Paypal is a sophisticated and comprehensive cloud-based platform. For many, the built-in reports and analysis that Paypal offers is enough for our day-to-day needs. However, if you need something a little more customized, you need to aggregate your data over multiple Paypal accounts, or you need to cross-reference your Paypal data with other cloud services, then you’re going to have to build it yourself. And what better way than using the tool you’re already familiar with - Power BI.
In this article, I’ll take you through the steps to connect Power BI to your Paypal data, and get started customizing the reports you need.
Connect to Paypal
If you don’t already have a SyncHub account, you can grab a free trial here - go on, I’ll wait - it only takes a minute and you can cancel as soon as you’ve finished this tutorial if you like.
Ready? Now, a quick reminder - SyncHub works by staging your Paypal data in a relational database. This gives us a huge advantage over other connectors which query the Paypal API directly, but I won’t go in to them here. The point is, once you have connected your Paypal account, querying from Power BI is trivial as you are just using its native SQL Server Connector.
Once connected, you'll find data from all these endpoints streaming down from Paypal, such as this example from the Transaction table:
| TransactionID | TransactionInitiationDate | TransactionStatus | TransactionAmountValue | PayerFullName |
|---|---|---|---|---|
| TXN12345ABC | 2024-05-01 14:30:00 | S | 250.75 | Emma Thompson |
| TXN67890XYZ | 2024-05-02 10:15:00 | P | 500.00 | Michael Harrison |
| TXN54321LMN | 2024-05-03 16:45:00 | D | 75.99 | Sophia Martinez |
After connecting, visit your SyncHub Dashboard and grab your new database credentials - you'll need them below.
Reading your Paypal data from Power BI
We now just need to tell Power BI where to find your data. Either select Import data from SQL Server or a new SQL Server connection from the Data ribbon:
When prompted, enter the Server and Database that SyncHub provided in the first step above:
Next - and this is the part that trips most people up - switch to the Database credentials tab (highlighted by the arrow below), then enter the username and password provided to you by SyncHub in the step above:
Troubleshooting
This is the point where you are most likely to run into issues - your login won’t be accepted. After triple-checking that you have used the correct server/database/username/password, the most common resolutions we see are:
- try opening Power BI in Administrator mode
- if you are in an office, perhaps you have some firewall restrictions?
All going well, you’ll now be presented with the tables from Paypal, and you know what to do from here:
Keeping your data up-to-date
SyncHub updates it’s staged data from Paypal in near-realtime, so it’s always available. However, depending on your Power BI settings you may still observe a delay with your reports. But not to worry - the solution isn’t too onerous. Every time you want to refresh your data, simply click the (appropriately named) Refresh button in your Ribbon:
Beyond Paypal
Paypal-specific reports are essential, but the true power of SyncHub comes when you augment your Paypal data with additional information:
- SyncHub allows you to pull in data from multiple Paypal accounts, and compare/report/aggregate from within the same report. See this blog article for details on aggregating your Paypal data.
- Most businesses use multiple cloud platforms. SyncHub provides connectors to a wide range of popular cloud platforms. Imagine the insights you could gather by consolidating this information into a single dashboard (or see this case study for real-world examples).
So what are you waiting for? Grab a free trial of SyncHub here and see what you can do. In ten minutes from now, you could be reporting against your Paypal data and taking your first steps towards a data-driven business.