how many fact tables do I need given I want to build an OLAP for Quotation Line Item and Purchase Order Line Item report?

My client wants a report that looks something like this on a daily basis.

+---------------+-------------------------+-----------------+---------------------+-------------+
| ProductNumber | QuotationLineItemNumber | QuotationNumber | PurchaseOrderNumber |   Status    |
+---------------+-------------------------+-----------------+---------------------+-------------+
| PRD-1         |                       1 | Q1              | PO1                 | PO received |
| PRD-2         |                       2 | Q1              | PO1                 | PO received |
| PRD-3         |                       1 | Q2              | NA                  | Awaiting PO |
+---------------+-------------------------+-----------------+---------------------+-------------+

My system is able to do the daily processing of QuotationLineItem and PurchaseOrderLineItem fairly okay.

The issue is with reporting which leads me to do many joins which is crazy.

I have looked at the Kimball book 3rd Ed of Data Warehouse Toolkit: Dimensional Modeling.

I am convinced that I need to have a separate database instance which is meant for OLAP situations to satisfy the reporting requirements.

Because of this, I need to design dimensional and fact tables.

My question is, it appears that I have at least 2 fact tables. QuotationLineItem and PurchaseOrderLineItem.

How do I generate a report like the above? Because from what I understand fact tables are not supposed to have foreign keys to each other else I will get back a snowflake schema.