By 2023, the worldwide market for cloud-based business analytics software is projected to grow to $57.055 million as more and more organizations realize that the cloud is where they should be putting their enterprise-level analytics workloads. As a business intelligence (BI) consultant,
Characteristics Of Different Cloud-Based Analytics
The term “cloud analytics” refers to the practice of doing any or all of the steps involved in analyzing data on the cloud. These steps include data integration, aggregation, storage, and reporting.
You may classify cloud analytics into three categories depending on the specific cloud environment in which the data analysis is carried out. No matter which one you choose, you’ll get benefits like those listed above because of the lack of hardware expenses, scalability, and excellent fault tolerance.
Analytics Performed In The Cloud’s Public Domain
Since public cloud infrastructure expenses are shared by all cloud tenants, doing cloud research on a public cloud is the most cost-effective option. If you need to process large amounts of data, store massive amounts of data, or take use of cutting-edge methods like machine learning, AI, etc., then you should look into using a public cloud.
Private Cloud Analytics
Private cloud analytics may provide you additional control over IT infrastructure for data compliance or security. Private cloud hardware and software are segregated from other customers’ data, making it appropriate for a single business’s needs. The most expensive option.
Cloud-Based Hybrid Analytics
If you can’t afford a private cloud for data analysis, a hybrid cloud may meet your regulatory demands (HIPAA, GDPR, GLBA, etc.). Keeping specific aspects of an analytics solution (such as sensitive data storage) in the private cloud helps lower cloud-related analytics expenditures while fulfilling internal and external regulatory requirements. Contact data consulting services from DataArt to learn more.
Reasons Why You Shouldn’t Leave The Cloud
1. Scalability
With a cloud deployment, you can quickly and cheaply acquire more storage and computing capabilities from your cloud provider as your needs grow. If you host your analytics solution locally, you’ll need to invest on a costly IT infrastructure update to accommodate growth in storage needs.
2. Security
Organizations often hesitate to use cloud-based analytics due to security concerns. These concerns, however, are unfounded, and I can assure you of that. Today’s top cloud services (including Microsoft Azure, Amazon Web Services, and Google Cloud Platform) use cutting-edge security protocols to keep user data safe. I recommend that you implement data encryption, establish administrative control, and do frequent vulnerability assessment and penetration testing to make your analytics system as secure as possible.
3. Obtainable Information
Top cloud service companies often provide uptimes of 99.99 percent or more. Since cloud infrastructure is designed to be highly available and fault-tolerant, your analytics solution will have little downtime in the event of unscheduled disruptions caused by things like power outages, natural disasters, etc.
4. Ease of Access to Information
Being web-based, your data analysis may send results to any device with an internet connection, so you can use them from anywhere. The ability to examine and discuss analytics findings across a cloud-based analytics platform via self-service software is another way in which cloud deployment promotes teamwork.
