This article is part of R365 intelligence and covers adding data by dataset. 


Users can elect to add data to dashboard environments by dataset. Datasets are groups of selected attributes and metrics that can be used together to build visualizations. When data is added by datasets, the group of related attributes and metrics will automatically be added to the datasets panel. 


Users can choose from the following preset datasets:

  • Financial Dataset
  • Intraday Dataset
  • Labor Dataset
  • PMIX Dataset
  • Purchase and Receiving Dataset
  • Sales Dataset


Users can also add data to their dashboard environment by manually selecting individual attributes and metrics. To read about adding data using existing data objects, click here


Note: Adding data by dataset is a feature that is currently in beta. For more information, please reach out to your CSM!


TABLE OF CONTENTS


Adding Data by Dataset


To add data by dataset, open a dashboard, then follow these steps:


From the datasets panel, under 'Add Data,' click Existing Dataset.
Users will be prompted with the Select Existing Dataset dialog box. Click the datasets folder to open the list of datasets.
Select the desired dataset from the list.
After making a selection, click Select
Users will be prompted to set parameters for the dataset. This prompt may vary depending on the dataset selected.

Set the parameters as needed.

Click the images to enlarge.

The following require a start and end date:
  • Financial Dataset
  • Labor Dataset
  • Purchasing & Receiving Dataset
  • Sales Dataset



The Intraday Dataset requires an end date for a 15 day range.



The PMIX Dataset requires an end date for a 7 day range.

Once the parameters are set, click Run.
Once loaded, all the attributes and metrics in the dataset will appear in the datasets panel. 



Available Datasets


Each dataset has a preset selection of attributes and metrics. View the collection of data in each dataset below.


Financial Dataset


Attributes
Metrics
Approved vs Unapproved
Credit
Comment

Debit
Date
Net Change
Day of Week
Unapproved
Financial Account Type
Financial Report

Fiscal Period

Fiscal Quarter

Fiscal Week

Fiscal Year

GL Account

GL Account Number

GL Type Name

Legal Entity

Location

Location Categories

Operational Period

Operational Quarter

Operational


Operational Reporting Category


Operational Week 

Operational Year

Transaction Number

Transaction Type




Intraday Dataset


Attributes
Metrics
15 Minute Interval
Actual Shift Count
30 Minute Interval
Actual Shift Count PW (Prior Week)
Date
Actual Shift Count PY (Prior Year)
Day of Week
Check Count
Daypart
Check Count PW
Employee Name
Check Count PY
Hour Interval
DT Actual Hours
Location 
DT Actual Wages
Location #
DT Scheduled Hours
Location Categories
DT Scheduled Wages
Operational Period
OT Actual Hours
Operational Quarter
OT Actual Wages
Operational Week
OT Scheduled Hours
Operational Year
OT Scheduled Wages


Regular Actual Hours


Regular Actual Wages


Regular Scheduled Hours


Regular Scheduled Wages


Scheduled Shift Count


Total Actual Hours


Total Actual Hours PW


Total Actual Hours PY


Total Actual Wages


Total Actual Wages PW


Total Actual Wages PY


Total Scheduled Hours


Total Scheduled Wages


Void Amount


Void Amount PW


Void Amount PY


Void QTY


Void QTY PW


Void QTY PY




Labor Dataset


Attributes
Metrics
Date

Actual Shift Count
Day of Week
Cash Tips
Daypart
CC Tips
Employee Name
DT Actual Hours
Fiscal Period
DT Actual Wages
Fiscal Quarter

DT Scheduled Hours
Fiscal Week

DT Scheduled Wages
Fiscal Year

OT Actual Hours
Job Department
OT Actual Wages
Job Title
Regular Actual Hours 
Legal Entity
Regular Actual Wages
Location
Regular Scheduled Hours
Location #
Regular Scheduled Wages
Location Categories
Scheduled Shift Count
Operational Period
Total Actual Hours
Operational Quarter
Total Actual Wages
Operational Week
Total Scheduled Hours
Operational Year
Total Scheduled Wages


Total Tips



PMIX Dataset


Attributes
Metrics
Date
Check Count By Menu Item 
Day of Week
Check Count By Menu Item PW
Daypart
Check Count By Menu Item PY
Delivery Service
Entree Count
Is Entree
Menu Item's Recipe Cost
Legal Entity
QTY Sold
Location
QTY Sold PW
Location Categories
QTY Sold PY
Menu Item 
Sales Amount
Menu Item Category 1, 2, 3
Sales Amount PW
Operational Period
Sales Amount PY
Operational Quarter
Operational Week

Operational Year

Order Mode

Service Type



Purchasing and Receiving Dataset


Attributes
Metrics
Date

Ordered Amount
Day of Week
Ordered QTY
Fiscal Period

Received Amount
Fiscal Week
Received QTY
Fiscal Year

Inventory U of M

Item Category 1, 2, 3

Item Name

Item Type

Legal Entity

Location

Location #

Location Categories

Operational Period

Operational Quarter

Operational Week

Operational Year

Reporting U of M

Vendor Item

Vendor Item #

Vendor Name



Sales Dataset


Attributes
Metrics
Date
Check Count
Day of Week 
Check Count PW
Daypart
Check Count PY
Delivery Service
Comp Amount
Employee Name
Comp QTY
Fiscal Period
Gross Sales
Fiscal Quarter
Gross Sales PW
Fiscal Week
Gross Sales PY
Fiscal Year
Guest Count
Legal Entity
Guest Count PW
Location
Guest Count PY
Location Categories

Housed Account Amount
Operational Period
House Account QTY
Operational Quarter

Net Sales
Operational Week

Net Sales PW
Operational Year

Net Sales PY
Order Mode
Promo Amount
Service Type
Promo QTY


Tax Amount


Tax Amount PW


Tax Amount PY


Void Amount


Void Amount PW


Void Amount PY


Void QTY


Void QTY PW


Void QTY PY