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Cloud Analytics – 3 Basic Types and 6 Benefits

Types and Benefits of Cloud Analytics

Cloud analytics is one of the different service models available on the cloud that has become increasingly popular and a top sphere for most modern businesses, giving stakeholders a quicker time to value, agility, and the extensive use of their data across the organization.

Businesses carryout data analysis with the goal of discovering useful information, making informed decisions and conclusions. It is however, interesting to know that these processes has being greatly transformed by cloud computing through the availability of different cloud data analytics software and tools.

Cloud data analytics have given enterprises a better way to organize, manage and analyze data in a bid to  gain insights for making improved business decisions compare to how data analysis is done before the onset of cloud computing.

What is Cloud Analytics?

Cloud analytics is a service model in which data analytics and business intelligence (BI) processes take place on remote servers rather than a company’s on-premise servers. It also refers to a set of cloud-based solutions that helps businesses harness the power of the volumes of data they’re collecting.

With cloud data analytics, data analysis and its related processes such as data integration, aggregation, storage, and reporting, are fully or partially conducted in the cloud in collaboration with a cloud service provider including public cloud, private cloud and hybrid cloud.

3 Types of Cloud Analytics

 

  1. Public Cloud – here, services such as virtual machines, storage capabilities, applications, data processing and more are available publicly through a third-party. On this public cloud, IT systems sit on a multi-tenant architecture where systems are shared but data is kept private and mostly offered at a free or reduced cost.
  2. Private Cloud – this is a proprietary cloud reserved to select users of one organization, offering the same advantages as a public cloud but much more expensive. These are implemented when data privacy and security are a top priority.
  3. Hybrid Cloud – The third option is a combination of the two above and are mostly implemented to help organizations maintain sensitive data kept in the private cloud while the non-sensitive data can be kept in public cloud.

Benefits of Cloud Analytics

  1. Centralized Data: larger enterprises have many scattered data sources, across platforms such as CMS, ERP, marketing automation and countless other systems, which can make it a bit difficult to get a complete view of the business. A cloud data analytics solution brings all of a company’s data together to help achieve maximize insights for everyone across the organization.
  2. Reduced costs: an in-house analytics solution can be extremely costly, especially for smaller organizations. With cloud data analytics, organizations don’t need to purchase hardware and provide continuous support, as well as ongoing upgrades etc.
  3. Scalability: cloud data analytics gives business the ability to turn services on and off as needed and it makes scaling up capacity easier as business grows by simply increasing number of subscriptions as opposed to purchasing new hardware.
  4. Maintenance: in cloud data analytics solutions, updates and upgrades are performed automatically which implies that organizations don’t have to worry about ongoing maintenance associated with on-premise servers.
  5. Easy accessibility: Data in the cloud can be accessed by both employees and external stakeholders as opposed to managing access from disparate data sources which requires more resources. Also, governance controls can be put in place to control access to the right people in the cloud.
  6. Improved collaboration: collaboration between employees is realistic because of ease access and centralized data in the cloud, which is why cloud data analytics is a good fit for companies. Employees can easily transfer files and collaborate in real-time from anywhere in the world.

Conclusion

Business owners would most likely prefer cloud-based analytic tools over traditional on-premise business intelligent process because cloud analytics is less expensive, less complex, quicker and versatile.

If you are considering taking full advantage of the cloud, be it a new bee or you are already using the cloud, choose Podtech as your partner on your cloud journey. Our cloud services cover the needs of corporate firms, businesses, organizations and government entities, addressing a large range of cloud application and infrastructure needs including CRM, ERP, data analytics, database, compute, network, and data storage.