Cloud analytics is the process of storing and analysing data in the cloud and using it to extract actionable business insights. Similar to on-premises data analytics, cloud analytics algorithms are applied to large data collections to identify patterns, predict future outcomes and produce other information useful to business decision makers.

However, cloud analytics is generally a more efficient alternative to on-premises analytics — which requires businesses to purchase, house and maintain expensive data centers. While on-premises analytics solutions give companies internal control over data privacy and security, they are difficult and expensive to scale. Cloud analytics, on the other hand, benefits from the scalability, service models and cost savings of cloud computing.

Businesses generate terabytes of data in the course of daily operations. Today, most of this data — sourced from websites, social media, IT devices and financial software, among other things — exists in the cloud. Cloud analytics tools and analytics software are particularly efficient for processing these huge data sets, producing insights in easily digestible formats and creating insights from data in the cloud available on demand, resulting in a better and more streamlined user experience.

Cloud analytics tools and analytics software are particularly efficient for processing these huge data sets, producing insights in easily digestible formats on demand that result in a better and more streamlined user experience.

Our Plan

• Genflip will help define your cloud roadmap, plan and execute your migration to the cloud, then work with you to take advantage of your new cloud-based solutions.
• Genflip has experience across different industry verticals life science and healthcare, financial services.
• We promising a frameworks to help reduce rework, reduce cost and reduce overhead.
• Our cloud certified developers and program managers work with you to develop applications that leverage cloud native technologies.