Gets a list of potential indexes ordered by how much help they would be in improving performance.

MissingIndexesByImprovement.sql

SELECT mid.database_id
  ,db.name
	,migs.avg_total_user_cost * (migs.avg_user_impact / 100.0) * (migs.user_seeks + migs.user_scans) AS improvement_measure
	,'CREATE INDEX [missing_index_' + CONVERT (varchar, mig.index_group_handle) + '_' + CONVERT (varchar, mid.index_handle) + '_' + LEFT (PARSENAME(mid.statement, 1), 32) + ']' + ' ON ' + mid.statement + ' (' + ISNULL (mid.equality_columns,'') + CASE WHEN mid.equality_columns IS NOT NULL AND mid.inequality_columns IS NOT NULL THEN ',' ELSE '' END + ISNULL (mid.inequality_columns, '') + ')' + ISNULL (' INCLUDE (' + mid.included_columns + ')', '') AS create_index_statement
	,migs.*
	,mid.database_id
	,mid.[object_id] 
FROM sys.dm_db_missing_index_groups mig 
	INNER JOIN sys.dm_db_missing_index_group_stats migs ON migs.group_handle = mig.index_group_handle 
	INNER JOIN sys.dm_db_missing_index_details mid ON mig.index_handle = mid.index_handle 
	INNER JOIN sys.databases db ON mid.database_id = db.database_id 
WHERE migs.avg_total_user_cost * (migs.avg_user_impact / 100.0) * (migs.user_seeks + migs.user_scans) > 10
ORDER BY migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans) DESC