Standard LLMs struggle to analyze spreadsheets and structured data despite their linguistic fluency. New Large Tabular Models address this gap by treating tables as primary inputs rather than text strings. This shift allows for more accurate data analysis in banking and marketing. Practitioners can now automate complex spreadsheet tasks without relying on fragile prompt engineering.