Identifying and developing future skills, as well as establishing a hybrid workforce, are central challenges in Human Resource Management and Organizational Planning. These challenges lay the foundation for transforming and future-proofing your organization.As a pioneer in Digital Workforce Transformation, we support the following scenarios:
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Employee insight/Task Accuracy: Blend your legacy data and enrich it with Machine Learning and LLP. This ‘single version of the truth’ lies at the heart of data-driven decision-making |  |
Future-Proofing: Visualize and prepare for various future organizational scenarios and changing skills and competences. This will secure and optimize your company’s choices and trajectory |
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Strategic Decision-making: Unlock the ability to align workforce strategies with organizational objectives, enhancing performance and achieving key goals |  |
Predictive Workforce Dynamics: Anticipate and plan for workforce changes and trends, aligning your talent pool with business strategies for a robust, future-ready organization |
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Intelligent HR Management: Quickly access critical HR data for informed, decisive action, keeping your HR initiatives effectively synchronized with organizational demands |  |
Talent Placement with AI Precision: Enhance job placements and employee insights with AI-driven suggestions, ensuring the best match for careers, employee engagement, performance and profit |
Requirements
Figure 1: Typical Data Entities used in corporates
Digital workforce transformation requires a harmonized and consolidatedview of HR data. Currently, businesses often struggle with that. This is because inconsistent data frequentlyresides in various systems, such as HRIS, digital employee file systems, and learning
msg Data Enrichment Service enables businesses to improve data quality by enriching and harmonizing data. This is achieved using AI and a comprehensive ontology for data validation. Use Case “Job Description Enrichment for Competency Model Design”
Businesses often face challenges in creating new competency models to adapt to organizational changes. The msg Data Enrichment Service enhances HRIS data by adding detailed descriptions, typical skills, and educational requirements to job roles, using a comprehensive ontology for semantic understanding across the IT landscape.
This results in enriched and harmonized HR data that can be utilized for various purposes, such as talent search and skill gap analysis.
Figure 2: Use Case Data Enrichment and Harmonization
The msg Data Enrichment Service AI with trained machine learning models and large language models (LLMs) to perform its tasks. It is offered as a SaaS solution and can be made available immediately.
Figure 3: msg Data Enrichment and Harmonization Service