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AWS Service Catalog Case Study: Deloitte

In addition to faster deployment, using AWS Service Catalog helps clients cut costs. “Customers can easily turn instances off when they are not being used and then turn them back on again instantly when they are needed,” says Kristin Feeney, senior data scientist at Deloitte. “Simply by turning them off on nights and weekends can save clients about a third of associated cloud compute costs.”

Deloitte can control who has access to the software. “With AWS Service Catalog, we have total control over the organizations who can access our software and which packages we offer them, enabling us to meet compliance requirements,” reports Liu.

Using infrastructure as code also benefits Deloitte experts. “We have a lot of internal data science teams who need RWD capabilities,” says Kristin Feeney, senior data scientist at Deloitte. “With AWS Service Catalog, we can deploy these advanced tools in hours or days instead of weeks, without incurring additional IT costs or waiting for approvals and provisioning as we would in a traditional data center. The simplicity of deploying Miner using AWS Service Catalog also reduces our costs and our reliance on third-party tools.”

Most importantly, deploying via AWS Service Catalog makes Miner more accessible to customers and enables them to use the platform more broadly. “Previously, data scientists were typically limited to the software they already had deployed,” says Liu. “Using AWS Service Catalog, they can now spin up an instance of Miner, run the data, and shut it down again to meet short-term analytics needs,” says Liu. “They don’t need an IT team to set it up. That helps them move faster and discover medical insights sooner.”

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