Modernising the data supply chain with Data as a Service

Getting access to data at a speed has never been more important, however the data supply chain still has to catch up with demand

This is mainly because the passing of data is slow, data is passed hand to hand from IT operations to the teams that need it. The process for requesting and provisioning data is largely ad hoc. As a result of these systems large enterprises can take weeks or even months to get the data they need.

In today’s economy speed is so important, the rise of omnipresent networks and universal connectivity has driven the need for immediacy. Moving large data sets is so difficult and slow that many large organisations end up using subsets or synthesised data during development or testing. Another factor is security, the current climate of data leaks and theft there is concerns for the security of data meaning that data masking is vital but adds another stage in the supply chain thus slowing down delivery

Costs of delay

Inadequacy of the current data supply chain has a direct impact on businesses, costing billions a year lost in productivity and low utilisation of systems and software resources. Today’s organisations need to find a way to change the data supply chain with the ability to copy secure and deliver near real time data as a service is crucial.

What’s next?

Instead of a data supply chain being a constraint it could be transformed into a service and data can be virtualised. Self-service and automation replaces the need to pass data hand to hand, this allows users to copy and share data without fear.