Disaster Recovery as a Service
Make your cloud implementation more resilient and stable with efficient and affordable Disaster Recovery as a Service.
Disaster Recovery is instrumental in maintaining brand reputation and customers' confidence as your business embraces multiple cloud strategies. The Disaster Recovery as a service (DRaaS) model allows you to backup your business infrastructure and data distinctly and orchestrate efficient and swift recovery in case of disaster. This service is an integral part of cloud implementation and often comes as a package with that. Backs are automated and recovery can be achieved anytime from anywhere. Glorious Insight provides reliable DRaaS that can be initiated in a few clicks and kicks-in in no time. We restore your systems quickly and ensure your business continuity. Our services ensure recovery under any circumstances be it a natural calamity, power outage, equipment failure, or cyber attack with several benefits.
Comprehensive recovery and disaster management
Wide-range compatibility
Tailored RPO/RTO
Provisioning on the go
Policy-driven sync
Disaster recovery testing automation
What’s business analytics and why data science is important
Although the terms business analytics and data science are used interchangeably, there is a fine line that differentiates them. Business analytics is a statistical study of structured business data to address a specific business problem. On the other hand, data analytics address a wider range of problems using technology, statistics, and algorithms.
All the business analytics programs and data analytics projects have common goals of elevating efficiency and productivity for larger revenue generation. A combination of these techniques is used to filter out useful data and use the leverage it to plan strategies or solve specific roadblocks. In the present day and age, data is the biggest asset for every business. Massive amounts of data linked with intriguing patterns govern the predictions and planning for the future. Using mathematical models to quantitatively analyze these Sophisticated datasets explains what’s business analytics.
Technologies like artificial intelligence and neural networks help in a better understanding of data. It allows you to learn deeper, identify patterns, and micro-segment complex data. Data analytics tools enable you to precisely understand and predict market trends and consumer behavior. These authoritative tools have completely renewed the way strategy-making is perceived in businesses.
Innovative services through the combination
Business analytics and big data analytics have completely refashioned the way businesses are run. Studying huge datasets has become easier and more efficient. You can deduce accurate and interesting information that impacts your judgment.
All the business analytics programs and data analytics projects have common goals of elevating efficiency and productivity for larger revenue generation. A combination of these techniques is used to filter out useful data and use the leverage it to plan strategies or solve specific roadblocks. In the present day and age, data is the biggest asset for every business. Massive amounts of data linked with intriguing patterns govern the predictions and planning for the future. Using mathematical models to quantitatively analyze these Sophisticated datasets explains what’s business analytics.
Business intelligence
Business intelligence is focused on finding the actionable data and providing precise insight into it for decision making. The best tools for business analytics forms an ideal decision support system by delivering the right information, at the right time, in the right way. It enables decision-makers on all levels to make an informed call rather than relying on their gut feeling. It minimizes the risks. Data is delivered in different combinations to drive innovation and get more timely and economic solutions.
All the business analytics programs and data analytics projects have common goals of elevating efficiency and productivity for larger revenue generation. A combination of these techniques is used to filter out useful data and use the leverage it to plan strategies or solve specific roadblocks. In the present day and age, data is the biggest asset for every business. Massive amounts of data linked with intriguing patterns govern the predictions and planning for the future. Using mathematical models to quantitatively analyze these Sophisticated datasets explains what’s business analytics.
Your choices in disaster recovery services
Glorious Insight is among the leading DRaaS providers across the globe. We cater customized solutions specifically tailored to meet your business needs and anticipated risks. We offer disaster recovery services in different models that we configure to align with your business.
Why choose Glorious Insight for Disaster Recovery as a Service?
Enhance RPO/RTO and greater resiliency
We delegate you the control over cost and availability with several RPO/RTO options. You can opt for a quick recovery of crucial applications and cost-effective recovery for secondary ones. Our resources are launched in minutes and your applications are up with minimum RTO and maximum performance.
Elasticity in the physical and virtual environment
We adopt a heterogeneous approach to implement back up and disaster recovery. We allow clients to dynamically scale cloud and physical resources to adjust to fluctuating computing needs. It ensures higher performance and availability in the cloud environment.
Tailored clouds with SLA
We craft tailored disaster recovery services based on your potential risks and recovery requirements. Our services deliver holistic support by integrating recovery systems with clouds. We ensure recovery in a predictable time and at predefined performance backed with a well-crafted service level agreement.