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Column Name

Datatype

Description

Source

Notes:

TH_FISCAL_YEAR

string

The fiscal year of the transaction date

STG.DERIVED_MASTER_TABLE_NEW

TH_CALENDAR_MONTH

int

The calendar month of the transaction date

STG.DERIVED_MASTER_TABLE_NEW

TH_FISCAL_WEEK

string

The fiscal week of the transaction date

STG.DERIVED_MASTER_TABLE_NEW

PERIOD_DT

date

Date of the transaction

STG.DERIVED_MASTER_TABLE_NEW

DAY_PART_CD

string

Daypart of transaction

STG.DERIVED_MASTER_TABLE_NEW

TICKET_ID

bigint

Ticket_id, unique for each transaction

STG.DERIVED_MASTER_TABLE_NEW

OPERATOR

string

GM of the restaurant

TLOG_DIM_RESTAURANT_CURRENT

AFL

string

Director of the restaurant

TLOG_DIM_RESTAURANT_CURRENT

MFP

string

MFP of the restaurant

TLOG_DIM_RESTAURANT_CURRENT

LOYALTY_CUSTOMER_ID

string

Loyalty Short ID

STG.DERIVED_MASTER_TABLE_NEW

LOYALTY_FLAG

int

Flag, 1 or 0

STG.DERIVED_MASTER_TABLE_NEW

REGISTERED_ACCOUNT_ID

string

Registered ID 

STG.DERIVED_MASTER_TABLE_NEW

REGISTERED_FLAG

int

Registered flag, 1 or 0

STG.DERIVED_MASTER_TABLE_NEW

REST_NO

int

Resturant num

STG.DERIVED_MASTER_TABLE_NEW

CITY

string

City

STG.DERIVED_MASTER_TABLE_NEW

OPS_DIV_NM

string

OPS_DIV_NM

STG.DERIVED_MASTER_TABLE_NEW

REST_TYPE_NM

string

Resturant type

STG.DERIVED_MASTER_TABLE_NEW

SERVICE_MODE

string

mode of the purchase (SCAN_REG, MOP_REG , WHITELABEL_REG, KIOSK_REG, CATERING_REG, 3P_NON_LOYALTY, KIOSK_LOYALTY_UNREG, KIOSK_NON_LOYALTY, CATERING_LOYALTY_UNREG, CATERING_NON_LOYALTY, OTHER_REG, OTHER_LOYALTY_UNREG, OTHER_NON_LOYALTY) 

STG.DERIVED_MASTER_TABLE_NEW,
BRINGG REPORT

White_label restaturant count might be incorrect due to POS issue

SUB_SERVICE_MODE

string

sub category of the service mode (MOBILE ORDER DRIVE THRU', MOBILE ORDER EAT IN', MOBILE ORDER TAKE OUT, UBER, DOORDASH, SKIP THE DISHES, APP SCAN , PHYSICAL CARD SCAN, WHITELABEL_REG, KIOSK_REG, CATERING_REG, KIOSK_LOYALTY_UNREG, KIOSK_NON_LOYALTY, CATERING_LOYALTY_UNREG, CATERING_NON_LOYALTY, OTHER_REG, OTHER_LOYALTY_UNREG, OTHER_NON_LOYALTY)

STG.DERIVED_MASTER_TABLE_NEW,
TLOG.TLOG_SALE_TICKET_TENDERS,
DYDB.CARDS

Scan and Pay uses a different source of data as the other metrics, and is not classifed by itself on this table.

Info

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\uD83D\uDCCB How to create your own views using this dataset

  1. Open Tableau from OKTA tile:

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  2. Create a new workbook in your tableau space

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  3. in the search bar, search for the dataset, “Im using the Weekly Execution offers dataset”. Click Connect.

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  4. Create your report by dragging and dropping metrics from the table

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    Save your created report in a space in Tableau

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  6. You can open up your report anytime and will be able to get refreshed data , download the dataset, download the chart, set alerts and share and many more.

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