As Business Intelligence is now a reckoned force accelerating business success, gaining control over data explosions, adopting the right BI strategy, putting the right infrastructure in place and using robust BI tools are focal points that have grown in significance.
There’s also the on-premise BI vs Cloud BI brainstorming to leverage cost-effective, performance fuelling and secured BI environment. With cloud BI promising gains, moving from on-premise BI to Cloud BI has evolved into a prominent organizational option.
Sample these scenarios.
With the on-premise BI environment, an organization generated Business intelligence reports, but lacked agility in generating reports. In another case, data volumes grew at a high speed as sale of products was growing steadily, which only decelerated data loading and query execution times. And there were challenges to meet the daily report generation requisite.
These are some business scenarios highlighting the essence of Cloud BI environment. And here are 6 reasons for moving from on-premise BI to cloud BI.
Gain more technical power
As sales increases by the day, data explodes at an organization and the Symmetric Multi-Processing (SMP) solution in-house doesn’t stand up to the data explosion. More SMP solutions would also fall short of scaling the data growth and meeting BI requirements.
The idea of moving from on premise BI to Cloud BI here is to leverage an MPP (Massively Parallel Processing) solution, as in the case of a Microsoft Azure Data Warehouse. This becomes advantageous in terms of handling the data explosion, using parallel processing to enable faster data loading and establishing enhanced query performance and real-time reporting.
Leverage technical scalability
As a company increases its customer count and loyalty, with an increase in sales and revenue, what’s challenging is the handling of data and tapping of intelligence from data. There is a need for increased storage, accelerated data loading and extension of new features to gain business intelligence that an organization seeks.
Moving from on premises BI to Cloud BI is about scaling up the infrastructure when there is a spike in terms of the need for BI components and scaling down when it matters. Cloud BI offers leasing advantages in terms of technical scalability and elastic data storage to meet growing BI challenges that come by way of increased data volumes, suppressed querying and quick reporting.
Establish faster and easy data & insight access
An organization’s partners or customers are not going to hit the ‘firewall’ anymore. The move from on premise BI to cloud BI is about enabling easy sharing of data and insights with business stakeholders. BI reports and dashboards can easily be accessed by users and partners from any location with the aid of appropriate login credentials. This outside the firewall access empowers users to access reports and dashboard on the go leveraging a secure authentication control.
Gain from cost-effective data silo removal
Data silos only lay an expensive road to insights. As we put emphasis on data integration, there can be many challenges in terms of increasing pace of data, different data types that crop up for storing and processing and the growing need for quick analysis and BI results.
Though on-premise data warehouse or a data platform offers the choice, evolving data challenges only make it essential to procure additional software or use more services to accomplish the goal. Moving from on premise BI to Cloud BI, in this data silo scenario, cloud-native data platform emerges as a fitting option when it comes to providing access to a data warehouse or a data lake, enabling analytics on relational as well as non-relational data and reducing operational costs.
Achieve faster execution of data programmes
Moving from on premise BI to cloud BI is also about doing away with the time consuming and effort intensive process of setting up the BI environment. There is no wait time for procuring hardware or even setting up the infrastructure with regards to cloud BI. As the focus moves away from setting up software, procuring hardware and finalizing licensing options, data programmes envisioned by organizations can be executed quickly.
Benefit from Secured Data security
Moving from on premise BI to cloud BI also works to the advantage of an organization in terms of strengthening the BI security. Cloud BI platforms stress the significance of tighter security measures made available through features like encryption across Rest, Flight and Use and other features like multi-factor authentication and single sign-on authentication (SSO).
Moving from on-premise BI to Cloud BI not only helps gain robust BI solutions but also empowers organizations with robust data warehousing as well as analytics environments.