Colleagues have shared cautionary tales of offers of “all you can eat” software for the first year of a contract, only to have to pay for more licenses than expected in years two and three. Whenever considering promotional pricing, be realistic about the magnitude of the “free” software adoption and the impact of those licenses on the pricing in subsequent years.
Utilization Assumptions: Pricing and budgeting are iran rcs data predicated on a set of assumptions about how the software will be used. Will those employing the tools use them in the way that you expect? Were those assumptions developed in consultation with the user community, or were they developed in consultation with a calculator and a spreadsheet?
How realistic are the utilization expectations? Imagine a scenario where a single BI tool is being replaced with a suite of several tools, each with its own niche: one for querying and reporting, another for visualization, and a third for AI and advanced analytics.
Baked into the price offered was the assumption that most users would access the simple reporting tool, fewer would use the visualization tool, and just a couple would need the AI and advanced analytics tool. But ask yourself how much you are counting on the users optimizing their own tool selection to achieve cost savings. If you’re counting on that at all, you’re likely to be disappointed. of least resistance, learn a single tool, and apply it to as many of their use cases as possible. Even if it’s not the most efficient or cost-effective way. That’s not their concern. They just want to get the job done.