BI Trends

3 Steps to Maximize the Benefits of Cloud-based Analytics

Too often, organizations get caught up in the limitations tied to deploying and managing enterprise-scale cloud analytics. They worry that the deployment will be complex or require a large amount of IT resources. Organizations can maximize the inherent value of running analytics in the cloud by adopting a few general guidelines and adapting them to fit their individual needs.

A new QuinStreet report, Benefits Abound When Moving Analytics to the Cloud, notes that once cloud-based analytics are in place, platform management tools should be used to their full advantage to reduce ongoing costs. For example, centralized management (like that available through MicroStrategy on AWS) can help avoid the inefficiencies that would be associated with operating and maintaining multiple redundant tools.

In practice, optimizing cloud platforms for cost-efficient analytics involves three core elements:

Empowering Business Users: Businesses place a premium on speed. The ability of platform users to put new processes or capabilities in place without involving IT can add significant value. “Self-serve” mechanisms can eliminate roadblocks and boost productivity by allowing non-technical users to create dashboards and reports without having to write code or get help from IT – reducing the cost of turning data into actionable results.

Providing Specialized Mechanisms for IT: It’s important to give business users the ability to meet their own requirements, but it’s also necessary to recognize that more technical users have separate needs that may be more complex. Therefore, best practices include providing mechanisms for IT and other technical users to perform advanced tasks like creating, deploying, and managing cloud environments.

Automating Migration to the Cloud: Many organizations that currently operate on-premises analytics infrastructure slowroll moving those systems to the cloud because of migration complexity and cost. Centralized cloud platforms offer a level of automation that relieves an organization from the need to manually move objects one by one or to stand up additional instances for the purposes of migration. Choosing a cloud-management platform that provides such functionality can save substantial staff time and company money.

Want more expert advice and actionable insights on taking full advantage of cloud computing? Download the QuinStreet Report: Benefits Abound When Moving Analytics to the Cloud.

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