Big data analytics is no longer just the purview of big companies with big budgets. Increasingly, cloud computing gives small companies an affordable and easy-to-use way to find out how big data can help grow their existing business or uncover new opportunities. Because cloud computing removes the need to invest in expensive infrastructure to try out their new ideas, small companies no longer face barriers to big data innovation.
Infrastructure-as-a-Service (IaaS) providers such as Amazon, Microsoft, Google along with the on-demand analytics solution vendors that support them, make big data analytics very affordable. A lot of parameters go into computing the exact price of running big data analytics in the cloud such as usage and configuration and, of course, each IaaS and analytics vendor has its own pricing model.
So, perhaps you are now convinced that big data analytics is becoming cheap but are wondering what demand from small companies will really be. After all, don’t small companies have small data? Do they really have the skill sets required for big data analytics? Are the solutions available to these small companies really as good as what the big players have access to? The answers to these questions may surprise you.
All companies have big data whether they realize it or not.
Big data analytics functionality is likely to accelerate in the world of cloud analytics instead of being just a subset of what is available in non-cloud products. Just as users in small companies turn to IaaS to gain affordable access to big data analytics, developers of analytics software and associated plug-ins will turn to the infrastructure as an affordable way to develop and test their applications.
Ease-of-use is a major focus of on-demand solutions in general, particularly big data analytics intended for business users. On top of ease-of-use as a major design focus of on-demand solutions, technical support is undergoing a dramatic transformation.
Now really is a good time for you to be looking to the cloud, call us to help you.
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