Sevenstep understands that recruitment analytics need to go far beyond merely providing predictive data. Today’s talent acquisition leaders need prescriptive and actionable insight as well to prevent and prepare for events affecting their talent acquisition programs. With Talent AI™, Sevenstep’s proprietary data analytics platform, employers gain the data-driven intelligence needed to stay ahead of the talent acquisition curve.
Data Analytics
Predictive & Prescriptive Recruitment Intelligence
Talent AI™ streamlines historic, current and predictive data from multiple feeds and combines it with custom and propriety algorithms to provide talent acquisition executives with ultimate transparency into performance challenges and opportunities for:
- Rapid identification of hiring trends and bottlenecks
- Strategic recruitment workflow prioritization
- Improved recruitment resource allocation
- Enhanced communication among talent acquisition executives and business line leaders
Case Study: Employment Analytics for Retail Pharmacy Giant
Employment data reliability and transparency were essential to this Fortune 50 Healthcare company. Struggling to deliver actionable reporting to business leaders, this client turned to Sevenstep to build out stronger Data Analytics capabilities to navigate their complex, enterprise recruitment program. Explore how Sevenstep implemented the data intelligence and insights needed via Talent AI™ to help support better strategic TA decisions…
Challenges
Hiring Volume: 12,000 hires annually (3,000-4,000 managed by Sevenstep)
Roles:
- Corporate shared services roles: IT, Digital, Finance, Legal, HR
- Specialized roles: Medicare Part D, Clinical, Retail Support, Loss Prevention, Specialty Pharmacy
Geography: U.S. across 44 States
Key Challenges:
- HR business partners and recruitment teams utilizing multiple systems to track and report on data
- Time lost with manual ad hoc reporting and data verification
- Senior leadership was frustrated by the lack of unified definitions and formatting
- Frequent changes to the ATS, and often without prior or any warning across all system users, caused a great deal of rework of reporting
Approach
- Metrics & Definitions Standards: Partnered with HR Shared Services to define a new standard set of KPI measurements for RPO and in-house recruitment teams
- Workflow Unification: Standardized user workflows in ATS to ensure dispositioning and system usage consistent across recruitment delivery teams
- Data Consolidation: Utilized Talent AI® platform to aggregate data from multiple ATS and CRM systems to capture data and visualize analysis under one single user platform
- Heavy Training & Support Systems: Initial and ongoing collaboration and utilization sessions with client HR Shared Services and HRBPs
Results
- Drastic reduction of manual reporting
- Single platform to track, monitor and report on talent acquisition progress across the enterprise
- Multi-user access to real-time analysis and reporting via online portal without manual intervention
- Predictive analysis on recruitment sub-cycles and workflows, which can be utilized to drive recruiter performance and set goals
- Ability to report on source of hire and ROI analysis
- Purchase of additional standalone licenses for talent acquisition resources outside scope of Sevenstep’s Enterprise Solution engagement
The Talent Behind Data Analytics Solutions
Koye Adejumo
With over seven years in global, enterprise-level recruitment operations and two years in Business Intelligence in the financial services sector, Koye is an Executive Director, Client Services helping to lead best practices within Sevenstep’s Data Analytics Solutions. His deep experience with enterprise global RPO combines with his analytics background to make him a trusted internal conduit between Sevenstep’s internal users and the team of technologists behind Talent AI™ to ensure the program performs and evolves for all of Sevenstep clients.
Sevenstep is part of the Motion Recruitment Partners LLC family of innovative recruitment companies.