Bloor Research has set out to discover how data integration platforms are being used in practice. That is, what types of integration tasks they are being used for, on what scale, and whether this differs by product or vendor. Further, we wanted to get an idea of the costs involved with using different products, including both initial (hardware and license acquisition fees) and ongoing (training, technical expertise, maintenance) costs so as to try and discover the most cost-effective solutions over a realistic time period.
In particular, we have been able to combine the data we collected to arrive at an estimate of cost effectiveness based on total cost per project. For example, product A may be twice as expensive as product B but if you use it for four times the number of projects (assuming these are of equal complexity) then product A is actually twice as cost effective as product B. This is, ultimately, what we were trying to determine.