More often, organizations are looking to the cloud for analytics. The cloud can provide flexibility, elasticity, and convenience. Organizations are using the cloud for a range of business use cases from reporting and sandboxes to production and IoT analytics, and much more. Cloud analytic services offerings are evolving too and becoming more popular – especially with business customers. As a Service (aaS) offerings can target specific subject areas such as churn-detection-as-a-service or fraud-detection-as-a-service. These can help to jump start improved business outcomes much faster than in-house efforts.
As organizations make the move to cloud analytics, more often they are thinking about a hybrid deployment to suit their needs. The hybrid cloud is a customer environment that uses a mix of public and/or managed clouds in conjunction with on-premises resources. In a recent TDWI survey, a majority of respondents were either already using the cloud or were considering it for BI and analytics. The companies that were using the cloud for analytics were using some combination of public, private, managed, and hybrid implementations.
So, what are the IT and business considerations for analytics on hybrid clouds? Join a lively panel of experts including representatives from Teradata and TDWI to discuss best practices for how organizations can accelerate analytic insight using the cloud.
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