Artificial Intelligence & Machine Learning
Modern Software Asset Management
Optimizing SaaS Costs: Harnessing modern SAM solutions to reduce overspending on SAAS licenses
Avoid overspending on SaaS licenses.
According to the 2023 State of ITAM Report, nearly one-third of SaaS licenses purchased by organizations go underutilized or wasted. A modern Software Asset Management (SAM) solution can help your organization gain visibility, intelligently predict your SaaS license needs and avoid overspending. Snowflake has developed a SAM solution based on its own platform, saving the organization $5.5 million in its first year of adoption.
Infostrux brings this modern SAM solution to its customers. The solution identifies SaaS license underutilization and improves license provisioning and de-provisioning. The result is reduced license spending. This solution is natively deployed within your existing Snowflake environment, enhancing the return on your Snowflake investment even further.
Key outcomes
Reduce overspending on unused SaaS licenses without impacting user satisfaction
Enable the automation of SaaS license provisioning and de-provisioning process
Demonstrate a quick win by implementing a data solution resulting in a high business impact
Gain visibility into your SaaS license spending
Our experts can use your existing data platform or build a new solid data foundation on Snowflake by leveraging our best-in-class data architecture, data engineering and modeling practices tailored to your needs
Key outcomes
Reduce overspending on unused SaaS licenses without impacting user satisfaction
Enable the automation of SaaS license provisioning and de-provisioning process
Demonstrate a quick win by implementing a data solution resulting in a high business impact
Gain visibility into your SaaS license spending
Our experts can use your existing data platform or build a new solid data foundation on Snowflake by leveraging our best-in-class data architecture, data engineering and modeling practices tailored to your needs
Activities
Phase 1 - Gain Visibility
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Review & document current and desired future state, including data architecture & models.
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Setup Snowflake Data Cloud accounts and configure Cloud environments, including extractor infrastructure, security and CI/CD automation
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Implement an end-to-end data flow resulting in ready-to-use data sets and SaaS usage visualizations
Phase 2 - Predictions and Automation
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Extend the solution architecture to support AI/ML workloads
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Configure machine learning models to predict the SaaS license usage
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Setup fully automated MLOps pipeline to monitor and retrain models as needed
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Setup automatic provisioning and de-provisioning workflows using reverse ETL*
*Optional activities
Are you ready to leap forward with your data?
No matter where you are in your data cloud journey or what industry you come from, our team of experts is ready to embed themselves into your existing structure, pinpoint the value in your data, and help you achieve your business goals.
True innovation with your data awaits. Are you ready?