Modernizing Legacy Systems: A Strategic Imperative for Leaders in a Rapidly Evolving World
Outdated systems can hold organizations back, limiting their ability to compete, innovate, and respond to market demands. Modernizing legacy systems...
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In a perfect world, analytics infrastructure should change together with businesses requirements. So, as business challenges evolve, so too should the technology that provides the analytics critical to business success. Unfortunately, organizations that rely on standard SAS software (and some may have been hooked as far back as 1972) must deal with exorbitant prices, vendor lock-in, and constrained scalability. The answer?
New developments in open-source, zero-code SaaS platforms like UBIX mean that SAS modernization projects can be tackled with a data intelligence cloud that reduces dependencies on proprietary systems and the costs of dedicated tools and resources. So, the good news is that you won’t have to wait months or even years to realize the benefits of an intelligent cloud for your SAS modernization initiative.
The short answer to this question is that a typical reduction in total cost of owner (TCO) over three years will approximate $37.5M which translates to an 88% reduction. In the attached chart, which provides an illustrative use case, you can see that current state SAS requires an annual license fee of $10M which sets up a minimum $30M 3-year TCO. The recommended transition to SAS Viya will actually increase TCO and continue to lock you into proprietary architectures with a 3-year TCO of $42.5M. The good news is that modernizing with a Data Intelligence Cloud for AI will generate a 3-year TCO of $5M which provides that 88% reduction identified above.
These savings are realized by:
You can also realize the following benefits
One of the most common objections to attempting a SAS modernization project is the potential disruption to current business operations. This can be minimized by following this recommended approach:
Vendors like UBIX deliver on the promise of a zero-code, highly scalable and flexible cloud architecture that leverages the best-in-class cloud technologies to support modern data workloads, including analytics, AI, and ML. A perfect fit for any AI transformation or intelligent cloud project. With an architecture that is designed to adapt to the varying demands of large financial services enterprises, allowing them to scale up or down based on their specific requirements. In doing so you will realize long-term value creation with:
Start by learning how GenAI and emerging advancements like Reinforcement Learning can deliver on the promise of a data intelligence cloud for life sciences industry analytics has never been easier. Download our free eBook titled “Solving the Problem of Data and Decision Making” to help better understand the nuances of emerging AI concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AI Readiness Workshop, you can contact one of our AI experts today.
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