Public Sector

Lightcast partners with leading government technology providers and public sector consultants to deliver labor market insights into their platforms and produce cutting-edge research.

Economic Development

Agencies and departments can use Lightcast data to develop targeted strategies that help communities and organizations meet critical sector talent needs. This includes the ability to:

Identify talent gaps, underlying causes, and potential solutions
Understand where current and potential talent pools overlap
Develop actionable strategies to strengthen workforce resiliency
Generate insights that support job growth and informed capital investment

Industry employment, wages, and unemployment

In this example, we use CoreLMI, Lightcast’s government data API, to retrieve the most recent labor-market data. The workflow includes creating an industry mapping from unemployment data, identifying top industries by employment, and analyzing salary and wage trends by industry over time.

APIs Used

Authentication
CoreLMI - Government data API.

Python Example

Job Posting Demand vs Profiles Supply

In this example, a sector is defined using a NAICS code. We then identify top skills and certifications associated with that sector and retrieve the number of profiles that meet specified skills and certification requirements.

APIs Used

Python Example

College Graduate Trends

In this example, we define a sector and use government labor data to analyze metrics related to current graduates. We then incorporate job postings data to rank the top Classification of Instructional Programs (CIPs) associated with that sector.

APIs Used

Python Example

Understand Talent Gaps

In this example, we define as specific region and zip code by usig our governments data APIs to identify key factors which includes population, crime rates, earnings, and cost of living.

APIs Used

Authentication
CoreLMI - Government data API.
Cost of Living Dataset - Out cost of living dataset.

Python Example

Case Management

Understand Skill Gaps

In this example, a resume is parsed to extract employment history and qualifications, which are then mapped to the Lightcast Occupational Taxonomy (LOT). Raw skills are subsequently identified and mapped to the Lightcast Skills Taxonomy, and the top skills present in the original résumé are returned.

APIs Used

Python Example

Alterantive Career Options

In this example a raw job title is normalized to the Lightcast Occupational Taxonomy(LOT) and find potential occupational advancement alternatives.

APIs Used

Python Example

Live Job Postings

In this example raw job titles are classified the Lightcast Occupational Taxonomy (LOT) and display active job postings for given occupation.

APIs Used

Python Example

Workforce Developement

Lightcast insights help organizations:

Understand the value employers place on specific skills and certifications
Assess whether certifications lead to quality jobs and support broader economic strategies
Identify career progression pathways, aligning individuals with in-demand roles and highlighting the skills needed to advance

Identify Career Paths

In this example, raw skills are mapped to the Lightcast Skills Taxonomy, and related occupations are identified based on those skills.

APIs Used

Python Example

Value of Certifications

In this example, raw skills are classified using the Lightcast Skills Taxonomy, and live job postings associated with those skills are displayed.

APIs Used

Python Example

Identify Skills to Invest

In these examples, CIP codes are mapped to the Lightcast taxonomies, and either the Job Postings API or the Salary Boosting Skills API is used to identify the most valuable skills for workers to develop.

APIs Used

Python Example