What To Consider When Hiring Data Science Talent

What To Consider When Hiring Data Science Talent

The truth is that hiring for data science is in many ways more of an art than a science. That does sound oxymoronic, but that does not make it any less true. The reason is obvious. Data science is so new that it can be hard to know what you’re actually looking for. What is the set of skills and abilities that will make a data science team fly and which one will make them flounder?

If you don’t know, then you’re certainly not alone. Fortunately, we do some years of company experience to draw on. What’s more, IT has been with us for nearly two decades and there are plenty of valuable lessons there too that we can implement in data science hires.

So let’s see what we’ve learned so far.

It’s not only about the numbers

A lot of companies think that if they just get a couple of people who are incredibly good with numbers, then it will all sort itself out. That couldn’t be further from the truth because the numbers alone won’t get you anywhere.

In the data community, there’s a famous saying: Garbage In Garbage Out. When they say it, they’re mainly talking about the quality of the raw ...


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6 Incredibly Costly Big Data Marketing Mistakes

6 Incredibly Costly Big Data Marketing Mistakes

Everybody keeps talking about how great big data is – particularly for marketing. And, of course, it is great. It offers some fantastic opportunities, as has been shown over and over again. This is particularly true as the Internet of Things comes online, which offers an ocean of new possibilities. The thing is, if you don’t handle your big data carefully, then it can do a lot of damage as well.

Here we’re going to explore some of the biggest big data marketing mistakes that can cost you a lot of money. In that way, you’ll know what to look out for and you’ll be in a much better position to avoid them. Sound good? Let’s get started.

Low advertising conversions

The entire point of big data marketing is to convert lots of people. Of course, sometimes that doesn’t happen. Sometimes there are low conversion rates. That in and of itself isn’t a mistake. That’s just grounds for looking to improve your big data marketing strategy.

The mistake sits in the fact that some marketing teams don’t do anything about it. They continue on in the way they’re going, creating more ads and hoping that somehow the problem will fix itself. Which, of course, ...


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How the Internet of Things Changes Big Data Analytics

How the Internet of Things Changes Big Data Analytics

The internet of things is going to have a dramatic and far-reaching impact on the world that we can’t even imagine. By the year 2020, there will be somewhere in the vicinity of 28 billion sensors online. That’s more than four per person. And from there it will only multiply.

That means that there will just be tremendous amounts of data pouring in. More data then we can, at this point, process. In fact, we might never be able to process it as even as ramp up our ability to process data, the number of sensors is going to keep growing. You can almost see it as an arms race between the data and the ability to process it.

Even if we can’t process that data, it won’t just disappear. Instead, it will get dumped into huge servers, as the storage space for information continues to plummet and it becomes easier to just put things on disk than to do anything with them.

So what does all this mean for big data?

For one thing, it means that if you want to make sure that you can use this incredible river of data, you’ll need to start early. You’ll need to start picking and ...


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