Cloud analytics and Big data
Updated:03/06/2020 by Computer Hope
Cloud analytics is a marketing term for businesses to carry out analysis using cloud computing. It uses a range of analytical tools and techniques to help companies extract information from massive data and present it in a way that is easily categorised and readily available via a web browse
Cloud-based analytics is also called a Software as a Service model or Cloud Analytics as a Service model. Some companies use a hybrid model that keeps some functions on-premise while moving others to a cloud. Data warehouses and on-demand business intelligence are among the services most commonly offered by cloud analytic.
How cloud analytics works ?
Cloud analytics works by allowing a business to use the advanced data analytics tools available on cloud analytics platforms to analyze vast quantities of data. Businesses can then report and store those findings for repeat use. Cloud analytics offerings are typically offered as a subscription or pay on a volume of data or query basis. Cloud analytics has proven to be a faster way to gain business-critical insight for decision making.
Advantages of cloud analytics
- Cloud analytics include helping businesses more efficiently process and report data findings, enhance collaboration, and provide decision-makers faster access to business intelligence.
- Scalability, in volume of users and data, is one of the advantages of cloud analytics. Another is the increased agility to ask new questions on demand.
- Providing fast access to necessary business data by your organization’s decision-makers.
- You can rapidly explore, test, and evaluate data to find strategic insights that advance the enterprise.
- When businesses use a cloud analytics platform, they gain a central place to access data and connect to shared information whenever necessary or proactively delivered. This shared connection and fast access to data enhance collaboration throughout the enterprise.
- Cloud analytics platform improves data governance by giving you more granular access controls for who has access to what data and audit capabilities to understand who accessed what data.