Building infrastructure and an analytics team, or outsourcing to the cloud?

Building infrastructure and an analytics team, or outsourcing to the cloud?

Not everyone can build a data team from one day to the next, and, of course, building infrastructure is a costly business. This is why the cloud can offer a remedy as it “offers elasticity with little to zero upfront investment, and the downside of moving data back and forth is less of an issue when using data from applications that live in the cloud.”

With a cloud solution like SkyFlok you can sort and organize any team, personal or client file via a web interface. You can also create client specific folders to share, manage and always have the latest updates, invite clients to share mutual files and get an overview of your client ecosystem. With SkyFlok you have full control over your data while keeping your and your clients files encrypted and private at all times.

While many organizations are still struggling with getting their data governance right, as the onset of GDPR has gone to show, this is the substrate on which to build analytics and reap its benefits.

It’s a strategic decision, leading to strategic advantages and really transforming organizations. But what about the ones that can’t or won’t afford this, literally and metaphorically?

On the infrastructure front, the plus and cons of the cloud are well understood by now. The cloud offers elasticity with little to zero upfront investment, and the downside of moving data back and forth is less of an issue when using data from applications that live in the cloud anyway. On the other hand, vendor lock-in is something to keep in mind always.

But beyond storage infrastructure, or analytics tools that live in the cloud, the cloud has more to offer.

The cloud can make up for the lack of expertise in the analytics market, for example by offering ready to use libraries and data pipelines. The promise there is that is should be plug and play; the catch is that this means outsourcing core expertise and getting commoditized value offering that is not a differentiator and may well be behind the curve compared to the leaders.

Even beyond this, however, we have started seeing the rise of a new class of integrated analytics platforms in the cloud, going by the name of Insights Platforms as a Service (IPaaS). These platforms promise to do all the heavy lifting, integration, and insight generation across clouds for their users, and they deliver turn-key analytics solutions.

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