Question : matches the best possible solution

I have two tables. CustomersTable and BusinessDirectory
Both tables have a column called businessName.
my CustomerTable has a columns cid, customerID, businessName my BusinessDirectory table has columns bdid, businessName, getID

I want to update the getID field in BusinessDirectory table by customerID in CustomerTable where the business name matches in CustomerTable. Hence I did this query

update BusinessDirectory INNER JOIN CustomerTable ON CustomerTable.businessName = BusinessDirectory.businessName set BusinessDirectory.getID = CustomerTable.customerID;
which updates the records fine as long as the records match 100%. There are some records where there is a little typo and stuff like I have a business name General Contractors Inc in one table and the other table has it as General Contractors. As you can see its missing Inc, so it doesnt match. What can I do to get best possible matches. Thanks

Answer : matches the best possible solution

Alternatively, try the following:

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SELECT Y.LEA,
       Y.[Funding Type],
       Y.[FY],
       Y.[Current Allocation],
       Y.[Current Contract],
       Y.[Current Expenditure],
       Z.[Total Contingency]
FROM
       ( SELECT c.county_name AS LEA,
              s.source_of_fund AS [Funding Type],
              substring(f.psc_no, 6, 4)AS [FY],
              SUM(f.current_allocation) AS [Current Allocation],
              SUM(f.current_contract) AS [Current Contract],
              SUM(current_expenditure) AS [Current Expenditure]
       FROM   source_of_fund_transaction f
       JOIN   county c
       ON     substring(f.psc_no, 1, 2)=c.county_number
       JOIN   source_of_fund s
       ON     f.sof_id=s.sof_id
       WHERE  NOT (f."TRANSACTION_TYPE"='C/O Decline'
              OR f."TRANSACTION_TYPE"='C/O Posting'
              OR f."TRANSACTION_TYPE"='Post Contract')
       GROUP BY c.county_name,
              s.source_of_fund,
              substring(f.psc_no, 6, 4)
       ) Y
LEFT OUTER JOIN
       (SELECT county_name AS LEA,
              source_of_fund AS [Funding Type],
              substring(psc_no, 6, 4) AS FY,
              SUM(amount) AS [Total Contingency]
       FROM   project_contingency p
       JOIN   source_of_fund s
       ON     p.sof_id=s.sof_id
       JOIN   county c
       ON     substring(psc_no, 1, 2)=county_number
       GROUP BY s.source_of_fund,
              county_name,
              substring(psc_no, 6, 4)
       ) Z
ON     Y.LEA = Z.LEA
       AND Y.[Funding Type] = Z.[Funding Type]
       AND Y.[FY] = Z.[FY]
ORDER BY Y.LEA,
       Y.[Funding Type],
       Y.[FY]