When faced with complex software selection choices, navigating the numerous factors involved can be difficult. That's where Multi-Criteria Decision Analysis (MCDA) and Decision Matrix Analysis (DMA) come into play. Both methods provide structured and transparent approaches to evaluating options, but they differ in complexity and suitability for different types of decisions.

Sigh...in the blink of an eye, AWS now has hundreds of thousands of SKUs, 180 different types of services, 17 different ways to launch a container, and has dozens upon dozens of regions and availability zones. No wonder AWS billing has become so complex to understand. Is there a fix?

I’m LV, co-founder and CEO of Taloflow, a technology selection platform built for the AI productivity era. I’ve spent more than a year interviewing over 200 enterprise IT procurement professionals and IT and Engineering decision-makers and have found that the space of software selection and procurement is undergoing a sea change in expectations. Based on the interviews, I’ve determined nine steps in the software procurement lifecycle, but these are more fluid than ever.

The world of enterprise software, SaaS, and cloud platforms has gone through a Cambrian explosion in the last half-decade, as the number of solutions available nearly doubles every two to three years. Meanwhile, the locus for decision-making has been pushed deeper into the organization, and the number of constituents impacted by each decision has also increased when choosing the right software vendor for the use case.