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Case Studies

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Case Studies

Use Case 1

COVID-19 Response​

In the early days of the COVID-19 pandemic, New York State was among the hardest-hit areas in the world. Hospitals were overflowing with patients, and there weren’t enough health care professionals to address the medical needs of the many afflicted people in local communities. New York turned to IdenX to address this crisis.

 

We leveraged our database—which includes the dynamic profiles of more than 10 million healthcare professionals—and our machine learning applications to help combat the widespread shortage of frontline healthcare workers. This process involved:

  • Identifying qualified healthcare workers not currently working in the industry
  • Contacting them via text message
  • Validating their credentials and certifications

 

Assigning healthcare workers as emergency medical personnel to COVID-19 hotspots
Working for the State of New York, we contacted 145,000 healthcare professionals in New York State and 50,000 in New Jersey, of which 5,320 ultimately volunteered for assignment to surging hospitals. And all without charging a dollar.

 

This initiative soon spread to Massachusetts, Louisiana, California, Texas, and Missouri. Our overall response rate was roughly 10% in 24 hours, and the initiative successfully connected tens of thousands of healthcare workers with hospitals in COVID hotspots.
In the fight against COVID-19, IdenX’s rapid response capabilities saved countless lives.

USE CASE 1​

COVID-19 Response​​

In the early days of the COVID-19 pandemic, New York State was among the hardest-hit areas in the world. Hospitals were overflowing with patients, and there weren’t enough health care professionals to address the medical needs of the many afflicted people in local communities. New York turned to IdenX to address this crisis.

 

We leveraged our database—which includes the dynamic profiles of more than 10 million healthcare professionals—and our machine learning applications to help combat the widespread shortage of frontline healthcare workers. This process involved:

  • Identifying qualified healthcare workers not currently working in the industry
  • Contacting them via text message
  • Validating their credentials and certifications

 

Assigning healthcare workers as emergency medical personnel to COVID-19 hotspots
Working for the State of New York, we contacted 145,000 healthcare professionals in New York State and 50,000 in New Jersey, of which 5,320 ultimately volunteered for assignment to surging hospitals. And all without charging a dollar.

 

This initiative soon spread to Massachusetts, Louisiana, California, Texas, and Missouri. Our overall response rate was roughly 10% in 24 hours, and the initiative successfully connected tens of thousands of healthcare workers with hospitals in COVID hotspots.
In the fight against COVID-19, IdenX’s rapid response capabilities saved countless lives.

IdenX can help ensure that your company creates and maintains the diverse and creative work environment your company needs to thrive and innovate.

The inferential nature of our machine learning applications allows us to identify diversity characteristics with a high degree of accuracy. IdenX provides a real sense of the diversity within a particular talent landscape, thereby enabling clients to analyze talent in a diversity-blind or diversity-focused manner. It also allows recruiters to search for and sort profiles in a far-timelier and less biased manner.

While working with an international electronics company, we assembled a shortlist of streaming service engineers located in the U.S. who spoke Hindi or Marathi and were willing to relocate to Mumbai. Two years ago, this search might have taken a year, but our shortlisting process took less than a week.

We have begun applying this product in other contexts, mapping the diversity characteristics of boards of directors for example, as well as whole companies and markets.

Use Case 2

Inferential Mapping—Diversity

USE CASE 2​

Inferential Mapping—Diversity​

IdenX can help ensure that your company creates and maintains the diverse and creative work environment your company needs to thrive and innovate.

 

The inferential nature of our machine learning applications allows us to identify diversity characteristics with a high degree of accuracy. IdenX provides a real sense of the diversity within a particular talent landscape, thereby enabling clients to analyze talent in a diversity-blind or diversity-focused manner. It also allows recruiters to search for and sort profiles in a far-timelier and less biased manner.

 

While working with an international electronics company, we assembled a shortlist of streaming service engineers located in the U.S. who spoke Hindi or Marathi and were willing to relocate to Mumbai. Two years ago, this search might have taken a year, but our shortlisting process took less than a week.

 

We have begun applying this product in other contexts, mapping the diversity characteristics of boards of directors for example, as well as whole companies and markets.

Use Case 3

Mapping Talent Ecosystems

When a global gaming-development company needed to set up developer studios in talent-rich locations, they relied on IdenX to find areas in the world with clusters of appropriately skilled individuals. Using our AI platform, we identified locations with the greatest densities of skilled, developer talent.

