The organization is now actively looking out for alternatives to their current big data infrastructure which is complex, cumbersome and at many times, difficult to manage. The cloud-based big data services provide all the necessary options to the change seekers in various tactical terms.

Let us briefly dive into the benefits of the cloud-based big data services

• Agile and flexible
  The user can easily plan for unforeseen developments and be equipped with a robust SaaS solution for faster release and go live.

• Simplified management
  SaaS-based big data services like analytics are easier to master and manage by business users. It doesn’t require experts or heavy IT infrastructure to function.

• Scalable
  Cloud-based big data solutions are scalable and can easily grow with your business.

• Access to data from varied sources.
  Users can integrate and connect data from various sources using a cloud-based solution.

• Low TCO
  Having a cloud-based SaaS solution brings down the cost to an organization in maintaining a heavy and complex.

• Easier to access data already in the cloud
  Organizations can easily access and use data already in the cloud rather than bringing the data from the cloud to their on-premise setup.

Organizations are actively looking out for a Modern cloud-based Big data analytics option that can help them harness the power of advanced data analytics. It is imperative for organizations now to migrate their big data services like data analytics to the cloud. There are many services available in the market but only a few have a stark functionality improvement over what is already being used by customers.

BizIntel360, a truly self-service big data analytics solution that combines the advantages of the cloud with the advanced capabilities of today’s data warehousing and visualization solutions. BizIntel360 is ideal for all organizations that want to leverage the power of big data without stretching their resources. BizIntel360 can scale to meet any organization’s needs. We built our solution to allow companies of all sizes to harness the power of advanced data collection, analytics, and visualization quickly. In fact, you can pull data from any data source—structured or unstructured—within hours of setting up your account. You don’t need expensive extraction, transformation, and loading (ETL) tools, bottomless IT resources, or large-scale data warehouses to put big data analytics to work.