Class: Report::ConversionReport::ConversionReport

Inherits:
Object
  • Object
show all
Defined in:
app/services/report/conversion_report/conversion_report.rb

Defined Under Namespace

Classes: Result

Class Method Summary collapse

Class Method Details

.converison_per_master_grouping(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 306

def self.converison_per_master_grouping(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select mg.master_grouping,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur,
             count(distinct voc.report_grouping) as subgroups
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       left join report_grouping_master_groups mg on voc.report_grouping = mg.report_grouping
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by mg.master_grouping

   ), table2 as (
       select mg.master_grouping,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       left join report_grouping_master_groups mg on voc.report_grouping = mg.report_grouping
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by mg.master_grouping

   ), table3 as (
       select mg.master_grouping,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       left join report_grouping_master_groups mg on voc.report_grouping = mg.report_grouping
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by mg.master_grouping

   )
   select t1.master_grouping,subgroups,opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,(opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.master_grouping = t2.master_grouping
   left join table3 t3 on t1.master_grouping = t3.master_grouping
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_product_line_group1(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 559

def self.converison_per_product_line_group1(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.group1,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur,
             count(distinct group2) as subgroups
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.group1

   ), table2 as (
       select group1,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by group1

   ), table3 as (
       select group1,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by group1

   )
   select t1.group1,subgroups,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.group1 = t2.group1
   left join table3 t3 on t1.group1 = t3.group1
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_product_line_group2(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 624

def self.converison_per_product_line_group2(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.group1,voc.group2,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur,
             count(distinct group3) as subgroups
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.group1,voc.group2

   ), table2 as (
       select group1,group2,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by group1,group2

   ), table3 as (
       select group1,group2,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by group1,group2

   )
   select t1.group1,t1.group2,subgroups,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.group1 = t2.group1 and t1.group2 = t2.group2
   left join table3 t3 on t1.group1 = t3.group1 and t1.group2 = t3.group2
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_product_line_group3(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 689

def self.converison_per_product_line_group3(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.group1,voc.group2,voc.group3,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.group1,voc.group2,voc.group3

   ), table2 as (
       select group1,group2,group3,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by group1,group2,group3

   ), table3 as (
       select group1,group2,group3,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by group1,group2,group3

   )
   select t1.group1,t1.group2,t1.group3,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.group1 = t2.group1 and t1.group2 = t2.group2 and t1.group3 = t2.group3
   left join table3 t3 on t1.group1 = t3.group1 and t1.group2 = t3.group2 and t1.group3 = t3.group3
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_product_line_total(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 502

def self.converison_per_product_line_total(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}

   ), table2 as (
       select round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}

   ), table3 as (
       select round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}

   )
   select opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1, table2 t2, table3 t3
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_rep(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 111

def self.converison_per_rep(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.primary_sales_rep_id,full_name,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       and voc.primary_sales_rep_id not in (155,85,92)
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.primary_sales_rep_id,full_name

   ), table2 as (
       select primary_sales_rep_id,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by primary_sales_rep_id

   ), table3 as (
       select primary_sales_rep_id,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by primary_sales_rep_id

   )
   select t1.primary_sales_rep_id,t1.full_name,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.primary_sales_rep_id = t2.primary_sales_rep_id
   left join table3 t3 on t1.primary_sales_rep_id = t3.primary_sales_rep_id
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_rep_and_product_line(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 241

def self.converison_per_rep_and_product_line(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.primary_sales_rep_id,voc.group1,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       and voc.primary_sales_rep_id not in (155,85,92)
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.primary_sales_rep_id,voc.group1

   ), table2 as (
       select primary_sales_rep_id,group1,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by primary_sales_rep_id,group1

   ), table3 as (
       select primary_sales_rep_id,group1,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by primary_sales_rep_id,group1

   )
   select t1.primary_sales_rep_id,t1.group1,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.primary_sales_rep_id = t2.primary_sales_rep_id and t1.group1 = t2.group1
   left join table3 t3 on t1.primary_sales_rep_id = t3.primary_sales_rep_id and t1.group1 = t3.group1
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_rep_and_report_grouping(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 176

def self.converison_per_rep_and_report_grouping(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.primary_sales_rep_id,voc.report_grouping,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       and voc.primary_sales_rep_id not in (155,85,92)
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.primary_sales_rep_id,voc.report_grouping

   ), table2 as (
       select primary_sales_rep_id,report_grouping,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by primary_sales_rep_id,report_grouping

   ), table3 as (
       select primary_sales_rep_id,report_grouping,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by primary_sales_rep_id,report_grouping

   )
   select t1.primary_sales_rep_id,t1.report_grouping,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.primary_sales_rep_id = t2.primary_sales_rep_id and t1.report_grouping = t2.report_grouping
   left join table3 t3 on t1.primary_sales_rep_id = t3.primary_sales_rep_id and t1.report_grouping = t3.report_grouping
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_rep_total(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 53

def self.converison_per_rep_total(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       and voc.primary_sales_rep_id not in (155,85,92)
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}

