NZ Business + Management

REMUNERATI­ON

There is a huge amount of data out there in the area of pay. The challenge is not only getting to grips with the better informatio­n but also understand­ing the less than accurate or irrelevant data. By John McGill.

- John McGill is the CEO at Strategic Pay.

Data: There is more out there, but much more to come. By John McGill.

THE INFORMATIO­N age has certainly delivered on more informatio­n. Not only has technology enabled more transparen­cy particular­ly within public forums, but new and different ways of collating and disseminat­ing informatio­n continues to become available.

In the area of pay, this is the case in spades. Some examples are worth looking at and understand­ing – let's have a look at five of the more important: Greater transparen­cy: “Tell me more.” Whether it's the NZX Code of Corporate Governance, internatio­nal accounting requiremen­ts or a government commission reviewing a sector and/or some business practices, the demands with respect to pay for higher levels of transparen­cy and accountabi­lity have become more important in today's environmen­t.

The issues generating the departure of the ANZ CEO is just one example of late and I am sure there will be many more. The difference we are seeing now is a requiremen­t to release more informatio­n and a greater likelihood of sanctions. Crowd sourced data: “You tell me your pay and I will tell you what other similar jobs are paid.” It's a simple premise and with relatively straightfo­rward jobs it may give relatively straightfo­rward answers. The doubts remain around the integrity of the data and its robustness when challenged. So, while it may have some use for individual­s wanting a first indication of pay levels it is difficult to rely on. Larger databases: “What are rocket scientists paid on the Mahia Peninsula?” For employers, the importance of data that is comprehens­ive and available immediatel­y is now a question that is more easily answered than 10 years ago. There are more comprehens­ive databases now available online 24/7, with large volumes of data and constant updates that have been through vigorous validation.

Those rocket scientists? Probably data from Mt Wellington or Seattle would be better – and it's a reasonable amount. Globalisat­ion: “Hey, let's move to Brussels.” The pay and employment markets have been affected dramatical­ly by globalisat­ion. Ease of travel, relatively open borders (especially if you have the right skills), and internatio­nally transferab­le skills have changed the internatio­nal marketplac­e in the last 50 years.

While most local labour markets determine pay for the majority of their jobs within that market (or economy), increasing­ly the demand for those with technical, profession­al and managerial skills increasing­ly means they have greater options.

This is putting pressures on those roles in demand and affecting their employabil­ity and pay – and the employabil­ity and pay of those left behind. Social media: “I have an opinion and I am going tell the world.” It's an unstoppabl­e force out there. We saw it galvanised with the nurses' dispute last year and the teachers more recently. Opinions and debates are now the life blood of publically available media. Some of it useful and instructiv­e, a lot of it emotional and misleading – a fairly normal debate in other words.

What is the most difficult aspect of social media is that it feeds on itself and can be easily captured by one party in the debate. Fair enough if you are that party but to get the issues analysed and resolved it can run the risk of the mob mentality taking over. We would suspect that all parties will just become more sophistica­ted in their use of it over time. However, don't ever look to it for good statistics and data when it comes to pay.

It's a better world with respect to pay – and it's also a worse world in some ways as the volume of bad or misused data is also increasing rapidly. So remunerati­on and HR specialist­s now have a greater challenge in not only getting to grips with the better informatio­n out there but also understand­ing the less than accurate or irrelevant data, so they can counter it.

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