select *
from (select i_manager_id
           , sum(ss_sales_price)      sum_sales
           , avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales
      from item
         , store_sales
         , date_dim
         , store
      where ss_item_sk = i_item_sk
        and ss_sold_date_sk = d_date_sk
        and ss_store_sk = s_store_sk
        and d_month_seq in
            (1200, 1200 + 1, 1200 + 2, 1200 + 3, 1200 + 4, 1200 + 5, 1200 + 6, 1200 + 7, 1200 + 8, 1200 + 9, 1200 + 10,
             1200 + 11)
        and ((i_category in ('Books', 'Children', 'Electronics')
          and i_class in ('personal', 'portable', 'reference', 'self-help')
          and i_brand in ('scholaramalgamalg #14', 'scholaramalgamalg #7',
                          'exportiunivamalg #9', 'scholaramalgamalg #9'))
          or (i_category in ('Women', 'Music', 'Men')
              and i_class in ('accessories', 'classical', 'fragrances', 'pants')
              and i_brand in ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1',
                              'importoamalg #1')))
      group by i_manager_id, d_moy) tmp1
where case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1
order by i_manager_id
       , avg_monthly_sales
       , sum_sales limit 100
