Process and Procedure for Effective BYOL

Benefits, Pitfalls & Best Practices

Due to the high cost around initial cloud deployments, many businesses put off software migration to the cloud, which can leave them vulnerable to regulatory retaliation. Coupled with a lack of visibility as to how many licenses they have and where they are, businesses can waste a lot of time and money before deciding to migrate.

BYOL (bring your own license) helps track which existing licenses can be applied to cloud server infrastructure and cloud applications; ultimately saving money while brining businesses into compliance.

The facilitation, deployment, and migration of end user (employees) software licenses at work to reduce cloud software spend reduces risk for enterprises being out of compliance.

Remarkably, many industries do not understand how their existing entitlements can be applied to their current cloud spend. Click To Tweet

Cask has the licensing expertise to read and interpret various software licensing contracts, helping you to apply license entitlements; covering cloud server cost spend efficiently. For a holistic view of your software assets, we identify and provide insight as to what is being utilized and where. We are also able to assist in facilitating and optimizing BYOL across several publishers.

With better metrics around over/under utilized software, you will be better equipped to make the right decisions during software procurement or contract negotiations. Our clients gain a better understanding and visibility into their licensing risks, cloud spend, and server usage through the BYOL process.

We also provide clarity on the licensing impact of migrating different applications to the cloud, so you can be confident in your decisions moving forward.

At Cask, we can right-size your software spend across several publishers by identifying gaps in utilization. Our BYOL identification, deployment and facilitation practices allow us to create cost savings for our clients by helping them assess and forecast their software usage.

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