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Research

Welcome to the Windsor Group knowledge base of articles
and publications that demonstrate our understanding of many
of the complex business challenges and key issues faced by companies
around the world
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It’s been said that big data analytics is just a fad and, like most other IT trends that have come and gone, will soon depart the revolving door that is IT innovation. Although an easy assumption to make based on decades of short-lived notions, big data is breaking the mold. According to the Forbes article, “Big Data: 20 Mind-Boggling Facts Everyone Must Read”, more data has been created in the past two years than in the entire previous history of the human race and has showed no signs of slowing down. In fact, it has been projected that by 2020 about 1.7 megabytes of new information will be created every second—for every single human being on the planet. Meaning, our current accumulation of roughly 4.4 zettabytes of data will reach a staggering 44 trillion gigabytes in a mere 4 years.

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You’d be hard pressed to find any enterprise that didn’t consider its bottom line to be the ‘end all be all’, and frankly, why wouldn’t it be? Every single initiative, system, process, and employee of an organization is ultimately brought on to do one thing; drive bottom line results. Even salespeople, whose primary focus is geared towards generating top line revenue, aren’t going to provide as much value unless they’re able to maintain strong margins and contribute to their organization’s bottom line throughout their sales cycles. The point being, without a strong bottom line it is close to impossible for a company to sustain itself; and in today’s digital landscape, maximizing bottom line profit is paramount to success.

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Traditional outsourcing offers clients an option that allows a service provider to control and run a given infrastructure function on your company’s behalf. If you look at traditional data center outsourcing for instance, it typically consists of a data migration that seamlessly transitions your organization’s data center to the chosen service provider’s data center.

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One of the most unexpected developments of computing in the 21st century is the distributed nature of technology. It was a given that computers in personal, micro, and mainframe formats would continue to grow more powerful over time. What no one really counted on was the unexpected bonus to computational power that would arise from using the emerging online capabilities of computers and conceptualizing what we now refer to as “The Cloud,” which is simply another way for companies without the computational power onsite to take advantage of that power courtesy of another service.

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Cloud computing is being incorporated into many corporate data infrastructures in recent years, and it’s easy to see why. By moving data—and even computational power—over to the Internet and allowing this information and functionality to exist online, there’s an enormous amount of cost-effectiveness and convenience that comes with the transition.

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Many IT leaders will probably admit that they’re spending too much on the day-to-day operational functions, like preventing existing systems from breaking down with ongoing maintenance and replacing or expanding capacity - essentially keeping the lights on, so to speak.

And while no CIO wants to spend a big chunk of his or her budget on just simply keeping the lights on, the alternative of letting the lights go off just isn’t an option. If your IT infrastructure and systems are down, no customer will care about how innovative you are.

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