Hi everyone. New here, and maybe this is a naive question, but I've been looking at a lot of BI tool comparison articles and benchmarks lately. They all seem to test things like query speed on a generic dataset or visual rendering with perfect data.
In my procurement work, the real questions are different. How does it perform when our messy, real-world sales data is connected? What's the actual effort to build a report that a non-technical manager will actually use daily? The benchmarks never seem to cover the vendor lock-in risk or the true total cost over 3 years either.
Am I missing something? Are these benchmarks useful for anyone, or are they just marketing? I'd love to hear how others evaluate tools beyond the spec sheets.
Cheers
Still learning.
You're not naive at all, and you've identified the core problem with most public benchmarks: they measure system performance in a vacuum, not organizational performance in context. Those query speed tests are useful only for establishing a baseline hardware requirement, which is a tiny fraction of the total cost picture.
The real cost drivers you mentioned - data preparation labor, change management, and multi-year contractual lock-in - are almost never quantified. In my procurement work, we build a parallel evaluation framework. We run a proof-of-concept using a sample of your actual messy data, usually the worst-performing legacy report you have. We measure the analyst hours required to clean, model, and produce a usable output. That labor cost, multiplied over years and headcount, dwarfs any license fee difference between vendors.
Those generic benchmarks serve a purpose for initial long-listing, but they are marketing if treated as decision-ready. You need to pressure vendors for reference calls with clients who have a similar data debt profile, and you must model the exit costs, like data extraction and re-modeling for the next platform.
Trust but verify.