Using the cloud in the right way for your strategy can help you realize the value of your data faster, easier and more cost effectively – especially when combined with a high-performance, cloud-first analytics database. So what are the questions you should ask when considering the cloud?
How does the cloud influence data analytics and data strategy?
While a cloud solution can change your business’ infrastructure, it isn’t the only option. And who can predict what platform will be best suited to get the most from the next generation of game-changing technology?
Your data strategy might change at some point with applications better suited to run on-premises. So always choose flexible technologies that can work with different cloud solutions – and always keep your own data center in mind.
What’s the best cloud strategy for enterprise?
The cloud is currently best for scalable applications, for data lapse and to create an extension of your own data centers.
But most of our customers adopt a hybrid cloud strategy – getting the best out of each deployment option for their specific needs. For example, some use a public cloud but still find the operational analytics layer of their high-end enterprise data warehouse (DWH) is more secure and performs better with on-premises solutions.
How do you get maximum value out of your data?
It’s important that standard DWH techniques work efficiently with the data you use. You can increase the potential of this power with today’s data science, artificial intelligence (AI) and algorithms.
And better still, if you have the technology to apply statistical models directly using data science then you can really get the best out of your data.
Why are speed and performance so important?
Speed and performance are key to helping organizations become truly data-driven. They enable you to create insights in near real-time. This allows your business to react in an instant. Instead of sending a query, and then having to wait ages for a response, you can interact with the data there and then.
Our customers apply the unrivalled performance of our analytics database, transforming how they work with data. Having access to all this analytics power when they need it, helps them scale up. Dozens, even hundreds of users are able to access the data at the same time. This democratizes the usage of data analytics and optimizes your business processes.
Is cloud analytics cheaper than on-premises?
Cloud services often look affordable on paper but a heavy load of high-performance data analytics can make them very expensive. So keep an eye on the pricing model – no data-driven company should be penalized for applying data analytics.