// EXECUTIVE INTELLIGENCE
Training Telemetry
CAPACITY BUILDING COMMISSION METRICS & MULTI-CADRE HEATMAPS
Platform Activity Trends (9-Month Rollout)
ALL CADRES Cadre Audits AI Quizzes Completed Courses
Competency Heatmap
MATRIX| Competency Area | ISS | SSS | State DES |
|---|---|---|---|
| Survey Design | 4.2 | 3.1 | 2.3 |
| Sampling | 4.0 | 3.0 | 2.0 |
| Data Analysis | 4.5 | 3.5 | 2.5 |
| R/Python | 3.2 | 1.8 | 1.0 |
| SQL | 2.8 | 2.0 | 1.3 |
| ML Basics | 2.0 | 0.8 | 0.3 |
| GIS | 2.5 | 1.5 | 1.0 |
| e-Governance | 3.0 | 2.5 | 1.8 |
| Cybersecurity | 2.8 | 2.0 | 1.5 |
| Leadership | 3.8 | 2.5 | 2.2 |
Training ROI (Proficiency Gain)
SCATTERX: MANDATED iGOT HOURS • Y: EVALUATED APAR SKILL GAIN %
Deficit Severity Mix
190 AUDITEDStrategic Cadre Intelligence Directives
CBC SYNTHESISTechnical Skills Gap in Field Cadres
Machine Learning and Big Data tabulation lag behind institutional benchmarks. 72% of SSS officers require structured Python/R upskilling on iGOT.
NSSTA TPAC Sampling Modules Deliver 50% ROI
Officers completing the advanced multi-stage sampling module demonstrate highest post-assessment retention across official survey rounds.
State DES Integration Recommended
State statistical officers average 2.1/5 in technical tools vs 3.2/5 for ISS. Priority rollout of state multi-tenancy modules is underway.