Development of an interactive Dashboard for business
The client needed to automate sales reporting. Data came in the form of disparate CSV and Excel files from CRM and advertising accounts. Manual processing took 3-4 hours each week.
Solution:
A custom web application (Dashboard) was developed based on Python.
What was done:
Data Cleaning: A script was written for automatic merging and cleaning of data.
Visualization: Interactive charts were built that allow filtering of sales by date, region, and product category.
Interface: A user-friendly Dark Mode interface was implemented.
Result:
The client uploads files to the system and receives a ready financial report in 10 seconds. Time savings — 15 hours per month.
#Python #Pandas #Streamlit #Plotly #ExcelAutomation #Dashboard #DataAnalysis #Automation
Solution:
A custom web application (Dashboard) was developed based on Python.
What was done:
Data Cleaning: A script was written for automatic merging and cleaning of data.
Visualization: Interactive charts were built that allow filtering of sales by date, region, and product category.
Interface: A user-friendly Dark Mode interface was implemented.
Result:
The client uploads files to the system and receives a ready financial report in 10 seconds. Time savings — 15 hours per month.
#Python #Pandas #Streamlit #Plotly #ExcelAutomation #Dashboard #DataAnalysis #Automation