

PORSCHE
AUTOMOTIVE INDUSTRY
π― CHALLENGE
HOW TO OPTIMIZE AND IMPROVE FUTURE LEASING MONTHLY FEES USING HISTORICAL SERVICE AND RESIDUAL VALUE DATA TO MAXIMIZE PROFITABILITY
β RESULT
NEW PRICING MODEL UNLOCKED DUE TO SIGNIFICANTLY IMPROVED CALCULATIONS
BRIAN EFFECT
70% REDUCTION IN ANALYST TIME
β‘ BRIAN'S KEY CONTRIBUTIONS
π οΈDATA ENGINEERING & QUALITY MANAGEMENT
CREATED UNIFIED, CAR-BASED AGGREGATED DATASET FROM DIVERSE DATA SOURCES
π ADVANCED ANALYTICS IMPLEMENTATION:
GENERATED INSIGHTS INTO MODEL LIFECYCLES, COSTS, USAGE PATTERNS, AND SERVICE FREQUENCY
π€ PREDICTIVE MODELING SUCCESS:
DEPLOYED BASELINE ML MODELS FOR RESIDUAL VALUE AND SERVICE COST PREDICTION
π¬ ANALYTICS & EXPLORATORY DATA ANALYSIS
BRAND AND MODEL CHARACTERISTIC PROFILING USING SERVICE DATA