Last but certainly not least is Level 6, where we provide enhanced data to allow entitlement grade reporting, enabling deep technology optimization via an SLM tool. We've built a framework around data analytics on the back end so everything that has to be processed can be done so efficiently, and we have a team that reviews the CRM data. This team works hard to ensure that it's fit for the Renewal Manager, and that everything is then reflected in PyraCloud. Lastly, we make sure PyraCloud is giving the right information to customers. We also have publisher experts who make optimization recommendations through the QBR, which are also funneled right to you.
Also included in this level is data entitlement and enrichment. The customers that we're transacting with may or may not have a Software Lifecycle Management (SLM) tool in place. With an SLM consultant on demand, we are able to commit to future-proofing the data. The idea is to natively export and migrate the data into an SLM tool that can track entitlement, inventory, and consumption. Then, based on this comparison, we will be able to tell you such things as whether or not you're in compliance or whether you can optimize or consolidate.
It is important that the entitlement data has a consultant with competency across technology and commercial transformations in order to interpret the data and properly upload it into the SLM tool. Therefore at SoftwareONE we’ve put that intelligence and enrichment into our procurement data. The result? If you have an SLM tool, you can carry out native migration, eliminating a lot of the hard work up front.
What if you don't have an SLM tool? No problem. Since we've future-proofed this data, we can start advising and consulting with you right away. We are here to be your trusted advisor so you can spend more time improving your software asset management (SAM) maturity.
At this level, it is also a good time to look at the tools you have in the market and realize the value of an SLM tool. What we’ve found is that customers typically buy the tool, try and implement it, and perhaps don't implement it correctly — or don't input the right data — and really struggle with it. Now, what we know moving forward is the time to value for an SLM tool, thorough optimization, and deep savings come from having good entitlement data.