Query for suggesting potentially useful indexes for the database

Here is a query I found useful for determining which indexes should be created on a table. It is only good for the tables that have been in use, not the brand new ones.

SELECT user_seeks * avg_total_user_cost * ( avg_user_impact * 0.01 ) 
AS [index_advantage] ,
migs.last_user_seek , 
mid.[statement] AS [Database.Schema.Table] ,
mid.equality_columns , 
mid.inequality_columns , 
mid.included_columns , migs.unique_compiles , 
migs.user_seeks , 
migs.avg_total_user_cost , 
migs.avg_user_impact
FROM sys.dm_db_missing_index_group_stats AS migs WITH ( NOLOCK ) 
INNER JOIN sys.dm_db_missing_index_groups AS mig WITH ( NOLOCK ) 
ON migs.group_handle = mig.index_group_handle 
INNER JOIN sys.dm_db_missing_index_details AS mid WITH ( NOLOCK ) 
ON mig.index_handle = mid.index_handle
WHERE mid.database_id = DB_ID()
ORDER BY index_advantage DESC