 

Our living map allows us to track the movement of talent across markets and geographies. This map enables us to visualize:

 

  • Developers’ career path
  • Geographical variations in compensation data
  • Changing dynamics in the gaming talent market
  • Physical movement of developers on both a local and global scale

 

In short, IdenX not only pinpointed in real-time the optimal locations for setting up developer studies for this gaming company, but also which locations were the most cost-effective.

USE CASE 3​​​

Mapping Talent Ecosystems​​​

When a global gaming-development company needed to set up developer studios in talent-rich locations, they relied on IdenX to find areas in the world with clusters of appropriately skilled individuals. Using our AI platform, we identified locations with the greatest densities of skilled, developer talent.

 

Our living map allows us to track the movement of talent across markets and geographies. This map enables us to visualize:

 

  • Developers’ career path
  • Geographical variations in compensation data
  • Changing dynamics in the gaming talent market
  • Physical movement of developers on both a local and global scale

 

In short, IdenX not only pinpointed in real-time the optimal locations for setting up developer studies for this gaming company, but also which locations were the most cost-effective.

Do you ever need to find new qualified workers in a very short time frame? IdenX can make it happen.

 

Businesses use our AI mapping and recruiting capabilities to highlight the talent they need to scale quickly. Recently, one of our clients in the aerospace industry found itself needing to immediately acquire 45 new technicians in a new location in the American South.

 

To help our client meet these needs, we:

 

  • Built a map that showed clusters of talent in the South and Gulf Coast regions
  • Compared the costs of living across these locations to identify a viable compensation structure
  • Identified qualified technicians and served as the link between the company’s HR team and the wide pool of candidates

 

Ultimately, IdenX successfully helped the client recruit all 45 candidates ahead of schedule, with 300 more new roles likely to open up in two other cities in the medium term.

Use Case 4

Talent Streams

USE CASE 4​​

Talent Streams

Do you ever need to find new qualified workers in a very short time frame? IdenX can make it happen.

 

Businesses use our AI mapping and recruiting capabilities to highlight the talent they need to scale quickly. Recently, one of our clients in the aerospace industry found itself needing to immediately acquire 45 new technicians in a new location in the American South.

 

To help our client meet these needs, we:

 

  • Built a map that showed clusters of talent in the South and Gulf Coast regions
  • Compared the costs of living across these locations to identify a viable compensation structure
  • Identified qualified technicians and served as the link between the company’s HR team and the wide pool of candidates

 

Ultimately, IdenX successfully helped the client recruit all 45 candidates ahead of schedule, with 300 more new roles likely to open up in two other cities in the medium term.

Use Case 5

Inferential Mapping—Security Clearance

Not everything you need to know about a prospective employee can be found on a resume. IdenX can discover the kind of vital information that an applicant may have inadvertently omitted.

 

Our machine learning applications can infer esoteric skills from profiles that, for whatever reason, failed to understand the relevance of that skill. For instance, we can find people with top-secret security clearances even if those people don’t explicitly describe that credential on their resumes.

 

For one client, we studied 150,000 software engineers who, based on their job titles and industry experience in the Washington, D.C. area, were likely to have top-secret security clearance. We then built an inferential portrait of the qualified talent pool for our client—an otherwise unmanageable task.

 

This kind of inferential analysis helps us look beyond listed skills and job titles, and instead infer things like compensation, diversity characteristics, security clearances, and high-performance indicators.

 

IdenX can help you see beyond the verbiage in a mountain of resumes to find that high-performer who can really make a difference for your company.

USE CASE 5​​

Inferential Mapping—Security Clearance​​

Not everything you need to know about a prospective employee can be found on a resume. IdenX can discover the kind of vital information that an applicant may have inadvertently omitted.

 

Our machine learning applications can infer esoteric skills from profiles that, for whatever reason, failed to understand the relevance of that skill. For instance, we can find people with top-secret security clearances even if those people don’t explicitly describe that credential on their resumes.

 

For one client, we studied 150,000 software engineers who, based on their job titles and industry experience in the Washington, D.C. area, were likely to have top-secret security clearance. We then built an inferential portrait of the qualified talent pool for our client—an otherwise unmanageable task.

 

This kind of inferential analysis helps us look beyond listed skills and job titles, and instead infer things like compensation, diversity characteristics, security clearances, and high-performance indicators.

 

IdenX can help you see beyond the verbiage in a mountain of resumes to find that high-performer who can really make a difference for your company.

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