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Leveraging the Power of the Cloud for Real-time Analytics

With ever evolving requirements and increasing customer expectations within the Data Analytics domain, it is becoming important now more than ever, to develop an in-depth understanding of the underlying trends, patterns and insights data has to offer.

Every day, at least 2.5 quintillion bytes of data is generated across the globe and with the innovation of the cloud, its accessibility has become easier, quicker and from anywhere in the world. Every industry is trying to keep up and trying its best to comprehend and get an in-depth understanding of their customers’ needs. Yes, everyone wants to leverage data to derive insights for their business. However, insights alone don’t make the cut; insights need to be actionable and allow stakeholders to take timely and more effective decisions while it matters. This is the age of real time analytics, and truth be told, there is no better, faster and more effective way to drive business value using data.

By leveraging compute and data services in the cloud, clients can now improve efficiency and resource utilization for their time sensitive and critical workflows and analytical solutions. While choosing the most suitable cloud provider that meets their business requirements for their sensitive and critical services, clients must look into the performance uncertainties that are inherent in today’s cloud models.

Key to the efficacy and optimization of the client’s solution is the cloud’s availability and compute. This is what defines and differentiates them and makes the vendor a suitable choice for real-time analytical model deployment.

Before settling on a cloud provider you can use Gartner’s ,Cloud Decisions Quick Compare feature that facilitates a quick comparison of cloud services and compute instances to best meet your use case. Cloud Compare analyzes and compares cloud services using exclusive Cloud Decisions data sets and metrics including benchmark and performance metrics, historic availability data, pricing, features, and capabilities. Services such as Alibaba Cloud, Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Cloud, Oracle Cloud Infrastructure, QTS and Tencent cloud can be compared with various compute instance options.

Using Cloud Compare you can select the most optimized and well suited cloud service to deploy your real time analytical models and be on the road to make faster, more effective and value driven business decisions on the go.

If you want to know more about Gartner Cloud Decisions, go to:



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