   ), table2 as (
       select round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}

   ), table3 as (
       select round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}

   )
   select opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1,table2 t2,table3 t3
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_report_grouping(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 372

def self.converison_per_report_grouping(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select mg.master_grouping,voc.report_grouping,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur,
             count(distinct group1) as subgroups
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       left join report_grouping_master_groups mg on voc.report_grouping = mg.report_grouping
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by mg.master_grouping,voc.report_grouping

   ), table2 as (
       select mg.master_grouping,voc.report_grouping,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       left join report_grouping_master_groups mg on voc.report_grouping = mg.report_grouping
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by mg.master_grouping,voc.report_grouping

   ), table3 as (
       select mg.master_grouping,voc.report_grouping,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       left join report_grouping_master_groups mg on voc.report_grouping = mg.report_grouping
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by mg.master_grouping,voc.report_grouping

   )
   select t1.master_grouping,t1.report_grouping,subgroups,opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,(opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.master_grouping = t2.master_grouping and t1.report_grouping = t2.report_grouping
   left join table3 t3 on t1.master_grouping = t3.master_grouping and t1.report_grouping = t3.report_grouping
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.converison_per_report_grouping_and_product_line(start_date, end_date, prev_start_date, prev_end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 438

def self.converison_per_report_grouping_and_product_line(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 cur_year = start_date.year
 prev_year = prev_start_date.year
 company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
 company_sql = country == 'combined' ? ' ' : (' and voc.company_id = ' << company_id.to_s << ' ')
 report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and voc.report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

 sql = <<-SQL
   with table1 as (
       select voc.report_grouping,voc.group1,
             sum(case when year = #{prev_year} then 1 else 0 end) as opps_created_prev,
             sum(case when year = #{cur_year} then 1 else 0 end) as opps_created_cur,
             sum(case when year = #{prev_year} and voc.state = 'won' then 1 else 0 end) as opps_won_prev,
             sum(case when year = #{cur_year} and voc.state = 'won' then 1 else 0 end) as opps_won_cur
       from view_opportunity_conversions voc
       inner join parties e on voc.primary_sales_rep_id = e.id and e.type = 'Employee' and e.inactive = false
       inner join analytic_date_time_dimensions dt on voc.created_at = dt.date
       where (voc.created_at between '#{prev_start_date}' and '#{prev_end_date}' or voc.created_at between '#{start_date}' and '#{end_date}')
       --and voc.days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by voc.report_grouping,voc.group1

   ), table2 as (
       select report_grouping,group1,round(avg(days_conversion)::decimal,0) as avg_closing_time_prev
       from view_opportunity_conversions voc
       where created_at between '#{prev_start_date}' and '#{prev_end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by report_grouping,group1

   ), table3 as (
       select report_grouping,group1,round(avg(days_conversion)::decimal,0) as avg_closing_time_cur
       from view_opportunity_conversions voc
       where created_at between '#{start_date}' and '#{end_date}'
       and state = 'won'
       --and days_conversion > 0
       #{company_sql}
       #{report_groupings_sql}
       group by report_grouping,group1

   )
   select t1.report_grouping,t1.group1,
         opps_created_prev,opps_created_cur,
         case when opps_created_prev = 0 then 0 else round(((opps_created_cur::decimal - opps_created_prev::decimal) / opps_created_prev::decimal) * 100,0) end as opps_growth,
         opps_won_prev,opps_won_cur,
         (opps_won_cur - opps_won_prev) as opp_won_var,
         case when opps_created_prev = 0 then 0 else round((opps_won_prev::decimal / opps_created_prev::decimal) * 100,0) end as conversion_rate_prev,
         case when opps_created_cur = 0 then 0 else round((opps_won_cur::decimal / opps_created_cur::decimal) * 100,0) end as conversion_rate_cur,
         round(((case when opps_created_cur = 0 then 0 else (opps_won_cur::decimal / opps_created_cur::decimal) * 100 end) - (case when opps_created_prev = 0 then 0 else (opps_won_prev::decimal / opps_created_prev::decimal) * 100 end)),0) as conversion_rate_var,
         coalesce(avg_closing_time_prev,0) as avg_closing_time_prev,coalesce(avg_closing_time_cur,0) as avg_closing_time_cur,
         (coalesce(avg_closing_time_cur,0) - coalesce(avg_closing_time_prev,0)) as avg_closing_time_var
   from table1 t1
   left join table2 t2 on t1.report_grouping = t2.report_grouping and t1.group1 = t2.group1
   left join table3 t3 on t1.report_grouping = t3.report_grouping and t1.group1 = t3.group1
   order by t1.opps_created_cur desc

