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\uD83D\uDCD8 KPI List - Expand for definitions and Code

 Known Diner Sales (KDS) - all sales that are made by recognizable guests, i.e we have lotalty card tagged to the guest

Table

STG.DERIVED_MASTER_TABLE_NEW

Query

SELECT A.TH_FISCAL_YEAR,
A.TH_FISCAL_WEEK,
SUM(A.AMOUNT) AS SALES,
COUNT(DISTINCT A.TICKET_ID) AS TRNXS,
COUNT(DISTINCT A.REGISTERED_ACCOUNT_ID) AS GUESTS

FROM STG.DERIVED_MASTER_TABLE_NEW A
WHERE 
PARTITION_DATE_KEY BETWEEN '<START DATE>' AND '<END DATE>'
AND PERIOD_DT BETWEEN '<START DATE>' AND '<END DATE>'
AND A.IS_PASS_THROUGH = 0
AND A.COUNTRY_NM = 'CANADA'
AND LEFT(A.REGISTERED_ACCOUNT_ID,7) = 'us-east'

GROUP BY 1
 System Wide Sales (SWS) - all sales across the system

Table

STG.DERIVED_MASTER_TABLE_NEW

Query

SELECT
T1.TH_FISCAL_YEAR,
T1.TH_FISCAL_WEEK,
CAST(WEEK_START_DT AS DATE) AS WEEK_DT,
COUNT(DISTINCT REGISTERED_ACCOUNT_ID) AS GUESTS,
COUNT(DISTINCT T1.TICKET_ID) AS TRXNS,
SUM(T1.AMOUNT) AS SWS

FROM STG.DERIVED_MASTER_TABLE_NEW T1
      
WHERE 
PARTITION_DATE_KEY BETWEEN '<START DATE>' AND '<END DATE>'
AND PERIOD_DT BETWEEN '<START DATE>' AND '<END DATE>'
AND T1.IS_PASS_THROUGH = 0 
AND T1.COUNTRY_NM = 'CANADA'

GROUP BY 1,2,3

Additional Comments

Some forecasts may use hyperion sales interchangeable instead of SWS

Metric and definition

Query

Comments

Known Diner Sales (KDS) - all sales that are made by recognizable guests, i.e we have loyalty card tagged to the guest

SELECT A.TH_FISCAL_YEAR,
A.TH_FISCAL_WEEK,
SUM(A.AMOUNT) AS SALES,
COUNT(DISTINCT A.TICKET_ID) AS TRNXS,
COUNT(DISTINCT A.REGISTERED_ACCOUNT_ID) AS GUESTS

FROM STG.DERIVED_MASTER_TABLE_NEW A
WHERE 
PARTITION_DATE_KEY BETWEEN '<START DATE>' AND '<END DATE>'
AND PERIOD_DT BETWEEN '<START DATE>' AND '<END DATE>'
AND A.IS_PASS_THROUGH = 0
AND A.COUNTRY_NM = 'CANADA'
AND LEFT(A.REGISTERED_ACCOUNT_ID,7) = 'us-east'

GROUP BY 1

this metric is used as a baseline to see loyalty sales penetration to our system wide sales

System Wide Sales (SWS) - all sales across the system

SELECT
T1.TH_FISCAL_YEAR,
T1.TH_FISCAL_WEEK,
CAST(WEEK_START_DT AS DATE) AS WEEK_DT,
COUNT(DISTINCT REGISTERED_ACCOUNT_ID) AS GUESTS,
COUNT(DISTINCT T1.TICKET_ID) AS TRXNS,
SUM(T1.AMOUNT) AS SWS

FROM STG.DERIVED_MASTER_TABLE_NEW T1
      
WHERE 
PARTITION_DATE_KEY BETWEEN '<START DATE>' AND '<END DATE>'
AND PERIOD_DT BETWEEN '<START DATE>' AND '<END DATE>'
AND T1.IS_PASS_THROUGH = 0 
AND T1.COUNTRY_NM = 'CANADA'

GROUP BY 1,2,3

Some forecasts may use hyperion sales interchangeable instead of SWS

Cheque - average sales of an individual transaction

SELECT
T1.TH_FISCAL_YEAR,
T1.TH_FISCAL_WEEK,
CAST(WEEK_START_DT AS DATE) AS WEEK_DT,
COUNT(DISTINCT T1.TICKET_ID) AS TRXNS,
SUM(T1.AMOUNT) AS SWS,
SUM(T1.AMOUNT)/COUNT(DISTINCT T1.TICKET_ID) AS CHEQUE

FROM STG.DERIVED_MASTER_TABLE_NEW T1
      
WHERE 
PARTITION_DATE_KEY BETWEEN '<START DATE>' AND '<END DATE>'
AND PERIOD_DT BETWEEN '<START DATE>' AND '<END DATE>'
AND T1.IS_PASS_THROUGH = 0 
AND T1.COUNTRY_NM = 'CANADA'

GROUP BY 1,2,3

Can calculate this on a system level or down to an individual guest level. Can filter on loyalty or non-loyalty.

Frequency - average guest visits in a time period

SELECT
T1.TH_FISCAL_YEAR,
T1.TH_FISCAL_WEEK,
CAST(WEEK_START_DT AS DATE) AS WEEK_DT,
COUNT(DISTINCT T1.TICKET_ID) AS TRXNS,
COUNT(DISTINCT T1.REGISTERED_ACCOUNT_ID) AS GUESTS,
COUNT(DISTINCT T1.TICKET_ID)/COUNT(DISTINCT T1.REGISTERED_ACCOUNT_ID) AS FREQUENCY

FROM STG.DERIVED_MASTER_TABLE_NEW T1
      
WHERE 
PARTITION_DATE_KEY BETWEEN '<START DATE>' AND '<END DATE>'
AND PERIOD_DT BETWEEN '<START DATE>' AND '<END DATE>'
AND T1.IS_PASS_THROUGH = 0 
AND T1.COUNTRY_NM = 'CANADA'
AND LEFT(REGISTERED_ACCOUNT_ID,7) = 'us-east'

GROUP BY 1,2,3

Usually look at this metric for a week, month, or year.

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