Employment Platform Analytics

Insight into Labor Markets

It can be a challenge for Public Employment Services and Staffing Agencies to view all of the information needed in one place and at one time. Successful decision-making requires comprehensive, high-quality data covering labor market patterns and skills availability, along with concrete knowledge of how systems are used. EP Analytics is the solution that can provide targeted graphs and insights that allow experts to react to the unexpected and keep refining and improving their labor market strategies.

WCC’s Employment Platform is the market-leading product for PES experts working at the forefront of government labor market strategy and delivery. It’s a back-end solution that integrates into portals and applications for the full complement of end-users and employment stakeholders, including jobseekers, caseworkers, employers, expert analysts, and statisticians.

WCC Solution Overview

Employment Platform Analytics
Employment Platform Analytics

Add any of our front-end portals to the Employment Platform to deliver powerful employment solutions. Solutions that put expert users in control of critical data and insights as they work to reduce unemployment and influence labor markets.

Employment Platform modules

Employment Platform Analytics
Employment Platform Analytics

Employment Platform Analytics: Cohesive reports for optimal interventions

Evaluating the current labor market is easier when a PES can gather various data types to deliver a complete overview. Whether your experts need insights into available skills or in-demand occupations in a particular region, WCC’s Employment Platform Analytics can handle different aggregations of data. It can then output a cohesive, authoritative data set. In addition, a high degree of configuration helps you design graphs that focus on your specific requirements.

You can view these insights in real-time by configuring a dashboard that shows the information you need, allowing you to interact with data dynamically. If, for example, a large-scale redundancy takes place at a significant employer in a specific geographical location, Employment Platform Analytics helps bring it to your attention via a Heatmap.

A Heatmap helps to visualize the geographic distribution of jobseekers with particular skills, education levels, and more by applying filters using these profile characteristics.

Distribution of jobs / jobseekers (by location)

Employment Platform Analytics

Heat map illustrating the availability of jobs, and jobseekers within specific geo-locations.
 

Furthermore, if there is a mismatch between the language skills requirements in jobs available and jobseeker skills, you can display this using a Friction Graph.

 

Using Friction Graphs, the PES can view any discrepancy between offered and demanded values in the labor market for various metrics such as occupation, education levels, languages, and language proficiency levels. An example of friction is when Java developers are in high supply in a particular city, but there is only a high demand in jobs for C# developers.

Labor market friction graphs

Friction between vacancies in market and jobseeker’s desired occupations and current occupation experience.

Employment Platform Analytics

Friction in occupations based on jobseeker’s desired occupation

Employment Platform Analytics

Friction in occupations based on jobseeker’s work experience.

In addition, EP Analytics offers the Fill Rate Graph, which shows to what extent specific fields are populated. This graph can help PES caseworkers to encourage jobseekers to improve their profile by including data that will enhance their employment prospects.

Using Employment Platform Analytics, your dashboard can display fill rates, salary data, language skills availability, and other attributes, focusing on whatever is your priority at any time. By including this information in your dashboard, you can monitor progress at a glance.

Fill rates (%)

Employment Platform Analytics

A fill rates chart can be used to study data quality and to identify what kind of information is missing in typical candidate or vacancy profiles.

Count by known language

Employment Platform Analytics

Pie chart, illustrating the distribution of known languages.
 

EP Analytics REST APIs enable real-time analytics on jobseekers and vacancies managed by the Employment Platform. The use-case for EP Analytics REST APIs extends beyond visualizing labor market trends and can also supply information to BI applications in data lakes or data warehousing applications.

Benefits and advantages of Employment Platform Analytics

Analytics

Employment Platform Analytics...

  • Track the impact of your labor market policies and how interventions have improved opportunities for impacted target groups
  • Provide insights needed to make successful strategic plans
  • Evaluate the effectiveness of the EP product and search & match strategy
  • Identify key trends and patterns in data so PES can action Gaps
  • Improve visibility of areas in need of improvement
  • A rich set of REST API’s facilitates unlocking data for usage in your own (BI-) systems

Employment Platform Analytics...

track the impact of your labor market policies and how interventions have improved opportunities for impacted target groups

Employment Platform Analytics...

provide insights needed to make successful strategic plans

Employment Platform Analytics...

evaluate the effectiveness of the EP product and search & match strategy

Employment Platform Analytics...

identify key trends and patterns in data so PES can action Gaps

Employment Platform Analytics...

improve visibility of areas in need of improvement

Employment Platform Analytics...

a rich set of REST API’s facilitates unlocking data for usage in your own (BI-) systems
Analytics

Connect with hard-to-reach profiles

There are always vacancies that are difficult to fill and jobseeker profiles that can’t be reached by a standard search and match strategy. Our system helps you to manage these anomalies effectively by focusing on jobseekers with low match counts. You could, for example, set a lower threshold for the number of matches over a defined period. Or you could select jobseekers with less than the desired number of vacancy matches. Then, once you’ve identified this group, you can target them with further tools such as the ELISE Smart Search & Match engine to assist their route back into employment.