 SQL

 results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.conversion_per_discount(start_date, end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 753

def self.conversion_per_discount(start_date,end_date,country,report_groupings)
  company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
  company_sql = country == 'combined' ? ' ' : (' and company_id = ' << company_id.to_s << ' ')
  report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

  sql = <<-SQL
  with opps as (
      select distinct opportunity_id,state,discount_numeric_range,discount_name_range
      from view_opportunity_conversions
      where created_at between '#{start_date}' and '#{end_date}'
      #{company_sql}
      #{report_groupings_sql}
  )
  select opps.discount_numeric_range,opps.discount_name_range,count(*) as total_opportunities,
      sum(case when opps.state = 'won' then 1 else 0 end) as won_opportunities,
      case when count(*) = 0 then 0 else (sum(case when opps.state = 'won' then 1 else 0 end)::numeric / count(*)::numeric) * 100 
      end as conversion_rate
  from opps
  group by opps.discount_numeric_range,opps.discount_name_range
  order by opps.discount_numeric_range;
 SQL

  results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }

end

.conversion_per_discount_report_grouping(start_date, end_date, country, report_groupings) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 779

def self.conversion_per_discount_report_grouping(start_date,end_date,country,report_groupings)
  company_id = country == 'combined' ? nil : (country == 'us' ? 1 : 2)
  company_sql = country == 'combined' ? ' ' : (' and company_id = ' << company_id.to_s << ' ')
  report_groupings.empty? ? report_groupings_sql = "" : report_groupings_sql = " and report_grouping in (#{report_groupings.map{|rg| "'#{rg.sub("'","''")}'" }.join(',')})"

  sql = <<-SQL 
  with opps_rg as (
      select distinct opportunity_id,report_grouping,state,discount_numeric_range,discount_name_range
      from view_opportunity_conversions
      where created_at between '#{start_date}' and '#{end_date}'
      #{company_sql}
      #{report_groupings_sql}
      )
  select discount_numeric_range,discount_name_range,opps_rg.report_grouping,
      count(*) as total_opportunities,
      sum(case when state = 'won' then 1 else 0 end) as won_opportunities,
      case when count(*) = 0 then 0 else (sum(case when state = 'won' then 1 else 0 end)::numeric / count(*)::numeric) * 100 
      end as conversion_rate
  from opps_rg
  group by discount_numeric_range,discount_name_range,opps_rg.report_grouping
  order by discount_numeric_range,conversion_rate;
  SQL

  results = ActiveRecord::Base.connection.execute(sql).to_a.map{ |r| r.symbolize_keys }
end

.opportunity_report(options = {}) ⇒ Object 



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# File 'app/services/report/conversion_report/conversion_report.rb', line 8

def self.opportunity_report(options = {})
 start_date = options[:period1_gteq]
 end_date = options[:period1_lteq]
 prev_start_date = start_date.years_ago(1)
 prev_end_date = end_date.years_ago(1)
 country = options[:country]
 report_groupings = options[:report_groupings].map(&:presence).compact

 data_converison_per_rep_total = converison_per_rep_total(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_rep = converison_per_rep(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_rep_and_report_grouping = converison_per_rep_and_report_grouping(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_rep_and_product_line = converison_per_rep_and_product_line(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)

 data_converison_per_master_grouping = converison_per_master_grouping(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_report_grouping = converison_per_report_grouping(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_report_grouping_and_product_line = converison_per_report_grouping_and_product_line(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)

 data_converison_per_product_line_total = converison_per_product_line_total(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_product_line_group1 = converison_per_product_line_group1(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_product_line_group2 = converison_per_product_line_group2(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)
 data_converison_per_product_line_group3 = converison_per_product_line_group3(start_date,end_date,prev_start_date,prev_end_date,country,report_groupings)

 conversion_per_discount = conversion_per_discount(start_date,end_date,country,report_groupings)
 conversion_per_discount_report_grouping = conversion_per_discount_report_grouping(start_date,end_date,country,report_groupings)

 

 Result.new(success: true,
            cur_year: start_date.year,
            prev_year: prev_start_date.year,
            data_converison_per_rep_total: data_converison_per_rep_total,
            data_converison_per_rep: data_converison_per_rep,
            data_converison_per_rep_and_report_grouping: data_converison_per_rep_and_report_grouping,
            data_converison_per_rep_and_product_line: data_converison_per_rep_and_product_line,
            data_converison_per_master_grouping: data_converison_per_master_grouping,
            data_converison_per_report_grouping: data_converison_per_report_grouping,
            data_converison_per_report_grouping_and_product_line: data_converison_per_report_grouping_and_product_line,
            data_converison_per_product_line_total: data_converison_per_product_line_total,
            data_converison_per_product_line_group1: data_converison_per_product_line_group1,
            data_converison_per_product_line_group2: data_converison_per_product_line_group2,
            data_converison_per_product_line_group3: data_converison_per_product_line_group3,
            conversion_per_discount: conversion_per_discount,
            conversion_per_discount_report_grouping: conversion_per_discount_report_grouping)
end