Due to the significant increase in data volume and variety, Cloud Computing has established itself globally as the framework for data management and application deployment for many years.
What is Cloud Computing?
Through Cloud Computing, you have access to a global infrastructure distributed across different geographical regions, designed to be fully managed, scalable, and secure. Through the internet, you have access to the latest storage, computing, machine learning, and many other services, reducing management and administration tasks.
With the increased focus on data, Business Intelligence platforms have become increasingly important. These platforms can analyze large volumes of data, extract meaningful information, and optimize processes. Business Intelligence provides a foundation for a data-driven approach to business, where relevant information extracted from data enables strategic decision-making and cost reduction.
Let’s see what advantages Cloud Computing offers in the field of Business Intelligence and Advanced Analytics.
The Advantages of Cloud Computing
Flexible and Scalable Applications
One of the main advantages of the Cloud is the ability to quickly scale infrastructure, allowing companies to adapt their computing resources based on demand, in real-time and automatically. This is also linked to the concepts of flexibility and elasticity, as Cloud-based BI platforms are very quick to develop, test, and deploy.
Security and Compliance
Cloud security follows a shared responsibility model: the user is responsible for the security of their resources (for example, by protecting access credentials), while the Cloud provider is responsible for the security of the infrastructure itself. The Cloud offers many solutions to protect data and improve the security of your applications, such as encryption services, access control, and compliance with standards, in addition to automatic backup and data recovery services. Ultimately, the Cloud approach greatly enhances security for Business Intelligence applications.
Advanced Analytics and AI
Many Cloud platforms offer innovative services in Artificial Intelligence and Machine Learning, often natively integrated with BI platforms. Thanks to these new technologies, Business Intelligence solutions become even more effective in data analysis, particularly for typical use cases such as forecasting, predictive analytics, and anomaly detection.
Reduced Complexity
“On-premise” IT infrastructures, which were typically used before the Cloud, have several disadvantages in terms of capacity, backup, and optimization, particularly with regard to under-sizing resources. By migrating BI infrastructure to the Cloud, companies reduce the complexity of creating and maintaining their IT infrastructure, which will instead be managed by the Cloud Provider.
Cost Optimization
In the Cloud, resource management follows the “on-demand” paradigm, whereby the computing power and storage space used are adapted according to needs. Consequently, the costs of services follow a “pay-per-use” paradigm, whereby only the costs of the services used are charged for the actual time they are used. In this way, the need for initial fixed costs that would have been necessary in an on-premise platform is eliminated, shifting the focus to more manageable operational maintenance costs.
Why move to Cloud Computing?
Ultimately, Cloud computing has changed the approach to Business Intelligence by improving scalability, flexibility, and security, and also leading to cost savings. By migrating their BI infrastructure to the cloud, companies can maintain a competitive advantage thanks to a system of insights and data-driven decision-making. Furthermore, the cloud represents a natively scalable solution that can be adapted to the continuous increase in data volume and complexity.
Blue BI has many years of experience in the Cloud with Microsoft Azure and Amazon Web Service. Contact the experts to learn more and start taking advantage of Cloud solutions.
We realize Business Intelligence & Advanced Analytics solutions to transform simple data into information of freat strategic value.