Continue fine-tuning your platform by defining target groups, match perspectives, and gap perspectives. You can keep your match algorithms current as roles, language, and opportunities develop in response to local, regional and global changes and challenges.

Delivering data quality exactly where you need it

If you need to export data to a third-party module or application, Employment Platform Analytics can make this a smooth transition. Unlike many back-end products, our platform arrives ready to support your existing portals and applications. If you need to refine and improve these systems, we can help. If you decide that you need something that meets your objectives more closely, we can assist in building new solutions.

You can also send data to third-party business intelligence systems or integrate with end-user portals. You will be able to display diagrams, charts and tables that speak to the user in a way they can immediately understand.

Match Analytics to track Labor Market Dynamics

Match Analytics {released in 2022) provides analytical insights to Public Employment Services (PES) about job matches for their target labor market. A typical use case is when a PES finds jobseekers with no jobs matching their profile and wants to prepare them for the job market. Match Analytics helps analyze the total number of jobseekers (or vacancies) with an acute lack of job matches and those with poor match scores. PES consultants and counselors can narrow this down to the most affected target groups and help them to improve their employment prospects.

EP Analytics
EP Analytics

With a combination of job matches for a target group of jobseekers and their average match scores, PES can take action for the target group by applying specific labor market policies. In the example above, we can view histograms of individual and average match scores to jobs. The jobseekers thought they matched poorly to jobs; however, these jobseekers were a great match from the vacancies’ perspective. PES can action these insights by encouraging the above target group of jobseekers to apply for jobs where this target group would not have previously taken any steps.

Success Stories

VDAB

(Flanders)

VDAB

• In this case, business partners of the Belgian PES, VDAB, wanted to see improvements in the job matching quality.
• WCC competence-based matching strategies, refined monthly, were used to significantly improve the quality.
• As a result, customer satisfaction grew markedly. In fact, partners now give priority to jobseekers offered by VDAB.

AMS

(Austria)

AMS

• The Austrian PES, AMS, wanted to modernize its services for caseworkers, employers, and jobseekers while introducing skill-based matching.
• So WCC Employment Platform modules were tested in a ‘Match Lab’ at AMS.
• AMS gained experience of WCC Employment Platform modules, delivering better services and results, with less manual work, and fewer errors.

Bundesagentur

(Germany)

Bundesagentur

• The two main concerns of the BA were data security/privacy, along with the cost of development, testing and production hardware.
• So WCC provided our ELISE Search & Match Platform to encrypt the data, as well as enable virtualization using Docker containers.
• Data privacy subsequently improved, coupled with lower costs for hardware due to a flexible infrastructure.

VDAB

(Flanders)

VDAB

• In this case, business partners of the Belgian PES, VDAB, wanted to see improvements in the job matching quality.
• WCC competence-based matching strategies, refined monthly, were used to significantly improve the quality.
• As a result, customer satisfaction grew markedly. In fact, partners now give priority to jobseekers offered by VDAB.

AMS

(Austria)

AMS

• The Austrian PES, AMS, wanted to modernize its services for caseworkers, employers, and jobseekers while introducing skill-based matching.
• So WCC Employment Platform modules were tested in a ‘Match Lab’ at AMS.
• AMS gained experience of WCC Employment Platform modules, delivering better services and results, with less manual work, and fewer errors.

VDAB

(Flanders)

VDAB

• In this case, business partners of the Belgian PES, VDAB, wanted to see improvements in the job matching quality.
• WCC competence-based matching strategies, refined monthly, were used to significantly improve the quality.
• As a result, customer satisfaction grew markedly. In fact, partners now give priority to jobseekers offered by VDAB.

AMS

(Austria)

AMS

• The Austrian PES, AMS, wanted to modernize its services for caseworkers, employers, and jobseekers while introducing skill-based matching.
• So WCC Employment Platform modules were tested in a ‘Match Lab’ at AMS.
• AMS gained experience of WCC Employment Platform modules, delivering better services and results, with less manual work, and fewer errors.

Bundesagentur

(Germany)

Bundesagentur

• The two main concerns of the BA were data security/privacy, along with the cost of development, testing and production hardware.
• So WCC provided our ELISE Search & Match Platform to encrypt the data, as well as enable virtualization using Docker containers.
• Data privacy subsequently improved, coupled with lower costs for hardware due to a flexible infrastructure.

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      Solutions interest:

      Software solutions for Employment Services

      Passenger Screening

      Civil Registration and Vital Statistics

      Identity Matching

      Data Matching

      Message (optional):

      By submitting you agree to WCC's Terms of Use. Your personal data will be processed in accordance with WCC's Privacy Policy.

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