GitHub - ToobaAhmedAlvi/BI_project: Chinook Music Store Dashboard

ABOUT THE DATASET

The Chinook dataset, a sample database mimicking a digital music store, offers numerous business use cases and problems to analyse. One common use case is understanding customer behaviour and preferences to improve sales strategies.
For example, businesses can analyse which genres are most popular, which customers purchase the most, and identify trends in customer purchasing habits.
This data can be used to optimize inventory, tailor marketing campaigns, and even personalize recommendations for customers.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
ERD_cleaned		ERD_cleaned
raw_data		raw_data
rough_work		rough_work
snowflake		snowflake
.gitignore		.gitignore
1_data_load_rdbms.ipynb		1_data_load_rdbms.ipynb
2_data_load_ingestion_stage.ipynb		2_data_load_ingestion_stage.ipynb
3_data_clean_stage.ipynb		3_data_clean_stage.ipynb
4_data_transformation.ipynb		4_data_transformation.ipynb
BI_dashboard.pbix		BI_dashboard.pbix
Dim_Customer_star.csv.gz		Dim_Customer_star.csv.gz
Dim_Date_star.csv.gz		Dim_Date_star.csv.gz
Dim_Location_star.csv		Dim_Location_star.csv
Dim_Location_star.csv.gz		Dim_Location_star.csv.gz
EDA_intense_Cleaning_checks_ToobaAlvi_AyeshaShafqat .ipynb		EDA_intense_Cleaning_checks_ToobaAlvi_AyeshaShafqat .ipynb
PROJECT_REPORT_31917_31472.docx		PROJECT_REPORT_31917_31472.docx
PROJECT_REPORT_31917_31472.pdf		PROJECT_REPORT_31917_31472.pdf
README.md		README.md
data_clean_stage.py		data_clean_stage.py
data_load_rdbms.py		data_load_rdbms.py
data_manipulation_clean_stage.ipynb		data_manipulation_clean_stage.ipynb
~$cumentation.docx		~$cumentation.docx