The Early Days
When I wrote my first Z-80 assembler game in high school, the idea that computers would one day drive business decisions seemed far-fetched. Fast forward through decades of Excel, VBA, Access databases, and now AI-driven analytics.
The Excel Era
Excel remains one of the most powerful tools in business. With PowerQuery, PowerPivot, and DAX, it has evolved far beyond simple spreadsheets. My work at ExcelPatterns.com explores innovative uses of Defined Names that make complex workbooks manageable.
The Rise of AI-Driven BI
This is why I founded CrushErrors.com — to bridge the gap between raw data and actionable intelligence. Traditional BI tools require significant setup and expertise. AI-driven approaches can automatically clean data, identify patterns, and surface insights that would take analysts weeks to find.
What Makes AI Different
- Automated Data Cleaning: AI can identify and correct errors that humans routinely miss.
- Pattern Recognition: Machine learning algorithms can spot trends across millions of data points.
- Predictive Analytics: Moving from descriptive to predictive analysis.
Looking Forward
The companies that embrace AI-driven business intelligence today will have a significant competitive advantage tomorrow. The key is not replacing human judgment, but augmenting it with better data.