Data analytics is the process of collecting, organizing, and analyzing massive sets of data (big data) in order to uncover patterns and other relevant information that will assist you in identifying the data that is most significant to the organization and future business choices.

Cloud analytics, on the other hand, allows businesses or individuals to undertake business analysis or intelligence procedures utilizing cloud models such as SaaS business intelligence (BI) and cloud-based social media analytics.

Cloud analytics is a cloud service model that performs data analysis and related services on a public or private cloud. Any data analytics or business intelligence procedure carried out in partnership with a cloud service provider is referred to as cloud analytics.

Software as a Service (SaaS)-based business intelligence is another name for cloud analytics (BI). Cloud analytics is a cloud-based service that allows a company or individual to undertake business analysis or intelligence.

How to utilize Cloud Analytics?

Cloud analytics has a number of advantages, the first of which is the flexibility it provides for businesses. On-premise solutions are typically custom-built, and scaling gets costly when additional storage is required. 

Furthermore, cloud analytics provides a more adaptable solution for businesses with changing analytics needs. Furthermore, cloud BI solutions enable faster access to real-time data, allowing for better insights and more accurate decision-making.

Because of the data's timeliness, many firms employ cloud analytics for social media and online traffic. Social media analytics tools enable businesses to make choices on the fly and visualize how various campaigns and tactics are doing in real time. 

Understanding the real data accessible with cloud-hosted BI solutions for websites enables enterprises to continually alter and fine-tune their user experience, as well as reveal any faults or friction spots that their users encounter.

Data warehousing is another prominent use for cloud analytics. Data warehousing on-premises pushes data to travel further before being evaluated in firms that employ cloud analytics. 

Instead, cloud-based data warehouses enable businesses to directly gather, cleanse, and prepare data for analysis as soon as it arrives. This helps to save resources while also providing superior intelligence.

Summary

Cloud analytics is essentially a type of data analytics in which either data or processing, or both, is housed on the cloud. 

Aside from the hosting platform difference, I believe cloud analytics provide greater flexibility, agility, and cost-optimization than traditional data analytics.

As the amount of data in the cloud grows, cloud analytics solutions are gaining popularity in the Business Intelligence market.