Solution

Quantiphi collaborated with different teams within TalentNet during the MAP Assessment to discover current pain points and business priorities and designed a roadmap.

Following the assessment, the Quantiphi team mobilized implementation by setting up an enterprise data warehouse on Amazon Redshift with

Data pipelines for staging, integration, and presentation layers
Continuous data integration
Dashboards on Amazon Quicksight

Through the data analytics platform, TalentNet can:

Provide in-depth analysis of talent management through 6+ custom dashboards
Allow users to analyze hiring patterns using trend analytics in talent management
Enable Q&A capabilities on the dashboard for users by leveraging the NLP features of Amazon QuickSight
Provide a single source of truth for future use cases such as fraud detection, text and engagement analysis, and benchmarking study

Results

As a single point of truth, the enterprise data warehouse is a three-layered model that captures Change Data
Over six multi-layered dashboards with business KPIs in Quicksight enable data analytics
Self-serve analytics using Quicksight’s NLP features
Future readiness for advanced analytics

“Quantiphi enabled us to effectively manage and consolidate our talent data while integrating an AI layer into our platform. This transformation has made data-driven decisions central to our customers’ talent acquisition processes and overall hiring strategies, allowing us to unlock new efficiencies and insights that significantly enhance our business outcomes.”
Shawn Duggan, VP of Application Development and Platform Engineering at TalentNet