1. Six Baby Steps to Implement Big Data for HR
by DAVI D BERNSTEI N on JANUARY 27, 2013
There’s a lot of BIG talk about Big Data. Now for the SMALL talk.
While some companies are leaping into Big Data with a vengeance, others are shying away from Big Data
altogether. The term “BIG DATA” alone scares off the weak-hearted HR executive who already has
enough on their plate. I often hear the already up-to-their-ears-in-work HR director acknowledge the
importance of data. However, the common complaint, and more importantly, the derailment of
effectuating a Big Data plan, stems from the simple fact that those companies don’t have the resources
and/or knowledge to develop and implement a wide-range Big Data plan on their own.
As a former Senior HR leader at Hitachi and previously in HR Technology at Peoplesoft I can certainly
understand the dilemma all too well. Change, no matter how small, can be disruptive, time-consuming,
and misunderstood.
With that in mind, I think it makes the most sense to first explain why going BIG into Big Data might not
be the most prudent course of action. Let’s first take a look at some of the other “BIGS” (other than the
big potential rewards) associated with creating an extensive internal Big Data initiative from scratch.
These include:
• The BIG investment in technology infrastructure;
• The BIG time investment in data collection, data cleansing, and data governance;
• The BIG investment to develop an on-staff team into advanced analytics experts;
• The BIG efforts it takes to source and recruit outside talent;
• The BIG challenge in determining which data should be analyzed and how to collect it;

2. • The BIG shifts required in organizational processes and work culture to adopt a data-centric enterprise;
• The history at many companies of BIG failures and the general unpreparedness for “the data deluge.”
Considering these challenges, many of you could be waiting a long time to leverage your internal data –
much less multi-sourced Big Data. It’s unlikely that any HR organization would be funded strictly due to
the intensity of effort (cost, time, resources). And besides, even it were … (see above).
However, that doesn’t mean that HR has to sit on the sidelines and hold off on making evidence-based,
predictive decisions using Big Data. There is a way you can start small with Big Data. In fact, it makes
sense for many companies to ease its way into Big Data.
Here are six baby step approaches toward that goal:
1. Don’t invest in a huge Big Data infrastructure. There are many ways to minimize your technology
investment. Start with your own data. The benefits and insights of your own data can be a real eye-
opener. Your Applicant Tracking System or HRIS should provide you the basic query tools needed to
report out and better understand the meaning in your data. If your company is already using an advanced
reporting tool like SAP’s Business Objects, then you should pursue using that type of tool as well. It’s
imperative, though, that you understand your own data before taking the next step – comparing outside
data against your own.
2. Reduce your risk. You’ve already invested in your own data resources and understand what you have;
and more importantly, what you don’t have. Knowing what you “don’t have” will enable you to begin to
focus on the data you require to round-out how your company stacks up against your competitors and the
market in general. This data can be provided by a wide range of third party vendors depending on what
you need.
3. Learn from role models and mentors. Even if you understand what data you have, what it means,
and what you need, the sheer amount of possible ways the data can be analyzed can be paralyzing. I come
across many customers who have everything, or almost everything they need to make incredible and
decisive decisions but lack the internal analysts or statisticians required to make sense of all this data. An
outside Big Data vendor can provide analysts in a more cost-effective way to sort out this specific,
actionable information and tailor results to your exact company specifications - utilizing a combination of
your own data with insightful market data the vendor possesses.
4. Leverage Quick Results. As I’ve pointed out above, you don’t have to wait months or even years to
effectuate a Big Data plan. Many Big Data vendors can get you started in just a few days. I’m a strong
believer in out-sourcing what you need to quickly gain a bit of one-upmanship in the market.
5. Stay focused to start. Going BIG into Big Data can be a shock - like diving headlong into the Bering
Straits. Starting small with Big Data is like dipping your toe into the water, allowing you to get
comfortable as you begin to immerse yourself. The benefits of this walk-before-you-run approach are
invaluable. It allows you to see the value of having a proactive and evidence-based decision-making

3. process in one area, and recognize how you can expand it to other areas of your job. It also helps you
gauge how your management and organization responds to the approach.
6. Partnering. Organizations that are looking to put the infrastructure and staff together to mine and
analyze Big Data can gather valuable insights from partnering with a vendor to explore one aspect while
building their own capabilities.
There was a recent article in the Harvard Business Review by Dominic Barton and David Court of the
global management consulting firm McKinsey & Company called, Making Advance Analytics Work for
You. They wrote, “The Era of Big Data is evolving rapidly and our experience suggests most companies
should act now. But rather than undertaking massive overhauls of their companies, executives should
concentrate on targeted efforts to source data, build models, and transform the organizational culture. As
companies learn the core skills of using big data, building superior capabilities may soon become a
decisive competitive asset.”
In other words, you can implement Big Data now. But start small. Then expand. There’s nothing wrong
with baby steps. Isn’t that how we all started?
To learn more about how you can get started with Big Data, check out eQuest’s new article, “Big Data:
HR’s Golden Opportunity Arrives”.
I look forward to your comments!