CIO OPINION
Despite its importance, the approach organisations take to data varies dramatically.
Carl D’ Halluin, CTO, Datadobi
Balancing scalability and security in data management
Carl D’ Halluin, CTO, Datadobi, tells us how businesses can balance scalability and security when managing large volumes of data in an increasingly complex regulatory landscape.
Every business depends on data, and while it has become clichéd to claim it is‘ the new oil’, it increasingly serves as the fundamental foundation for decision-making and innovation. coming under significant pressure to raise their game. All of this is taking place against the backdrop of a highly complex regulatory environment, where the scope for non-compliance is greater than ever.
Despite its importance, the approach organisations take to data varies dramatically. Many collect vast amounts of data without a clear vision of how it will be used and, instead, spend significant sums storing various datasets in anticipation of progress later on. Elsewhere, organisational leaders fully understand the latent potential in their data but lack the skills, processes or technologies to translate objectives into deliverables.
Get data strategy right, however, and businesses stand to gain enormous operational, financial and competitive advantages. But failing to capitalise can see organisations fall behind their rivals, with management
So, in the context of data management, what does‘ good’ look like? There are a range of important priorities to balance if organisations are to build scalable, high-performance data environments that also deliver the high levels of security and compliance required. Let’ s look at some of the key components in more detail:
1. Establish a scalable data management framework
The first priority should be to implement a scalable data management framework. Why? Well, up to 90 % of business data is now unstructured and can be anything
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