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Hi there,
I am struggeling with the way i want/can report data i have. And i can use some help with the way to approach this. I believe i have two options;
The Case
Based on a main table i have generated 9+2 tables with queries to gather specific data from the main table. The 2 tables contain details of products deliverd to late or running past date. 9 tables contain counters for a productcategory, product, year, quarter, number of products, avg time producing.
I want to show management a couple things so they can act based on the data
productcategory | product | year | quarter | num products in RTA | avg prod time in RTA |
category 1 | product a | 2023 | q4 | 15 | 8,00 |
category 1 | product b | 2024 | q2 | 50 | 3,29 |
category 2 | product c | 2023 | q4 | 10 | 5,18 |
category 3 | product d | 2024 | q1 | 23 | 2,00 |
category 3 | product e | 2024 | q3 | 5 | 6,05 |
category 4 | product f | 2024 | q1 | 156 | 157,00 |
category 4 | product g | 2024 | q1 | 235 | 50,25 |
The 9 tables all have the same collums but the last two, those have a coded collumnname for that specific data.
For example:
products in RTA and avg prod time in RTA,
products out RTA and avg prod time out RTA,
products in RTO and avg prod time in RTO,
products out RTO and avg prod time out RTO,
etc.
Two big questions,
Thanks in advance for your time.
p.s i am europe based so the , in 20,34 is the decimal marker
Solved! Go to Solution.
Hello @BenJB,
To answer your questions:
1. Yes - Combining these tables into one main fact table will make reporting much smoother. This way, you’ll have a single, consistent source for all your data. This lets you create measures more easily without dealing with multiple cross-table joins.
2. I recommend starting with summary visuals like KPIs and simple charts to show key metrics by category. You can set up drill-throughs so that viewers can click on summaries to see specific details when needed.
I would also add trendlines and slicers to help explore specific areas without the dashboard getting cluttered. This way, your report stays clean but still offers the depth needed.
Let me know if you might need any further assistance.
Hello @BenJB,
To answer your questions:
1. Yes - Combining these tables into one main fact table will make reporting much smoother. This way, you’ll have a single, consistent source for all your data. This lets you create measures more easily without dealing with multiple cross-table joins.
2. I recommend starting with summary visuals like KPIs and simple charts to show key metrics by category. You can set up drill-throughs so that viewers can click on summaries to see specific details when needed.
I would also add trendlines and slicers to help explore specific areas without the dashboard getting cluttered. This way, your report stays clean but still offers the depth needed.
Let me know if you might need any further assistance.
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