Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
I am connecting to SSAS Tutorial database. After draging a date backed (date column as key) member into filter and selecting advanced fitler, I still see string operators (starts with, contains, etc.). Is that possible to use date comparison operators (before, after, between, etc.) to filter date members? Also, can I use numeric comparison operators (less than, between, etc.) to filter integer backed members?
Solved! Go to Solution.
Hi @xsgao_pbi ,
so your settings are like in this post?
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
Hi xsgao_pbi,
It seems that you are using Multiple-dimension datasource, right? If so, when you use import model, it will consider it as text or int, so you need to change its type in powerbi by modeling. If you use live connection, it should have column like date key.value which is your value column in database and it should be date, you could use this in slicer.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @xsgao_pbi ,
has your question been answered?
Regards,
Marcus
Dortmund - Germany
If I answered your question, please mark my post as solution, this will also help others.
Please give Kudos for support.
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
Hi @xsgao_pbi ,
I don't know your ssas toturial database, but if the columns have the correct data type, the filters should be available.
If I answered your question, please mark my post as solution, this will also help others.
Please give Kudos for support.
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
Hi @xsgao_pbi ,
try to create a separate Attribute in the Dimension witch based on the Date Column.
If I answered your question, please mark my post as solution, this will also help others.
Please give Kudos for support.
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
I see your point of testing a date column backed attribute. But I did not create this SSAS database so not sure where to add one.
But in the existing case, it's an integer column backed attribute (key is integer, value is date) and I cannot see integer comparison operators. So I believe to create another attribute that is based on Date column won't give me the date comparison operators in Power BI.
Hi xsgao_pbi,
It seems that you are using Multiple-dimension datasource, right? If so, when you use import model, it will consider it as text or int, so you need to change its type in powerbi by modeling. If you use live connection, it should have column like date key.value which is your value column in database and it should be date, you could use this in slicer.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @xsgao_pbi ,
so your settings are like in this post?
Marcus Wegener works as Full Stack Power BI Engineer at BI or DIE.
His mission is clear: "Get the most out of data, with Power BI."
twitter - LinkedIn - YouTube - website - podcast - Power BI Tutorials
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!