Hello all, I have what I hope is a simple question. We have a database that can be boiled down to the image below. Each entry has a date (YYYYMM) and whatever the monthly member count is for that entry (Members). We want an average member count o...
Can you give me some tips on how to connect an elasticube to a PI Historian server? Is there an add on for PI Historian that I need? We want to combine data from an Oracle database with PI Historian data to show both in a dashboard.
Question for y'all: How do you maintain consistent calculations of key metrics? Custom columns in the data model won't work b/c I need aggregations that can be easily filtered (e.g. can't add activation % to my base table b/c my stakeholders want to ...
Hi,I have a use case were I have this tableI want to plot in a chart in continues dates (i.e. from the minimum date of launch_time to the current date).e.g. 1/1/20 - 1/12/22 and count the number of instances that were alive in a certain date based on...
We are using enterprise version of Sisense using another UserName , when we connect directly from Sisense source connection MsSQLserver we are able to successfully login Azure cloud SQL(this is the vendor cloud- where the Sisense IP is whitelisted in...
What is the best approach in Sisense for sharing benchmarking information while maintaining customer confidentiality? When I was a Sisense customer a key differentiator for us was showing our customers how their performance metrics compared to others...
We have a lot of very detailed information available for our users, and there's often a need to drill into these details from the dashboard.There's variety of techniques available for this; we usually use the Jump To Dashboard feature to link to more...
I was looking for a way to analyse EC Builds in an easy way to identify where potential bottlenecks within the buildprocess could be. I have created a python script which exports EC build logs (can only export latest build logs) to JSON and converts ...
What is the best way to improve performance of live data models where granular data nodes are required and contain millions of records?
What's the best way to think about sizing and configuration for a scalable SaaS B2B company with 50+ clients? Either in AWS or Azure hosted by company (Not Sisense hosted). At what point should servers be load balanced?
