Demilka Skills Taxonomy
World leading comprehensive framework of 350,000 active skills across 20 industry sectors underpinned by a nomenclature dynamically updated to mirror todays evolving trends reflecting todays landscape.
Integrate Demilka's taxonomy into your skills search engine for precise analysis, matching & classification of skills.
Dynamically Aligning Skills Taxonomy with Job Demands
Demilka sets itself apart in the realm of Skills Taxonomy by diligently monitoring market demands for more than 350,000 active skills across 33 industries. By identifying redundancies and tracking newly emerging skills, Demilka ensures that its Taxonomy accuracy remains finely tuned to reflect current market demands.
What truly distinguishes Demilka Skills Taxonomy is its ability to delve deep into the intricacies of skill demand, offering insights at the most granular level of skills rather than confining analysis to broad, high-level categories. This granular approach allows organisations and individuals to gain a comprehensive understanding of the evolving skill landscape, enabling them to make informed decisions and stay ahead of the curve in a rapidly changing market environment.
Pic Sample:: evaluating both the position and drilling into skill demand trends for each Position & underlying skills will enable the Taxonomy to remain abreast of industry trends & skill movements.
Skills Taxonomy Standardisation
Demilka’s Standardised Taxonomy plays a critical role in ensuring a consistent and clear interpretation of skills across diverse user sources. Understanding that people may perceive, spell, and contextualise skills differently, the Demilka robust Taxonomy does not rely solely on user interpretation. Instead, leverages our advanced technologies to convert, standardise, and align users' skill meanings with their intended purposes effectively.
An effective Skills Taxonomy should encompass on average a multiple of five core skills for each end skill represented in the final Taxonomy. Demilka maintains a core repository of 1.5 million core or Alias skills, which are standardised to the final 350,00 active Skills in the Demilka Standardised Skills Taxonomy. By integrating intelligent matching algorithms and semantic analysis, Standardisation Taxonomy empowers individuals to accurately identify, comprehend, and apply skills in a standardised and harmonised manner, promoting seamless communication and collaboration in diverse professional environments.
Pic Sample:: Skill Alias converting multiple skill meanings& spellings into the single standard skill
Cross-Industry Skill Compatibility
The Demilka Skills Taxonomy excels at aligning skills with their respective industries to ensure precise categorisation and avoid cross-functional industry confusion that could lead to misinterpretations. By accurately mapping skills like "Architect" to their specific industry contexts, such as Construction or Information Technology, Demilka's advanced algorithms and industry expertise eliminate ambiguity and promote clear communication and understanding for users. This approach enhances the accuracy of skill assessments, streamlines talent acquisition, training, and performance evaluation processes, and ultimately supports workforce development and adaptability in response to changing economic demands.
From a user perspective, limitations imposed by job boards that confine skills to specific sectors can hinder the recognition of transferable skills with value across industries. This constraint may impede workers seeking to transition between sectors and pose challenges in addressing skill shortages by sector. By fostering cross-sector compatibility within skills taxonomies, organisations and policymakers can promote skill mobility, support workforce development initiatives, and strengthen the resilience and adaptability of the Labor market as it evolves to meet shifting economic needs.
Pic Sample:: example of the volume of skills advertised across different industry sectors where each skill can contain different criteria or attributes depending on the Industry
Skill Version & Release Differentiation
Demilka Skills Taxonomy distinguishes between different versions or releases of skills that is essential, as each iteration can bring about significant changes in capabilities and expertise. The Demilka skill Taxonomy has the capability to drill down and differentiate between various versions or releases of skills to accurately capture the nuances and specific requirements associated with each skill.
By recognising and categorising these skill version distinctions, organisations and individuals can consistently understand the evolving landscape of skills. This level of granularity not only enhances the precision of skill assessments but also enables targeted skill development and strategic decision-making based on the specific requirements of each skill version.
Pic Sample:: Demilka Nomenclature containing the granular version & release of each skill
Dipserse Multi Word Skill Linkage
Dispersed Multi Word Skill Linkage refers to the scenario where a skill composed of multiple words is spread across a document, posing a challenge for matching and identification when the words are not in proximity. Failure to connect and align these dispersed skill components with the core skill Taxonomy can diminish the credibility and trust in the Taxonomy's usability.
Demilka front-end automation links multi word skills to its core skill, enabling the recognition, connection, and alignment of scattered words into a cohesive skill Taxonomy, even when they are distributed across various sections of a sentence, paragraph, or document.
Pic Sample:: Linking disparate multi words skills to a single skill source which will improve the accuracy and reliability of skill matching.
Disperse Version Linkage
A Skills Taxonomy must not only account for different versions or releases of a product or technology but also be capable of linking multiple versions to the core skill. This can present a challenge for matching and identification when the various versions are not closely related to the core skill. Failing to both stores connect and align these version release components with the core skill Taxonomy can erode the credibility and trust in the Taxonomy's
As with Dispersed Skill Integration Demilka front-end automation links version release to the core source Skill Taxonomy, enabling the recognition, connection, and alignment of scattered version & releases into a cohesive skill Taxonomy, even when they are distributed across various sections of a sentence, paragraph, or document.
Pic Sample:: Linking disparate product & technology version & releases of skills to a single skill source which will improve the accuracy and reliability of skill matching.
Child/Parent Linkage
Failure to properly identify and link child skills to a central parent skill umbrella can lead to an incomplete understanding of skill matching search results, as it may only showcase one aspect of a skill without providing a comprehensive view. For instance, categorising Microsoft Excel 365 as a child skill without linking it to its parent skill, Microsoft Excel, can result in fragmented representations within the Taxonomy.
Demilka, utilising its Skill Family categorisation, associates all Child Skills with their Parent Skills and the metadata to ensure that Grand Parents are also included. This comprehensive approach guarantees a complete and detailed representation of a child skill, enabling users to navigate up to the Grand Parent skill and down to the Child skill.
For instance, when searching for the child skills Python 3.12.0 and 3.12.3, the Taxonomy would identify the Parent skill Python 3.0 and the Grand Parent skill Python. Ensuring that child skills are appropriately associated with their parent skills is crucial for providing a holistic and accurate portrayal of skills, enabling users to navigate the Taxonomy effectively and understand the relationships between related skills.
Front End Automation
The Demilka Taxonomy integrates front-end user automation technology to tackle and standardise common user challenges, such as re-aligning misspelled or misinterpreted skills, and linking disparate skills. This ensures that the Taxonomy remains dynamic and actively used, supporting the broader industry in aligning skills with job roles, training programs, educational initiatives, and curriculum.
Users can leverage the Demilka Taxonomy to standardise their personal documents, aligning their resumes and linked profiles with the Taxonomy. This alignment enables their information to be matched across various industry sources of their choice, including job opportunities, skill trends analysis, training courses, and university curricula. This seamless integration facilitates a more efficient and effective process for users to navigate and connect with relevant opportunities within their field
ANZSCO Integration
The Demilka Taxonomy can be customised to integrate with the ANZSCO Skills classification adding an extra the depth & breath of standardisation in skills classification.
Demilka Taxonomy can add an additional level of drill down skill classification to the existing Skills Priority List from the Jobs Skills Australia (JSA) Jobs & Skills Atlas.
Using the role of Surveyor as an example, the existing JSA categorisation allocates a "Shortage" at Position level. Demilka delves down to the deeper skill-set to better understand the Surveyor role composition, as a position is made up of many differing skills of importance that Demilka Taxonomy will enable to be analysed in isolation to determine its status.
