Cloud data analytics solutions are the saviors of enterprises managing massive data sets.

The adoption of cloud-based setups is set to intensify as most company CTOs are no longer willing to use local on-premises systems for various reasons.

The role of cloud analytics was made known when companies began using BI (Business Intelligence) solutions for quick and easy decision-making.

With a range of unstructured data to collect, manage, analyze, and preserve, leveraging cloud-driven big data analytics & insights can be more profitable than other approaches.

Almost 80% of the global data stored in the enterprise system will be unstructured by 2025. In such a scenario, storing & identifying a huge amount of unstructured data to define global trends, consumer demands, & competitor strategy may turn out to be more challenging than it seems.

Despite all the ifs and buts, switching to cloud-based analytics is a great idea for businesses wanting to make future-proof decisions and stay ahead of the competition.

The Banking, Financial Services, and Insurance (BFSI) sector holds the largest segment of the global cloud analytics market. It's worth discussing why.

What is Cloud Data Analytics? How Does It Work?

The process of arranging and analyzing data in the cloud rather than local on-premises storage is referred to as cloud data analytics.

Using cloud computing for big data analytics empowers organizations to access, aggregate, and analyze both structured & unstructured data in one place.

Cloud analytics help businesses handle a huge collection of data and identify errors in ongoing operations. This ensures a better analysis of data trends and the early discovery of potential risks for predictive maintenance.

Source by: https://www.bluent.net/blog/guide-to-cloud-data-analytics/