from pizza_sales) AS DECIMAL(10,2)) AS PCT from pizza_sales group by pizza_size order by pizza_size

Captura de tela 2024-05-21 221214

Quantidade de pizza vendidas por categoria

  • select pizza_category, SUM(quantity) as Total_Quantity_Sold from pizza_sales where MONTH(order_date) = 2 group by pizza_category order by Total_Quantity_Sold DESC

Captura de tela 2024-05-21 221219

As 5 pizzas mais vendidas

  • select top 5 pizza_name, SUM(quantity) as Total_Pizza_Sold from pizza_sales group by pizza_name order by Total_Pizza_Sold DESC

Captura de tela 2024-05-21 221223

As 5 pizzas menos vendidas

-select top 5 pizza_name, Sum(quantity) as Total_Pizza_Sold from pizza_sales group by pizza_name order by Total_Pizza_Sold ASC

Captura de tela 2024-05-21 221228

Excel

No Excel eu criei as KPI's e tabelas dinâmicas para maior fluidez na vizualição

E assim ficou o dashboard!

Captura de tela 2024-05-25 132525

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