To have effective employees training programs, the organization must know what skills their employees need to grow and anticipate them against the changing market trends. This is possible through data analytics tools that contain internal and external data.
As an example, Rhetorik ProfileFinder is a global professional profile database that has 800+ million professional profiles, including your employees. The global data is ethically sourced and GDPR-compliant. All profiles are refreshed weekly to keep your data up-to-date.
The database is powered by Rhetorik Occupational Model. The ROC is an AI model that classifies, translates, and normalizes the Rhetorik job titles database composed of 235M raw job titles. It provides 199M clean and normalized job titles. The ROC normalizes and classifies jobs from 46 different languages automatically in 164 countries. Moreover, the ROC Rhetorik language identification model surpasses by 5% other commercial and open solutions meaning more language detects and more precisely. The Rhetorik Job seniority model has an incredible 97% accuracy on unseen job titles.
For example, it’s very common for databases, especially those in CRM systems, to contain records that have different data formats. Let’s look at titles, for example. One record may say “Sr. Engineer”, while others may contain alternative titles – such as “Sr Engineer” (no period), “Senior Engineer”, or “Senoir Engineer” (typo intended). Normalizing the data cleans this up for future processing – such as using “Senior Engineer” consistently in the examples above.
The ROC does the Job title translation and normalization automatically through the entire Rhetorik database. It brings several advantages to your training program:
- Consistency: Translating and normalizing job titles across different languages and regions ensures consistency in job descriptions and qualifications. This helps HR professionals understand and compare roles accurately, regardless of cultural or linguistic differences.
- Global Talent Management: With a standardized approach to job titles, HR training programs can facilitate global talent management. It becomes easier to identify skill sets, experience, and qualifications required for specific positions, enabling better recruitment, career development, and succession planning strategies.
- Market Insights: By translating and normalizing job titles, HR professionals gain valuable insights into the job market globally. They can analyze trends, salary ranges, and skill demands across different regions, helping organizations make informed decisions about talent acquisition and market positioning.
- Training and Development Alignment: Standardized job titles facilitate the alignment of training and development programs with specific roles. HR training programs can be designed to address the skills and competencies required for each job title, ensuring that employees receive relevant and targeted training to excel in their respective positions.
- Career Pathing and Mobility: When job titles are translated and normalized, it becomes easier to establish clear career paths within an organization. Employees can understand the progression from one role to another and the skills they need to develop for advancement. This promotes employee engagement, retention, and internal mobility.
Also, Rhetorik skills extraction model, embedded in ProfileFinder, lets you see your employee skill needs in bulk. It’s an AI-powered extraction of 32,000 soft and hard skills extracted and inferred from public professional profiles. There’s a lot of benefits to use skills extraction model into your training programs like:
- Automated Skill Identification: Skill extraction models use natural language processing and machine learning techniques to automatically identify and extract skills mentioned in resumes, job descriptions, or other textual sources. This automation saves time and effort for HR professionals by eliminating the manual process of skill identification.
- Improved Candidate Screening: By leveraging skill extraction models, HR training programs can enhance the candidate screening process. These models can analyze resumes or applicant profiles and extract relevant skills, enabling HR professionals to quickly assess a candidate’s qualifications and match them with job requirements. This helps streamline the recruitment process and identify the most suitable candidates efficiently.
- Enhanced Talent Management: Skill extraction models assist in effective talent management. HR training programs can utilize these models to analyze skills present in the organization’s workforce, identify skill gaps, and develop targeted training and development initiatives. This helps organizations align their talent strategy with business goals, identify high-potential employees, and support career growth.
- Personalized Learning and Development: Skill extraction models enable personalized learning and development opportunities for employees. By understanding the skills possessed by individuals, HR training programs can recommend training modules, courses, or resources tailored to specific skill gaps. This personalized approach promotes employee engagement, maximizes the impact of training programs, and fosters continuous learning.