Cloud computing can significantly lower costs for data science teams by eliminating the need for expensive on-premise servers and ongoing IT maintenance. With cloud solutions, you only pay for the resources you use, which aligns costs with actual data volume growth, avoiding unnecessary expenses.

Cloud computing enhances data science workflows by consolidating databases and workloads, which reduces time spent switching between applications and minimizes data entry errors. Additionally, Software-as-a-Service (SaaS) solutions provide access to greater computing power, allowing for more complex calculations with fewer delays.

Despite concerns about cloud security, cloud computing offers several advantages, including access to advanced security features that may be too costly for in-house implementation. These features can include automated compliance, encrypted backups, and easier network segmentation, which enhance overall data protection.