The global pandemic has only amplified the need for rapid adoption of the cloud in an enterprise-wide context, as demand for touchless experiences and rising costs of working digitally on the manual mode place newfound operational constraints on the bottom lines. Moreover, rising customer expectations around hyper-customization and 24x7 service paradigms have further necessitated not just adopting cloud but also the very strategy that drives today’s (digital) business in the High Tech industry.
Yet, deriving value through cloud adoption and breaking over efficiency and cost-gains when transitioning from an optimized on-prem configuration of the digital enterprise is not a trend - but instead, an exception. So what sets the leaders apart, and how can CIOs bring value to the enterprise with cloud?
Efficient Data Management With Cloud
As data takes center stage in the post-2020 digital strategy, the cloud is turning into a given - data-intensive applications that support smarter workflows and come to be called innovative products must use scalable, fail-proof infrastructures that are agile and responsive. After all, a data-driven business must act upon insights derived from massive data lakes to deliver value to the last mile. In this regard, the cloud is becoming the key to an effective data management strategy due to the following factors:
Cloud security management
Beyond the traditional enterprise firewall, the cloud supports the role and tier-based access to various levels of data-driven insights founded on the same, granular data points.
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Moreover, the cloud also supports new-age security paradigms like privacy-preserving techniques, anonymization, and serialization to drive secure applications that bake privacy into the architecture from the get-go.
Cloud is scalable and drives better decisions
In addition to being secure, effortless, and near-instantaneous, scalability along both directions is one of the key value propositions of the cloud. As a result, enterprises can handle peak workloads by temporarily scaling their compute capacities and network bandwidths, and downscale significantly around open hours. This approach also substantially impacts the costs and supports a zero-wastage system at the infrastructure level.