How many data scientists does the world really need?

For many smaller and mid-sized firms, the hype surrounding Big Data doesn't resonate, and probably won't translate into hiring

The tech media buzz surrounding Big Data suggests that organizations should invest huge sums into hiring and retaining highly skilled (and highly paid) data scientists. But you might not want to submit that graduate school application just yet.

In reality, most firms will address their Big Data challenges by leveraging data analytics technology and training employees they already have to turn big data into smart data.

Small Businesses, Big Data

For many smaller and mid-sized firms, the hype surrounding big data doesn't resonate, and probably won't translate into hiring, because the challenges those businesses face aren't truly related to Big Data, says Tim Herbert, director of research at CompTIA.

"A lot of companies don't actually have Big Data problems -- they have smaller challenges," Herbert says. Many of these data challenges crop up between IT and other departments such as marketing, finance, and business operations, as SMBs uncover their true business objectives and figure out how to make raw data into actionable intelligence, he says.

"While they need to find ways to take their business data and translate that into business intelligence, most of these SMBs are looking at data analytics and technologies like Hadoop and realizing they don't need anything as huge, powerful and scalable," Herbert says.

CompTIA's second annual "Big Data Insights and Opportunities"study, released last month, shows that many of these SMBs will instead invest in training and education for their existing employees rather than hire a formally trained data scientist.

"Hiring these costly, highly trained, highly educated data scientists just isn't practical for most businesses, so they'll put their money into what resources they already have," Herbert says.

In most cases, Herbert says, CompTIA's study found that most SMBs will rely on existing business analysts and financial analysts, though these folks will need additional technical training, he says.

In many businesses, this is already happening. According to the study, sales and research departments saw their participation in big data-related initiatives climb from 17 percent and 13 percent, respectively, to 27 percent and 25 percent.

Based on these numbers, it seems Big Data already is moving from its niche in the IT department and into many other business units and departments, Herbert says, but that's just the tip of the proverbial iceberg.

"Most companies may not realize that they have to first invest in making sure their data's in a format that can best be analyzed to derive value," Herbert says. "Finding the technology to do that is the easy part -- it's finding and nurturing the analytical talent and expertise that's hard, and that will take some more time," he says.

Large Enterprises, Larger Data Challenges

Initially, says Roger Gaskell, CTO of Kognitio, the demand for data scientists will be higher at larger enterprises as these organizations try and squeeze every last drop of value out of their data and their sophisticated business intelligence solutions.

Most large enterprises, looking for a competitive edge, will jump at the chance to hire folks who can use the data they've collected to try predicting the future of the markets, sales cycles and trends, and customer behavior rather than just react to what's happened, Gaskell says.

"If you want some predictive analytics, you're going to need to hire a few of these data scientists, but whole armies? That'll be too expensive," Gaskell says. Instead, enterprises will find ways to train business and financial analysts, as well as the 'average business user' to perform data analytics using automated tools.

"The feedback we're getting from customers is that they want just a handful -- maybe three, or five, or seven -- skilled and highly educated data scientists," says Michael Hiskey, Kognitio's vice president of business development and marketing.

Then, enterprises will surround those with business analysts, then surround those folks with a group of interns," Hiskey says. Kognitio itself has seen great success with such a hierarchy that it calls the Kognitio Analytics Center of Excellence (KACE), he says.

Big Data Reality vs. the Hype

For now, it seems, the rush to mint highly trained, highly educated data scientists can be chalked up hype and buzz, especially since the IT industry is still in beginning stages of big data usage and relevance, according to Ankur Gupta, head of global sales and marketing at MetaScale, a Hadoop solutions provider.

"Sure, enterprises are looking for folks with a statistical and predictive modeling background that can dig deep into data, understand trends and how to spot them, but they also have to have the patience to wait until trends and activity become clear," Gupta says.

"Right now, we see a trend toward companies wanting and needing that human touch, the expertise to parse data and use it to make decisions. But we're in the early stage of big data development, and as technology catches up, we believe that companies will offload these functions to machines, software, to technology. You don't need to hire ten data scientists to do the job," Gupta says.

Sharon Florentine covers IT careers and data center topics for CIO.com. Follow Sharon on Twitter @MyShar0na. Email her at sflorentine@cio.com. Follow everything from CIO.com on Twitter @CIOonline, Facebook, Google + and LinkedIn.

Read more about careers in CIO's Careers Drilldown.

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.
Show Comments

Blog Posts

Cannes 2018: The Big Not Easy

This year’s Cannes Lions program is packed full of data, robots, algorithms, voice technology, blockchain, virtual reality, artificial intelligence and machine creativity. But I’m just as interested in more subtle trends and insights.

Richard Brett

CEO, opr

CMOs are talking the CX talk, but not yet walking the walk

Customer experience is eclipsing product as a competitive differentiator. CMOs are recognising this shift and talking the talk. But are they also walking the walk?

Will our manners go the same way as texting when robotic servants take over?

Much of the talk in the industry is focused on the limited amount of time that screens have left in our lives.

Katja Forbes

Founder and chief, sfyte

You're suggesting that Taylor Swift is a non-brand because we don't know who she votes for, and then you suggest developing brand stories...

Brian 't Hart

Why Gartner thinks brands are too uptight about strategy

Read more

Indeed this is the great article but i will love to recommend you to read the case study of Walamrt for get the more and more customers. ...

Eva Buttler

5 steps to customer intelligence success

Read more

here is the good news now you can find the all adobe products at walmart .. read this news here at https://creditcardsfair.com/

Yasir Abbas

Adobe: Tech architecture, talent stopping companies making the experience shift

Read more

Google is more like a utility. Does a road have a brand? No. Do we use it daily? Of course! And the idea of Taylor Swift as an unbrand be...

Davy Adams

Why Gartner thinks brands are too uptight about strategy

Read more

My father had ALS (amyotrophic lateral sclerosis) for 3 years His first symptoms were weakness in his hands and losing his balance which ...

Janice Tollis

Why Gartner thinks brands are too uptight about strategy

Read more

Latest Podcast

More podcasts

Sign in