Cloud computing has gained popularity through improved technology, but it is essential to rely primarily on technological innovation rather than on business needs. However, Cloud computing and business intelligence combine perfectly. This post lets us go through the Impact and challenges related to cloud computing and business intelligence.
Cloud computing acts as the repository of structured and unstructured data, creating an ideal platform for delivering business intelligence applications with data collected from a wide range of devices at all times and everywhere. The flexibility and scalability of the Cloud perfectly complement BI operations. Many organizations are incapable of equipping or controlling the complexity needed to handle a BI infrastructure. Still, with cloud computing, they can leave the infrastructure and business intelligence applications to their service provider to operate and manage. It can be a more cost-effective option and a better way to spread information than to on-site infrastructure. Organizations that seek the best CRM for their business would choose Salesforce. This is because Salesforce provides everything you need to speed up and make it easier for a business to close sales. So professionals who take Salesforce Training can grab good job opportunities.
Impacts of Cloud Computing on Business Intelligence:
Offers limitless storage: Users can store a much greater amount of data on the Cloud compared to the local physical storage devices. Companies may also increase their storage capacity by their needs. As the company expands and there is a need for more storage space, the company can ask for more storage capacity and utilize the services.
Cost Efficiency: companies do not need a large budget and an initial purchase of software in the Cloud. Companies consider BI infrastructure to be a service. They only pay for the necessary computing resources, and the acquisition of costly goods is avoided, making it possible to maintain a lower entry threshold barrier. Pricing for Some BI tools is affordable and may vary according to the company size, types of users, customization, and deployment. We even have some free BI tools in the market like Power BI. Power BI Desktop is a free tool that can be installed on Windows computers. It can connect to over 70 data sources onsite and in the cloud to turn information into interactive images. For example, Power Bi offers a wide range of dashboard examples, showcasing how businesses can visualize and analyze their data effectively. Small Organizations use Business Intelligence tools like Power BI providing many Job opportunities. Power BI Training allows professionals to master the Power BI tool and seize good employment opportunities.
Improved data sharing: Cloud applications tend to provide remote data access and facilitate data sharing across locations. Generally, they are deployed by the Internet, and it remains out of the company's firewall.
Flexibility and scalability: Cloud BI solutions allow for more flexibility which can be quickly modified, allowing technical users to access more recent data sources by experimenting with the analytics model. Moreover, Cloud assets can automatically and quickly scale up to support a large number of concurrent users. This allows customers to increase the use of software easily without any delay in the deployment of additional hardware and software installation.
Disaster Recovery: A company using cloud services does not need to prepare complex disaster recovery plans as the cloud service providers address these problems and help customers recover more quickly.
Reliability: Reliability can be enhanced by using several redundant sites, ensuring reliability, and securing data storage locations. These resources can be shared amongst multiple users, making Cloud computing a suitable option for business continuity and disaster recovery.
No capital Expenditure: One of the key advantages of the Cloud model is its low total cost of ownership. Businesses only pay for a genuinely used service Using cloud computing. As part of this policy, cloud computing enables organizations to control OPEX and CAPEX related to non-core operations.
Challenges associated with hosting Business Intelligence on the Cloud
Although the benefits are clear, There are some challenges associated with hosting Business Intelligence in the Cloud.
Security of Data: Security continued to be a major concern for companies considering the adoption of cloud computing, particularly the adoption of public cloud computing. Public cloud service providers share the underlying physical infrastructure among many clients because the public cloud service is a multi-tenant environment. This environment requires abundant isolation among logically calculated resources.
Compliance: Business Intelligence applications comply with the architectural standards of web services, and the providers of PaaS or SaaS set those standards.
Cloud migration: While releasing a new application to the Cloud is a very simple process, and it is more difficult to transfer an existing application into a cloud environment.
Vendor Lock-In: Some major cloud service providers, such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, and IBM Cloud, govern the public cloud marketplace. For the IT experts of the company and the analyst, this allows securing vendor lock-in's specters. According to Gartner's Cloud Adoption Statistics 2021, the increasing strength of hyperscale IaaS providers creates both opportunities and challenges for certain marketers and end-users. While a few of them provide cost benefits and efficiency, companies had to be more alert about IaaS providers likely to acquire an unintended impact on customers and the market.
Unformed Technology: Several cloud services are on the cutting edge of technologies like big data analytics, augmented reality, virtual reality, artificial intelligence, and machine learning. The possible delay in using this attractive new technology is that services do not always meet organizational expectations in terms of usability, dependability, and functionality. But, the only possible solutions to this problem are to change expectations, wait until providers increase their services, or try to create your solution.
Deployment of large parallel data storage systems with uniformly distributed request load and even response time models of all database servers. IaaS providers must make effective use of managing and expanding virtualized server arrays to meet on-demand resources.
The network architecture must be designed so that the request load is distributed uniformly across the servers in the array. This guarantees the processing times of requests by servers within an array. If the server array has used a storage network to store OLAP cubes and XML data files, the data retrieval from different storage devices must again be distributed uniformly through a suitable network connection.
Conclusion:
In this post, we have gone through various benefits of Business intelligence on cloud computing and some of the challenges associated with hosting Business Intelligence on the Cloud. The companies that want to improve their business operations with the cloud can go for BI tools like QlikView. QlikView is an excellent tool that could transform how companies work. So such companies look for certified professionals. Professionals who opt for QlikView training will have great scope in the future.
Although there are some challenges, Cloud-based business intelligence is gaining popularity. After gaining acceptance, the Cloud is earning maturity. Companies are interested in business intelligence based on the Cloud to provide them with helpful information on business data at all times, in all places, and at a level of quality never seen before. In this way, business intelligence with cloud computing is the perfect combination.
Author Bio:
Bagudam Joshiram, Technical graduate in Computer Science, Digital Marketing professional at HKR Trainings.
I aspire to learn new things to grow professionally. My articles focus on the latest programming courses and E-Commerce trends. You can follow me on LinkedIn.