Cloud and Analytics Platforms
With cloud-based data analytics, it is easy for decision-makers to decentralize analytic capabilities and let more staff have access to informed decision-making workflows. By simply providing a user account to a cloud data analytic platform, the organization can empower employees to run their analytical workloads on the cloud and deduce insights they need to work better or drive results faster.
In the traditional sense, on-premises solutions like a spreadsheet program or low-level data processing software never offered employees at all levels the computing power or intelligence needed to execute complex data workloads. They had to wait their turn for the IT team to run the analytics on limited internal technologies and resources. In most cases, the delays will render the data captured unusable for accurate results.
High-performance Guarantee
Traditional data analytics platforms ran on on-premises servers and computing infrastructure. As the business grows, it must invest continuously in upgrading the computational capabilities of its data ecosystem. Analytic hardware like powerful processors, servers, etc. are extremely complex machines that need periodic upgrades and configuration changes to run at optimal performance. This can involve a lot of manual effort.
With cloud-based data platforms, business teams only need to focus on connecting the right data inputs to the platform. The platform vendor will ensure that performance is upgraded automatically in alignment with workload and that new processing models and workflows are accommodated with ease into the analytic solution in sync with market trends. Cloud-based data analytics platforms enable simultaneous or parallel execution of analytic workloads by different users or departments in the business with a high-performance guarantee.
On-demand Scalability
Resources like processors, computing devices, storage, or any other hardware or software, cloud-based data platforms offer unlimited scale. The dynamics of expanding the analytics ecosystem will be managed by the vendor and businesses only have to focus on their workloads. A faster scale will ensure quicker decision-making with better intelligence.
Cost-effectiveness
With a cloud-based data analytics platform, enterprises only need to pay for the analytical resources they consume on demand. There will not be any capital expenditure involved in setting up the data infrastructure or onboarding tools and other tech needed to execute analytic workloads. The vendor will ensure that you have access to all capabilities based on the subscription plan that was entered as an agreement.
Eventually when the business scales, there will be options to scale up the analytical infrastructure in tandem with the business growth on a very flexible costing scheme. This will help businesses dedicate more budgets for their core focus areas rather than on upfront IT spending.