Importing Bloomberg data to Power BI, however, has proved to be an amazing task, mainly because of Bloomberg's baroque data access restrictions. Nonetheless, there are ways through which one can carry this out for the use of financial analysis in Power BI, namely:
1. Bloomberg Data License (BDL) API
Bloomberg actually has a Data License (BDL) API, which provides users with direct access to Bloomberg datasets. Thus:
A Bloomberg Data License subscription is required to access it.
Use Python, C#, or Java to call Bloomberg's API to get access to the required data.
Store the data either in a database or as CSV/Excel and then import it into the Power BI.
Here's an example using Python (needs BLPAPI SDK):
import blpapi
# Connect to Bloomberg and pull data
Terminals plus Excel APIs for Bloomberg Eikon Alternate
If you own a Bloomberg Terminal, you can also have live data pulled into Excel using the Bloomberg Excel Add-in (BDP, BDH, BDS functions).
Step 1: Install Bloomberg Excel Add-in. Step 2: Use formulas such as =BDP("AAPL US Equity," "PX_LAST") to determine stock prices. Step 3: Import Excel into Power BI using Get Data > Excel Connector. Step 4: Make any necessary adjustments to enable automatic refresh to keep data current. Third-Party Connectors
Some offer APIs or ETL tools for Bloomberg-to-Power BI integration, for instance:
Fluent Finance API: A cloud middleware that extracts Bloomberg data.
Market Data Providers- A number of such financial data services deliver APIs that take Power BI into account. Using Power Automate for Data Integration
If you have structured Bloomberg data in a database (for example, SQL, Snowflake, etc.), use Power Automate to extract data from the source and push it to Power BI.
Best practices:
✔ Read the licensing terms of Bloomberg before data integration.
✔ Put an intermediate database (SQL, Azure, Snowflake) at hand to ensure structured storage.
✔ Limit refresh frequency in order to prevent excess API- call volume.
