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Insurance Claims and Inventory Insights for Second Cars
4 Scenarios
3 Hours 30 Minutes
Intermediate
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Industry
insurance
Skills
approach
quality
data-understanding
data-wrangling
data-visualization
Tools
sql
python
power-bi
Learning Objectives
Gain skills in data cleaning and wrangling from raw data sources.
Learn to design and implement actionable metrics and dimensions based on business rules.
Develop proficiency in creating dashboards that provide meaningful insights into the data.
Understand how to integrate multiple data sources to improve decision-making processes in a business setting.
Overview
In this project, learners will help Second Cars, a leading used car sales company, clean, validate, and analyze insurance claim data to streamline inventory management and identify erroneous claims. Using various tools like SQL, Python, Power Query, and Power BI, learners will integrate sales and insurance data, create metrics, and build actionable dashboards to highlight high-visibility incidents and improve operational efficiency. By the end of the project, learners will gain hands-on experience in data cleaning, wrangling, and visualization techniques critical for effective business decision-making.
Prerequisites
- Basic understanding of insurance claims and used car sales.
- Familiarity with SQL for querying and processing data.
- Knowledge of Python for data cleaning and transformation.
- Experience with Power BI for creating interactive dashboards and visualizations.