Connect the Tableau Pending Billings Dashboards to your Salesforce org. The dashboard
helps you estimate your future billing amounts based on the pending billings amount for each of
your activated order products. You can use this data to evaluate your expected future cash flow.
The dashboards are configured for monthly billing by default, but you can also use them for
quarterly or annual billing analysis. (Salesforce Billing Managed Package)
Required Editions
Available in: Salesforce Billing Summer '20 and later
To use the Pending Billing dashboard, download the Month_ID.csv file and have your Salesforce credentials ready so you can replace the
demo data with your own order data. The Month_ID.csv spreadsheet contains one column labeled
Month ID, with rows for the numbers 0 through 120. When you configure the Pending Billing
dashboard, Tableau performs a full outer join between Month_ID.csv and your order data. This
join creates a table that includes all pending billings within a 10-year period for each of your
order products. If you need a smaller future outlook, edit Month_ID.csv to contain fewer rows,
such as 60 rows for a 5-year billing period.
Open the Pending_Billings.twbx file in Tableau Desktop.
The table is populated with demo data. Replace the demo data with the data from your org
in the next steps.
From your Tableau home page, go to the Data menu and select
Future Billings Standard, and then select Edit Data
Source....
Enter the credentials of the Salesforce org that you want your Pending Billings dashboard
to evaluate. If you're asked to allow access, click Allow.
After Tableau has finished authenticating your org, it will display a window for selecting
your data source. Select Month_ID.csv from the directory where you saved it.
Tableau performs an outer join between the Month_ID.csv file and your order products
with non-invoice plan billing frequencies.
From the Tableau dashboard, select the Billing Revenue by Month Overview tab.
From the Tableau toolbar, select Data and select Future
Billings Invoice Plan, and then select Edit Data
Source....
Configure the Future Billings Invoice Plan data source even if your org doesn't bill with
invoice plans. Otherwise, the Tableau dashboard will still contain demo data.
Repeat steps 3, 4, and 5 to complete setting up your dashboard for order products with
invoice plans.
Tableau performs a full outer join between the Month_ID.csv file and your order
products with invoice plan billing frequencies. The Connections sidebar in Tableau shows
connections for your Salesforce org and your Month_ID.csv file.
The Pending Billings Dashboard provides a Billing Revenue by Month Overview tab and a Details
tab. By default, the Billing Revenue by Month tab shows bar graphs for your overall Billings by
Months. It also shows your billings by month organized by product, account, billing frequency,
and legal entity. The Details page shows the same information as a spreadsheet. You can
customize the filter fields and values in each tab as needed.
To reconnect to your Salesforce org data source or refresh your data, go to
Data and click Refresh all Extracts.
Did this article solve your issue?
Let us know so we can improve!
Loading
Salesforce Help | Article
Cookie Consent Manager
General Information
Required Cookies
Functional Cookies
Advertising Cookies
General Information
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.