YäRKEN
YäRKEN is an IT Cost Transparency platform that connects the dots between IT and Business using defensible data as a repeatable process utilising an intuitive interface, no code platform enabling a rapid setup.
Our platform provides a digital modelling software service enabling transparency for IT spend and value metrics utilising the Technology Business Management (TBM) global best practice IT business framework.
Helping you Connect the Dots Between IT Investments and Business Success
Start your free trial today. Transform by next week.
How
Utilising frameworks such as FinOps and Technology Business Management (TBM), adopted by Fortune 500 companies globally, YäRKEN provides defensible and repeatable data into a single source of truth with solutions that provide the level of cost transparency and stakeholder engagement that is required to achieve agility, show IT and Cloud consumption, optimise spend and express business value.
Our philosophy is all about simplicity, no coding, no long learning curve, and no complexity. Our solutions allow quick setup to help IT, Cloud and Leadership teams achieve profitability and value by unpacking the black box of IT spending.
We help you understand your tech spend, make better decisions, and get more value for money.
Simply put, we’re here to make sure your tech investments really pay off.
Committed To Your Growth
Respecting Your Time
We know you’re busy and don’t want a steep learning curve, so we ensure simplicity saves your time.
Transparent Trust
Building clear, transparent partnerships to give you a complete understanding and confidence in our solutions.
Collaborative Growth
We help you achieve your business goals with a platform that evolves with your business needs
Agile Adaption
We keep you ahead of the game with solutions that respond dynamically to the ever-changing tech landscape
Simplicity
Everything we do is designed to make your job easier, not add another thing you have to worry about
Progressive Mastery
We help you start with the most manageable aspects and progressively advance to opimizing more complex areas