Description
Understanding Lubricant Spend Analysis- Importance of data-driven decision making
- Key metrics and performance indicators
- Data quality and accuracy
- Incoming lubricant product acceptance data
- Specifications and standards (ASTM, ISO, DIN)
- New product evaluation data (case studies, cost-benefit analysis, failure analysis)
- Data collection methods (manual, automated)
- Data cleaning and validation
- Basic data analysis techniques (summarization, visualization)
- Identifying trends and patterns
- Cost-benefit analysis