So you’re shopping for a Software Asset Management tool. One of the things you’re certain to hear during presentations and demos is how quickly you can get to SAM nirvana. With their tool, you just enter your purchase details and any discovery data you have about software installations and voila! Magic happens behind the scenes and your SAM challenges are vanquished. Their tool is the mythical “easy button”.
Migrating business processes and applications to the public cloud enables companies to move away from paying for and maintaining their own infrastructure. When an organization is considering moving to the cloud, what is the best source of data for migration planning? It’s often the data generated by the IT Asset Management (ITAM) program. ITAM data is integral to building the business case for migrating to the cloud.
Does your organization have a process in place for re-using or harvesting software licenses? For example, when a desktop or laptop is retired, what happens to the software licenses that reside on the machine? With a reliable harvesting process, the software assets that can be re-assigned should go into a pool of available licenses for re-use. A Software Asset Management (SAM) tool that manages licenses and monitors application usage can help automate the process of harvesting.
Over the past several years, organizations have been moving more and more internal business processes to the cloud in an effort to reduce infrastructure and labor costs while increasing efficiencies. While this approach may meet these main objectives, it creates Software Asset Management challenges.
Historically, IT organizations have suffered from the silo effect in which IT Asset Management (ITAM) and IT Service Management (ITSM) functions operated separately and information between the groups and supporting systems was not shared or integrated.
Effective Software Asset Management (SAM) begins with the collection of data – data on your IT hardware and software assets as well as specific attributes about them. Ideally, this raw data is collected via an automated discovery tool and then fed into a normalization engine that transforms the data into software license titles. The normalization process can be done through a SAM tool or manually…regardless of how it is accomplished, the discovery data needs to be complete and accurate in order to gain the most value from your SAM program.
Eracent and our trusted partner Konnagar recently presented two Oracle license management webinars – “Managing Your Oracle ULA” and “Oracle License Optimization: Saving Money, Reducing Risk”. The participants posed a few interesting questions, so we thought we’d extend a few of those questions and responses to this forum.