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

Job matching; matching platform; smart search & match platform
Job matching; matching platform; smart search & match platform

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. 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. 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 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.

Using Employment Platform Analytics, your dashboard can display fill rates, salary data, 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.

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.

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 and Job seekers language skills (by level)

Employment Platform Analytics

A Friction graph showing aggregated discrepancies for related demanded and offered language (by level) information.

Count by known language

Employment Platform Analytics

Pie chart, illustrating the distribution of known languages.

Distribution of jobs / jobseekers (by location)

Employment Platform Analytics

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

Fill rates (%)

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.

Employment Platform Analytics

Count by known language and Job seekers language skills

A Friction graph showing aggregated discrepancies for related demanded and offered language (by level) information.

Employment Platform Analytics

Count by known language

Pie chart, illustrating the distribution of known languages.

Employment Platform Analytics

Distribution of jobs and jobseekers

Heat map illustrating the availability of jobs, and jobseekers.

Employment Platform Analytics
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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.

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 to unlock 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 to unlock 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.

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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    Identity and Security

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    Data Matching

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      Data Matching

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