Data virtualization: Coping With The Forthcoming Data Avalanche

With better ways of translating data, organisations become faster, more agile and more competitive.

Data virtualization is an increasingly necessary tool in organisations and businesses that face an exponentially increasing amount of data to process and make sense of.

After all, we live, breathe in a world dominated by data. The Data Age 2025 study, carried out by IDC, predicts that by the year 2025 the generation of information will amount to a total of 163 zettabytes, which means that its volume will increase 10 times worldwide.

So it’s not hard to see why data virtualisation is growing in popularity, because the fact is that physically moving and storing the same data in different repositories multiplies costs and slows down processes when it is necessary to make IT changes.

Whereas data virtualisation allows access to all data from a single point. So you get immediate access to data only when it is strictly necessary. Hence it is increasingly helping to drive digital transformation within companies both large and small.

Business leaders need to make sense of all of the incoming information on customers, suppliers, competitors, investors and many other stakeholders – and make quick decisions, in real time, that affect their business.

To do this, they have traditionally had to turn to the IT department, which, in turn, was collecting and collating all of this information from multiple different sources. They would then move the data from different systems, integrate them and provide a unique view. All of which were actions that, rarely, were carried out in real time.

However, the latest data virtualisation platforms enable the business leader to make the best decisions, immediately, in real time, without having to trouble his or her IT department.

In this way, it’s becoming an invaluable tool that allows you to get the most out of the information and data flowing into your business, complementing existing middleware.