How can you fix this? Hi!jack your data with a dummy row at row 1 and force the column(s) in question into a string (in this case only - it is a data type error, so apply the fix according to the type).
It is necessary to understand what the data adaptor does, which interprets the data type of each column by examining, by default, the first 8 rows of data (sans header if HDR=Yes in connect string) and deciding on a data type (it can be over-ridden -yes there is an override - in the connection string to 16 rows - almost never very helpful).
Data adaptors can do other nasty things, like skip strings in columns of mixed data types, like string/double (which is really just a string column, but not to the adaptor if the first rows are all double). It won't even give you the courtesy of an error in this example.
This often occurs in data coming from ERP sources that contains "Free Form" columns. User defined columns are the usual suspects. It can be very difficult to find in other data type issues. I once spent quite a bit of time resolving an issue with a column that typed as a string with a max length of 255 chars. Deep in the data there were cells that exceeded that length and threw errors.
If you don't want to advance to the level of "Genetic Engineering" in working with data adaptors, the fastest way to resolve an issue like this is to hi!jack your data and force the column(s) in question to the correct type (or incorrect, which you can then correct in your own code if need be). Plan B is to give the data back to the customer/user and tell them to correct it. Good luck with Plan B. There is a reason it isn't Plan A.
More on manipulating via the connection string and similar issues with the adaptor - but be wary, results are not going to be 100% fool proof. I've tested changing IMEX and HDR settings extensively. If you want to get through the project quickly, hi!jack the data. OleDB & mixed Excel datatypes : missing data
Here is another posting similar in context, note all of the possible time consuming solutions. I have yet to be convinced there is a better solution, and it simply defies the logic a programmer brings to the keyboard every morning. Too bad, you have a job to do, sometimes you have to be a hack. DateTime format mismatch on importing from Excel Sheet