How to get data from of the Remindo API to Power BI

When you want to build dashboards based on data out of Remindo, you can do so with business intelligence tools like PowerBI. These tools have options to connect to an API, so you can get data out of Remindo and into PowerBI to build great dashboards and insights. Adding Power BI to an API opens up a world of real-time data analysis, letting you build dashboards that automatically update with the latest information.

This guide will walk you step-by-step through connecting the Remindo API to Power BI, transforming the data, and building a dynamic data model.

Why connect Power BI to your API?

Connecting to the Remindo API directly instead of relying on manual CSV or Excel exports has several powerful advantages. The primary benefit is access to live data without manual actions needed. Your reports and dashboards can reflect what's happening right now, providing stakeholders with the most current insights without needing someone to constantly download and refresh files.

This method also automates your data workflows. Once you set up the connection, Power BI can handle scheduled refreshes, saving you countless hours.

Furthermore, modern BI tools are built to handle API data, giving you the power to pull information from various sources in addition to Remindo - like other Paragin products like Skillsly or OnStage, but also CRMs, financial platforms, or student information systems - directly into one centralized reporting hub.
 

Before you start: what you'll need

To ensure a smooth connection process, gather these items before you start. It will save you from having to pause and search for details later on.

• Power BI Desktop: This tutorial is based on the (free) desktop version of Power BI. It should be installed on your computer.
• API-URL (eindpunt): This is the web address you'll send a request to. It's the location of the data you want to retrieve. This can be found when you set up an API in Remindo.
• Authenticatiegegevens: Many APIs including the API of Remindo, require authentication to protect data. The most common method is an API Key or an OAuth Token. You'll find this in the account settings of Remindo as well.
• API-documentatie: This is your most essential resource. Good documentation explains the correct URL to use (the endpoint), what authentication is required, how the data is structured, what calls are available, et cetera. Always read the documentation first!

Step-by-step walk through 

We'll walk through the entire process, from making the initial connection to transforming the data into a usable table. 

1. Open Power BI and Select "Get Data" from Web

   First, launch Power BI Desktop. In the main ribbon at the top, navigate to the "Home" tab. Click on "Get data" and select "Web" from the drop-down menu.
   
   This action opens the "From Web" dialog box, which is where you'll tell Power BI where to find your data.
    

2. Enter the API URL and configure the connection

   You'll see a dialog box with "Basic" and "Advanced" options. For the Remindo API, the "Advanced" option is all you need.

   1. Select the "Advanced" radio button.
   2. In the "URL parts" section, paste your main API URL.

   3. Under "HTTP request header parameters," you'll need to add the authentication information. Common headers for API keys are Authorization or X-API-Key.

      After adding the data, click "OK". Power BI will then securely send your request and, upon success, open the Power Query Editor.

3. Navigate and transform the response in Power Query

   Once connected, you'll be taken to the Power Query Editor. API responses are usually in a format called JSON (JavaScript Object Notation), which is machine-readable but not a clean table. Your job in Power Query is to turn this nested data into neat rows and columns.
   
   Your screen will likely show a single column containing a list of "Records."

   Convert to table

   The first action is usually to convert this list into a table. In the top ribbon, you'll see a "Transform" tab. While your list column is selected, click on "To Table". A small dialog will appear, you can just click "OK" using the default settings.

   Expand the column of records

   You now have a table with one column, likely named "Column1," and each cell says "Record." This means each "record" contains multiple fields (like userID, ID, title, etc.). To see them, we need to expand the column.

   1. Click on the expand icon (two arrows pointing in opposite directions) in the header of that column.
   2. A dropdown will appear, listing all the available fields within the records. By default, all should be selected.
   3. Uncheck "Use original column name as prefix." This gives you cleaner column names.

   4. Click 'OK'. 

      Voila! The single column expands into multiple columns, with each field from the API response now in its own column. You have a proper table you can work with.

Clean up and set data types

Before loading the data, perform a few cleanup steps. Right-click column headers to rename them to be more user-friendly if you want. 
Then, check the data types. Power BI makes a good guess, but you should verify that numbers are formatted as numbers, dates as dates, and text as text. You can change a column's data type by clicking the icon (e.g., "ABC", "123") in its header.

4. Load data into your model

   Once you are happy with the table in Power Query, it's time to load it into your Power BI data model so you can start building visualizations.
   
   Go to the "Home" tab in the Power Query ribbon and click "Close & Apply". This will close the editor and load your freshly cleaned table into Power BI. You can now see your data fields in the "Data" pane on the right-hand side, ready to be dragged and dropped into charts and reports.
    

Additional tips for working with APIs

Connecting to an API is just the start. Here are some pro tips for handling common real-world API challenges.

Handling Pagination

The Remindo API doesn’t return all your data in a single request. Instead, it is broken into "pages," often returning a limited number of results at a time along with a link to the "next page." Handling this in Power BI requires creating a custom function in Power Query that repeatedly calls the API until there are no more pages left. This is an advanced technique, but it's essential for retrieving complete datasets from large sources.

Using parameters for dynamic URLs

What if you want to change part of the API URL dynamically, such as a date range or a product ID? Instead of manually editing the query, you can use Power Query Parameters. In the Power Query Editor, go to "Home" > "Manage Parameters".

You can create a parameter (e.g., called `StartDate`) and then reference it in your source URL. This lets users change the parameter in Power BI without having to edit the query code.

Remember to stay within rate limits

Most APIs limit how many requests you can make in a given amount of time (e.g., 10 requests per second). Be mindful of this when setting up automatic refreshes. If you refresh a complex report with many API calls too frequently, you might get temporarily blocked. 

In conclusion

Connecting Power BI to the API is an interesting option that transforms your reporting from snapshots and manual exports, to dynamic, automated insights and dashboards.

By mastering the Web connector and Power Query Editor, you can pull data from Remindo and combine it with other applications or data sources, ensuring your decisions are always based on the freshest information available.