Reading a data table full of numbers can easily lead to errors. The eyes must follow a path across rows and columns to read data accurately. If your eyes trail off into an adjacent row or column, you could be looking at the wrong data. It's easier to make this mistake the more numbers a table has.
Reading each data value is also effortful. Users have to scan their eyes back and forth across rows and columns to read data names and headers.
Not only that, but the table's most relevant data is hard to spot because they blend in with all other data. Data names, statuses, and totals should stand out because they're the most used.
On top of that, comparing numbers is difficult because there's no easy way to convert the data table into graphs. Graphs make the numbers more visual, so trends and relationships between values are easier to spot.
Users need a better interface for reading data table numbers. A table may display data neatly in rows and columns, but they're terrible for reading numeric data.