HRBoss Blog: HR Big Data

Annabella Poon's picture

Article by Annabella Poon

on 22 May 2014

Big Data is not only limited to the Finance and FMCG (Fast Moving Consumer Goods) industries, it has also permeated every other function in the organisation - sales, marketing, and HR. However, as Big Data continues to make waves across the other side of the world, it seems that the Big Data deluge has only just reached the shores of Asia.

Annabella Poon's picture

Article by Annabella Poon

on 15 May 2014

With the growing enthusiasm amongst HR leaders to build a data-driven HR department, HR will need to change their reporting processes by leveraging on the right data analytical tools in order for HR to keep up in 2014 and the future.

HRBoss's picture

Article by HRBoss

on 8 May 2014

Finding the right Talent can be challenging, especially if you’re looking to fill a key management role. Investing in a new employee takes time and effort, and after devoting resources to groom the new hire, the last thing you want is for your Talent to walk out, straight into your competitor’s office. In a highly competitive region such as Asia, retaining Talent is a growing concern for organizations and you’ll need to do what it takes to keep top Talent working for you.

Annabella Poon's picture

Article by Annabella Poon

on 7 Apr 2014

Undeniably, ‘Big Data’ has taken the business world by storm. With the emergence of Cloud Infrastructure and Technologies, end-users of these systems are now able to obtain, generate and visualise data in ways that historically, we weren’t able to achieve.

Annabella Poon's picture

Article by Annabella Poon

on 3 Apr 2014

Just 2 weeks after the release of The Asia HR Big Data Survey Whitepaper Report, HRBoss spoke to leading government and HR industry experts to get their take on the Survey results. Read on to find out what they had to say about the state of HR Big Data in Asia.

Annabella Poon's picture

Article by Annabella Poon

on 28 Mar 2014

The recently published Asia HR Big Data Survey 2014 reveals that human resource professionals across the region are spending a disproportionate amount of time locked into demanding, yet inefficient, reporting cycles. The study also shows that the ‘Excel Hell’ syndrome currently plaguing HR is only set to deteriorate.

Annabella Poon's picture

Article by Annabella Poon

on 26 Mar 2014

If you are reading this blog then you are probably already familiar with the concept of Big Data. Are you also aware of Gartner’s classic definition of Big Data? According to this still widely adhered to definition, Big Data can be characterized by the following ‘3 Vs’:

Volume, Velocity and Variety

In a nutshell, these ‘3 Vs’ refer to the overwhelming amounts and types of data we now have at our disposal and the increasing speed at which this data can be processed.

Annabella Poon's picture

Article by Annabella Poon

on 19 Mar 2014

As the spotlight continues to shine on HR Big Data and with no sign that interest is waning, the state of Big Data for human resources in the APAC region is, in reality, still very much in its infancy. This is according to a new study sponsored by HRBoss, which exposes the many challenges the Asia-based HR department faces in adopting a data-driven approach in 2014.

Here is an infographic which summarises the results of the survey:

HRBoss's picture

Article by HRBoss

on 3 Mar 2014

Move from ‘gut-feeling’ to evidence-based decision making

Attracting and developing talent is one of the key roles HR has in any organization. Before the rise of Big Data, the challenge of accurately identifying future superstars had been too sophisticated for HR  to undertake without an element of guess-work.

HRBoss's picture

Article by HRBoss

on 26 Feb 2014

Big Data is revolutionizing business without many people knowing what it actually means. So…what exactly is Big Data?

Gartner introduced the 3V model in a seminal 2001 MetaGroup research publication, ‘3D data management: Controlling data volume, variety and velocity’. The 3V model is still widely regarded as the definitive explanation of Big Data.

1. Volume