Infor Talent Science
Talent assessment software
Talent intelligence software
HR analytics software
Recruiting software
Pre-employment screening software
Talent management software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Infor Talent Science and its alternatives fit your requirements.
Contact the product provider
Free Trial unavailableFree version unavailable
Small
Medium
Large
- Retail and wholesale
- Transportation and logistics
- Accommodation and food services
What is Infor Talent Science
Infor Talent Science is a talent assessment and selection platform that uses job-specific assessments and predictive models to support hiring and internal mobility decisions. It is used by HR, recruiting, and talent teams to evaluate candidate fit, reduce early attrition risk, and improve quality-of-hire reporting. The product typically combines validated assessments with analytics dashboards and integrations to applicant tracking and HR systems, and it is often deployed in high-volume or multi-location hiring environments.
Job-specific assessment models
The platform centers on role-based assessments and benchmarking that map candidates to job success profiles. This supports more consistent evaluation across recruiters and locations than unstructured screening alone. It is well-suited to organizations that hire repeatedly for the same roles and want standardized decision criteria.
Selection analytics and reporting
Infor Talent Science provides reporting to analyze funnel performance and outcomes tied to assessment results. Teams can monitor pass-through rates, compare cohorts, and track indicators such as early turnover where data is available. This aligns with HR analytics use cases beyond basic recruiting workflow metrics.
Enterprise integration orientation
The product is commonly positioned for integration with enterprise HR and recruiting ecosystems rather than operating as a standalone lightweight hiring tool. This can reduce manual handoffs by embedding assessments into existing candidate workflows. It also supports centralized governance for assessment content and scoring across business units.
Implementation requires data readiness
Predictive selection approaches depend on having sufficient historical performance and hiring data to build and maintain models. Organizations without reliable outcome data or consistent job definitions may see longer time-to-value. Ongoing model governance and validation can add operational overhead compared with simpler screening tools.
Less focused on candidate UX
Compared with tools that emphasize conversational recruiting, scheduling automation, or lightweight application flows, this product’s core value is assessment and analytics. Companies seeking primarily engagement features may need additional recruiting software to cover those workflows. Candidate experience can also vary depending on how assessments are configured and delivered.
Assessment governance and compliance effort
Using assessments in hiring can require careful configuration, documentation, and monitoring for adverse impact and local regulatory requirements. This typically involves HR, legal, and industrial-organizational (I-O) psychology stakeholders. Smaller teams may find the governance burden higher than with basic pre-employment screening checks.
Plan & Pricing
No public pricing tiers published on the vendor site. Infor’s official Talent Science product page (Infor.com) does not list plan names, per-user or per-seat costs, or usage-based pricing; it directs prospects to contact Infor for a quote.
Seller details
Infor
New York, NY, USA
2002
Subsidiary
https://www.infor.com/
https://x.com/infor
https://www.linkedin.com/company/infor/
