Blog

Article by Manisha Dhalani

on 10 Apr 2014

The new regulations by the Singaporean authorities to be set in place for the recruitment industry are fast approaching and amongst the changes that we will foresee include the Singapore's Personal Data Privacy Act (PDPA) and the Fair Consideration Framework (FCF).

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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.

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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.

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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.

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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.

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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:

Article by Stephen Bylo

on 10 Mar 2014

The location of our customer’s data is really important to us at HRBoss.  Our customers often ask, and indeed demand, that the location of their data is well-defined. This could be for many reasons including compliance, data residency or preference of choice. For example, clients often request that, “The central storage location of our application data must stay within China/Japan”. When data in a particular location is geographically closer to our customers, they'll see lower pings and better performance from that provider- so, of course, it is a reasonable request for them to make.

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Article by HRBoss

on 7 Mar 2014

Transferring data between computer systems or storage platforms is never a trivial task, especially given the characteristics of the data we deal with today - high in volume, variety, velocity and varying levels of veracity. This makes data migration particularly complex and unappealing because data-migration jobs means that cost overruns, excessive downtimes and delays with “go-lives” are all too common.

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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.

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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