I partnered with a clothing store to build a customized Power BI Sales Dashboard that brought together sales data from Amazon and SharePoint, giving them an in-depth view of their business performance and enabling faster, smarter decisions.
I partnered with a clothing store to build a customized Power BI Sales Dashboard that brought together sales data from Amazon and SharePoint, giving them an in-depth view of their business performance and enabling faster, smarter decisions.
I partnered with a clothing store to build a customized Power BI Sales Dashboard that brought together sales data from Amazon and SharePoint, giving them an in-depth view of their business performance and enabling faster, smarter decisions.
I partnered with a clothing store to build a customized Power BI Sales Dashboard that brought together sales data from Amazon and SharePoint, giving them an in-depth view of their business performance and enabling faster, smarter decisions.
Data scattered across Amazon and SharePoint made it hard to get a clear
view of business performance.
Spending too much time manually pulling and merging data, which caused delays and errors.
No real-time insights slowed decision-making in a fast-paced eCommerce environment.
Spending too much time manually pulling and merging data, which caused delays and errors.
No real-time insights slowed decision-making in a fast-paced eCommerce environment.
Data scattered across Amazon and SharePoint made it hard to get a clear view of business performance.
Spending too much time manually pulling and merging data, which caused delays and errors.
No real-time insights slowed decision-making in a fast-paced eCommerce environment.
Data scattered across Amazon and SharePoint made it hard to get a clear view of business performance.
Spending too much time manually pulling and merging data, which caused delays and errors.
No real-time insights slowed decision-making in a fast-paced eCommerce environment.
The dashboard provided a clear breakdown of sales from Shipping State, Order Status, Monthly Sales, Units Sold, and more.
A detailed product-level analysis allowed the client to track which clothing items were best-sellers and which required restocking.
I incorporated demographic and purchasing data from Amazon, enabling the client to fine-tune their marketing strategies based on customer behavior.
Sales data was automatically updated daily, eliminating manual data entry and reducing errors.
The dashboard provided a clear breakdown of sales from Shipping State, Order Status, Monthly Sales, Units Sold, and more.
A detailed product-level analysis allowed the client to track which clothing items were best-sellers and which required restocking.
I incorporated demographic and purchasing data from Amazon, enabling the client to fine-tune their marketing strategies based on customer behavior.
Sales data was automatically updated daily, eliminating manual data entry and reducing errors.
The dashboard provided a clear breakdown of sales from Shipping State, Order Status, Monthly Sales, Units Sold, and more.
A detailed product-level analysis allowed the client to track which clothing items were best-sellers and which required restocking.
I incorporated demographic and purchasing data from Amazon, enabling the client to fine-tune their marketing strategies based on customer behavior.
Sales data was automatically updated daily, eliminating manual data entry and reducing errors.
The dashboard provided a clear breakdown of sales from Shipping State, Order Status, Monthly Sales, Units Sold, and more.
A detailed product-level analysis allowed the client to track which clothing items were best-sellers and which required restocking.
I incorporated demographic and purchasing data from Amazon, enabling the client to fine-tune their marketing strategies based on customer behavior.
Sales data was automatically updated daily, eliminating manual data entry and reducing errors.
By automating data collection and integrating Amazon and SharePoint, the client saved valuable time and improved decision-making speed.
Insights into product performance and customer behavior helped the client optimize their sales strategy, directly increasing revenue.
Automated reporting and real-time updates eliminated the need for manual data tracking, allowing the client to focus on growing their business rather than managing data.
By automating data collection and integrating Amazon and SharePoint, the client saved valuable time and improved decision-making speed.
Insights into product performance and customer behavior helped the client optimize their sales strategy, directly increasing revenue.
Automated reporting and real-time updates eliminated the need for manual data tracking, allowing the client to focus on growing their business rather than managing data.
By automating data collection and integrating Amazon and SharePoint, the client saved valuable time and improved decision-making speed.
Insights into product performance and customer behavior helped the client optimize their sales strategy, directly increasing revenue.
Automated reporting and real-time updates eliminated the need for manual data tracking, allowing the client to focus on growing their business rather than managing data.
By automating data collection and integrating Amazon and SharePoint, the client saved valuable time and improved decision-making speed.
Insights into product performance and customer behavior helped the client optimize their sales strategy, directly increasing revenue.
Automated reporting and real-time updates eliminated the need for manual data tracking, allowing the client to focus on growing their business rather than managing data.