USING DATA ANALYTICS TO SHOW STRATEGIC BENEFIT OF GLOBAL MOBILITY

NetExpat Team • December 11, 2018

There are a large number of articles in business journals highlighting the usage of Big Data to inform business decisions. Using data analytics is sound practice as decisions made on evidence more than intuition are much more likely to be effective. Therefore for Global Mobility data to be relevant it must begin with and show impact on a business result that matters.

A practical example of this approach is the launch of the Relocating Partner Survey by NetExpat and EY based on the premise that as organisations look to build Inclusion and Diversity into their Talent agenda one of their challenges will be how to ensure talented women will be prepared to travel overseas with a partner who wishes to remain in full time employment. Preliminary feedback indicates that the largest obstacle to women accepting overseas roles is the full time career of their partner. It also identifies that the income of the partner is a significant contribution to the family budget. These Insights now provide the opportunity for Global Mobility professionals to highlight to senior management that if they wish to build deeper Inclusion and Diversity of their female employees they need to address the issue of relocating partner support.

It should also be noted that Science does not advance with isolated studies but with a series of studies, each building on each other to create more rigorous and robust insights. In Global Mobility studies too seldom build on previous work. Global mobility analytics are too often isolated events rather than cumulative building blocks. To combat this problem the Relocating Partner survey is now scheduled to run every 2 years to provide updates on progress and to identify emerging trends in this important area.

For Global Mobility analytics to evolve from being a quick-fix to having sustainable impact, Global mobility professionals needs to focus on the right issues in the right ways and focus on driving business impact.


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