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Name: Jefri Pratama
Type: User
Bio: Junior Data Analyst Sales & Marketing in RMC Company
Location: Jakata, Indonesia
Name: Jefri Pratama
Type: User
Bio: Junior Data Analyst Sales & Marketing in RMC Company
Location: Jakata, Indonesia
Dashboard to Monitoring Sales Performance in daily Basis
Transaction records for Maven Roasters, a fictitious coffee shop operating out of three NYC locations. Dataset includes the transaction date, timestamp and location, along with product-level details.
This dashboard has been created using a sample of the sales data set on Kaggle. The dashboard shows a variety of useful data: total company sales each year from 2003-2005, filterable by month and country. The dashboard also shows year-on-year sales growth data based on various criteria including month, product and region.
I'm trying to create a simple Dashboard to compare how sales are performing compared to the previous year. I would like to compare sales by region, by payment type, by top 5 products this year and by lead times by delivery type.
About Dataset Context The growth of supermarkets in most populated cities are increasing and market competitions are also high. The dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset.
About Dataset Context The growth of supermarkets in most populated cities are increasing and market competitions are also high. The dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset.
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