Earlier work · Data analysis · 2021

Customer Classification Insights

Customer Insights

  • Python
  • Jupyter Notebook
  • SQL
  • Power BI

This is an archived data analysis project from 2021. My current work is indata engineering.

Aims Grid

Purpose

To create an insights dashboard of customers classified based on Machine Learning for the marketing team.

To unlock sales insights that are not visible before the sales team for decision support and automate them to reduced manual time spent in data gathering.

Stakeholders

  • Sales Director
  • Marketing Team
  • Customer Service Team
  • Data & Analytics Team
  • IT

End Result

An automated dashboard providing quick & latest sales insights in order to support data driven decision making

Success Criteria

  • Dashboard(s) uncovering sales order insights with latest data available
  • Sales team ablel to take better decisions & prove 10% cost savings of total spend
  • Sales Analysts stop data gathering manually to order to save 20 % of their business time and re-invest it value added activity

Customers Classification Dashboard

The finished customers classification dashboard with one page with works as a dashboard and overview, with two other pages focused on combining tables for necessary details and visualizations to show sales over time, per customers and per products.

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