Use OBA by LANCE to gather structured, anonymized insights from recorded conversations. These outputs map directly to your leadership models (e.g., emotional intelligence, strategic thinking) and are ready for integration.

2. Ingest 360 Feedback and Performance Scores

• Export structured 360 data: competency ratings, qualitative feedback, and anonymity tags.
• Pull performance scores from your HRIS using scheduled jobs or APIs.
• Normalize all data into a common competency scale for accurate comparisons.

3. Build a Central Data Warehouse

Create a cloud-based data lake (e.g., Snowflake, Amazon Redshift) to consolidate GloCoach exports, 360 feedback, and HRIS metrics. Include timestamps and context for each data source.

4. Apply Talent Analytics

Use GloCoach Talent Analytics to derive trends, risk indicators, and readiness scores. Combine metrics using BI tools (Power BI, Tableau) to calculate indices like “Leadership Strength Index.”

5. Design Unified Dashboards

• Compare voice, 360, and performance metrics in competency heatmaps.
• Track trends such as rising confidence scores versus stagnant performance.
• Enable filters by team, function, or readiness tier for detailed views.

6. Automate Refresh and Data Governance

Ensure reliability through scheduled pulls and snapshot storage. Implement role-based access and anonymization policies for ethical and secure data use.

7. Embed Coaching and Feedback Loops

Use real-time gaps (e.g., low voice competence but high performance) to trigger advisory coaching. Link dashboards directly to GloCoach development plans for seamless action.