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The distributed data model: seize the opportunity

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The amount of data we generate is exploding exponentially — it’s a recognised feature of living in the 21st century. From the emails we send and tweets we write, to shopping online and watching videos, the figures are staggering! We’re now generating zettabytes of data at work and in our personal lives. To put that into context, within the next year there will be 40 times more bytes of data than stars in the sky.

But what does it all mean? Simply put, there is a massive amount of information that is just waiting to yield intelligence for businesses. And the potential is only going to grow as we lower the barriers to entry for increased IoT.

There is, however, more to data than just recognising the opportunity. How can businesses reap the rewards in a world almost drowning in data?

What does data success look like?

Global brands like John Deere, Netflix and Uber are all getting it right — using the available data to be more productive, create a better customer experience and deliver a more competitive service.

Success lies in the way we gather, process and store data. Should we do it in-house? In the cloud? Or rely on trusted colocation partners?

The answer lies somewhere in the intersection of all three options.

Different data, different models

There are pros and cons to each hosting option. For example, in-house or on-premise hosting can be risky and costly; you need to invest in hardware, maintain it and secure it. Cloud is inexpensive to buy, but there are cost implications when it comes to processing large amounts of data, as well as compliance concerns if that data has to be kept in a certain region. Colocation is a cost-effective option with connectivity and power taken care of by the provider.

Some data certainly can be kept in-house, while other data is best kept in public cloud. It just depends on the type of data, how quickly you need to generate insights, and whether Datathere are corporate governance or compliance issues you need to contend with. For example, a manufacturing company can keep its CRM in public cloud, using a software-as-a-service to get the best mix of cost and performance. But if it wants to use the intelligence from its production lines to influence decision making around stock control, shift allocation and machine maintenance, it makes sense to have that data processed and stored in a datacentre close to where the information is generated.

In the same vein, an online casino has to adhere to regulation around where data and payments are processed. As a result, its gaming servers could be located in one region, while its email servers located in-house or in another region where cost is a factor instead of compliance.

The future is data

Regardless of industry, the future is data. Data rich insights will shape business competitiveness and be the true differentiator for success. This is the subject of our latest eBook, which looks at the data opportunity, takes an in-depth look at the distributed data model, and explores the role of the datacentre.

Download the eBook to find out more.

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