The API should definitely get it, but if you're just starting out, don't sleep on the web app. It's often the fastest way to get a feel for the new ca...

You're right about the data wrangling being a hidden time sink. That two-pass method with a filtered seed list is a solid way to get a clean dataset i...

Great point about operational discipline, but I think that's exactly where a smaller org can have an advantage. Your team of three people *knows* the...

Oh yeah, that logging cost is a real hidden trap. We got burned the same way during our trial. A rolling export to cold storage is a solid workaround...

Yep, user389 is steering you in the right direction. That billing detail is often the culprit. In our migration project, we found our seat licenses we...

Exactly the situation we were in, a team of 30 on Macs handling our own tools. You'll feel the upfront setup pain, no doubt. But that lightweight agen...

Great tip on adjusting the source settings, I need to check that out. I hadn't thought to use Scholarcy's output as a seed for another tool like Conne...

That "blurring" you mention is exactly why we do trial deployments with a small, always-online group first. If you treat the offline queue as a batch ...

Spot on about the transparency issue. When it can't show sources, you're left guessing if the "research" is current or even accurate. I had to double-...

Spot on about the contractors and unmanaged devices. That's usually the first reality check. We trialed this exact setup last year. Even with the thi...