Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hello,
Would anybody know how to build this results table below using the product discount, customer and sales tables? How do you relate these 3 tables and what formula/statement to use? Thanks.
RESULTS TABLE
| Customer# | Discount Level | Product # | Special Price |
| Cust 1 | Bronze | B1 | $30 |
| Cust 1 | Bronze | B3 | $5 |
| Cust 2 | Gold | B2 | $100 |
| Cust 2 | Gold | B1 | $10 |
| Cust 3 | Silver | B3 | $3 |
PRODUCT DISCOUNT TABLE
| Product # | Discount Level | Special Price |
| B1 | Bronze | $30 |
| B1 | Silver | $20 |
| B1 | Gold | $10 |
| B2 | Bronze | $150 |
| B2 | Silver | $125 |
| B2 | Gold | $100 |
| B3 | Bronze | $5 |
| B3 | Silver | $3 |
| B3 | Gold | $1 |
CUSTOMER TABLE
| Customer | Discount Type |
| Cust 1 | Bronze |
| Cust 2 | Gold |
| Cust 3 | Silver |
SALES TABLE
| Customer | Product # |
| Cust 1 | B1 |
| Cust 1 | B3 |
| Cust 2 | B1 |
| Cust 2 | B2 |
| Cust 3 | B3 |
Solved! Go to Solution.
Hi,
Merge Table 2 into Table 3 based on the Customer column to bring over the Discount type column into Table 3. Merge Table 3 into Table 1 based on the Product # and Discount type column to bring over the Customer in Table 1. Now build all your visuals from Table 1.
Hope this helps.
Hi @Ashish_Mathur ,
Thank you for your quick reply. In merging table 3 into table 1, what do you mean by based on Product # AND Discount Type column? How do you achieve this merging using in a query, based on 2 columns? Thanks again.
Hi,
In the Query Editor, select Merge queries and then select the common columns of both tables.
You are welcome.
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 21 | |
| 20 | |
| 15 |
| User | Count |
|---|---|
| 58 | |
| 55 | |
| 43 | |
| 30 | |
| 24 |