Companies are rapidly moving analytics workloads to the cloud
More than ever, businesses are moving their data and analytics capabilities to the cloud – and for good reason. Nearly 80% of companies estimate that 50% – 90% of their data is unstructured. The cloud makes it easy to aggregate and organize all your data – structured and unstructured – and analyze it to make better decisions.
When cloud workloads are architected optimally and can access the right data, your organization can make faster and more informed decisions, accelerate digital transformation, and vastly simplify the deployment, maintenance and adoption of analytics across the enterprise. Your stakeholders will thank you, as cloud analytics can also support faster innovation, ideation, collaboration and information sharing.
When you opt to run analytics in the public cloud, the cost and efficiency savings add up quickly, too. According to Accenture, businesses can reduce their total cost of ownership (TCO) by as much as 40% by migrating their business to it 1 . It also removes the internal challenges of getting environments up and running and simplifying access to software and fragmented data, which, in turn, increases the speed of insights and innovation. By bringing together data from across the enterprise – both structured and unstructured – near where cloud analytics run, you can minimize public cloud costs and optimize performance.