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Data Intelligence and Predictive Analytics in Global Mobility

What does Data Intelligence mean? It’s the wisdom, and the insights, that come after analysis. It’s why you organize and analyze your data in the first place! Global Mobility deals with a lot of data: employee data, HR data, vendor data, costs, immigration, program performance and more. While automation is the driver of business efficiency in the 21st century, it is only beginning to enter the Global Mobility space.

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Benivo Changemaker - Pradeep SetlurBenivo Changemaker Pradeep Setlur, Vice President - HR , Global Mobility and Immigration, Americas at CapGemini joined the show to make the case for the need for change. He said:

“....we’re moving away from traditional mobility program services and into a focus on what the business value is that mobility generates for a company…”. 

He continued to say that... 

“as a function, Global Mobility is a business area that produces significant amounts of data, but as an industry we have not leveraged it anywhere close to its potential.” 

Beth-removebg-previewBeth Neilson, Client Development EMEA at Benivo, emphasized that it’s critical for industry to enable Global Mobility leaders to speak the same language as leadership, which means enabling consolidation of all the GM program data to be able to present directly on ROI, efficiency, and tell the right story about performance.

The starting point is consolidated program data and Changemaker Dr. Joy E. Hill, Esq., DBA, Global Mobility Manager at Brown-Forman agreed.

What is the normal process for SLAs and how is it performing for client Global Mobility teams?

Nitzan Yudan, CEO at Benivo, and Beth also dug in on SLAs. The norm in our industry is that vendors self-report on a monthly or quarterly basis. And surprise — typically they meet SLAs. But as Nitzan points out, the world outside of Mobility relies on live automation and transparent data. One example is system uptime. Uptime is automatically tracked and if/when broken, the penalties are automatically applied. 

We ran a recent LinkedIn Poll in which we asked how often SLAs are tracked in Global Mobility. The results were not surprising.

Beth Neilson at Benivo pointed out the critical truth that the true value of real-time SLA tracking is that it is the only way to fix broken processes while they are happening, and be able to take action on something going wrong rather than apologize after the fact. 

Areas of Innovation

Other areas of innovation that the panelists covered included: 

  • Predictive analytics — apply a statistical model in order to forecast the future with a high level of certainty. A practical example for immigration is to track milestone performance across an application and predict who will make their start date, and who is at risk. Predictive analytics enables GM leaders to be proactive rather than reactive. 
  • Sentiment Analysis — monitoring communications to determine if the conversation is becoming an escalation. 
  • Real time return on investment tracking for workforce planning. 
  • Dynamic policy benchmarking.

Access the show recording to hear the full discussion on data and predictive analytics.

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Matthew Chic

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Matthew Chic

Created on 25-5-2022