[SAMPLE] Canaria | Title & Skill Taxonomy Data | Custom Database | US | 2 Years Historical Data ...

Advanced Processing, Superior Insights

Utilizing state-of-the-art AI and large language models (LLMs) validated by human experts, we are dedicated to delivering high-quality, actionable data through innovative technology. Apart from the models included in our standard data offerings, we have developed additional models to provide tailored results to your needs. Our models include sentiment analysis, anomaly detection, and LLM-based summarization, which provide precise insights into public perception, employee feedback, and concise text summaries.

Our Models:

• Deduplication Model: This model first removes exact duplicate records and then uses advanced AI to identify and eliminate near-duplicate job postings across different URLs, achieving approximately a 60% deduplication rate. This ensures that your data is clean and free from redundancy, providing a clearer picture of job market trends and reducing noise in your analysis.
• Title Taxonomy Model: With over 20 million unique job titles in our 500M+ job postings database, analysis can be challenging. Our AI models categorize each job posting into one of 50,000 standardized job titles from our internal normalized title taxonomy. This categorization simplifies data analysis, making it easier to identify trends and insights across various industries and job functions.
• Skill Taxonomy Model: Our in-house AI model identifies key entities in job postings, including hard skills, soft skills, certifications, and qualifications. Unlike keyword-based approaches, our model not only finds relevant keywords but also excludes irrelevant ones, ensuring precise data. For example, "Hepatitis B" is identified as a skill relevant to nursing jobs but not to accounting jobs, ensuring that the data you receive is highly accurate and contextually appropriate.
• Job Category Model: Our AI models analyze job descriptions, entities, predicted salary, location, industry, and job title to determine the seniority level of a job, standardizing levels across different companies. Another model identifies if a job is remote, onsite, or hybrid, accounting for discrepancies between job classifications and descriptions (e.g., a job classified as onsite but open to remote). This helps in accurately categorizing job postings, making it easier to match candidates with appropriate roles.
• Salary Estimation Model: Using company salary history, industry ranges, location, seniority, and public government data, our models predict the salary range for job postings. This model provides insights into salary trends and benchmarks, helping companies to set competitive salaries and job seekers to understand their market value.
• Government Classification Models: We developed models to classify job postings into Standard Occupation Codes (SOC) by the BLS and to categorize companies into industries based on their job posting information. This ensures compliance with governmental standards and provides a standardized framework for analyzing job market data.

• Our Title & Skill Taxonomy Data product leverages advanced AI and large language models (LLMs) to organize job titles and associated skills into a hierarchical structure, providing a comprehensive and dynamic skill-based approach to workforce management. This title & skill taxonomy captures real-time labor market trends by analyzing millions of job adverts, ensuring it reflects the latest employer demands and market conditions. Key features include:
• Detailed Skill Descriptions: Our title & skill taxonomy provides clear and detailed definitions for each skill, ensuring a comprehensive understanding across all organizational levels. These descriptions help HR professionals, managers, and employees to identify and develop the necessary skills for various roles.
• Hierarchical Skill Mapping: Our title & skill taxonomy categorizes skills from broad to specific, creating a structured and easy-to-navigate framework. This helps organizations identify skill gaps, design targeted training programs, and support career development and succession planning.
• Demand and Supply Analysis: Our models measure the current demand for various skills, historical trends, and the value of different skill clusters based on job advert data. This analysis helps organizations to understand the skills landscape, forecast future needs, and make informed strategic decisions.
• Interactive Search and Insights: The interactive search feature allows users to discover the required skills for various job titles, enhancing recruitment and internal mobility efforts. By providing insights into the skills landscape, this feature helps organizations to attract the right talent and retain valuable employees.
• Continuous Updates and Adaptability: Our title & skill taxonomy is regularly updated to reflect the fast-evolving tech industry and maintain its relevance. This ensures that your organization stays ahead of industry trends and can quickly adapt to changes in the labor market.
• Comprehensive Workforce Management Support: This dynamic title & skill taxonomy supports HR professionals in optimizing hiring processes, developing effective learning and development programs, and managing talent with precision. It provides actionable insights into workforce skills, promoting a resilient, skill-first business approach.
• Enhanced Data Integration: By integrating data from various sources, including job adverts, employee surveys, performance reviews, and industry reports, our title & skill taxonomy provides a holistic view of the skills landscape. This comprehensive approach ensures that all relevant skills and competencies are captured and accurately represented.
• Scalable and Customizable Solutions: Our title & skill taxonomy is designed to be scalable and customizable, allowing organizations to tailor it to their specific needs. Whether you are a small business or a large enterprise, our taxonomy can be adapted to fit your unique requirements and support your strategic goals.
• Strategic Workforce Planning: With insights into current and future skill needs, organizations can proactively plan for workforce changes, ensuring they have the right talent to meet their business objectives. This strategic approach to workforce planning helps organizations to stay competitive and drive growth.
By integrating these advanced models and features, the Title & Skill Taxonomy Data product becomes a robust tool that not only supports current workforce management needs but also adapts to future industry shifts and organizational growth. This product empowers organizations to make data-driven decisions, optimize their talent management strategies, and build a skilled and resilient workforce for the future.