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Muath2000
Muath2000COMMUNITY
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platform-intelligence-architect

Architect a data intelligence layer correlating entities across services for role-based dashboards.

Updated Feb 22, 2026
Search Tags:#data privacy#dashboarding#intelligence layer#data residency#data correlation#PDPL#DSAR
One-click install
npx skills add https://github.com/Muath2000/TradeStation --skill platform-intelligence-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: platform-intelligence-architect
Source: https://github.com/Muath2000/TradeStation/tree/main/.claude/skills/platform-intelligence-architect
Command: npx skills add https://github.com/Muath2000/TradeStation --skill platform-intelligence-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles the complexity of integrating disparate data sources across multiple services, transforming raw data into actionable intelligence for both customer-facing dashboards and internal administrative analytics, while ensuring data privacy and residency compliance.

Core Features & Use Cases

  • Cross-Entity Correlation: Maps and links various entities (e.g., Assets, Vulnerabilities, Risks, Controls) to reveal complex relationships.
  • Data Enrichment: Augments data with computed metrics for deeper insights.
  • Role-Based Dashboards: Powers tailored dashboards for CISO, CCO, CRO, and Board members, focusing on risk, compliance, and strategy.
  • Anonymized Admin Analytics: Provides platform health, usage, and revenue insights without exposing individual tenant data, adhering to PDPL.
  • DSAR & Data Residency: Manages Data Subject Access Requests and enforces data residency rules.
  • Use Case: A CISO needs to understand the organization's overall security posture. This Skill aggregates data from vulnerability scans, control assessments, and incident reports to present a consolidated Cyber Score and highlight the top 10 risks by financial impact on their dashboard.

Quick Start

Act as Platform Intelligence Architect to build the data intelligence layer that correlates data across all CyberRadar services.

Frequently Asked Questions about platform-intelligence-architect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a data intelligence layer for cross-entity correlation and role-based dashboards?▼

Architect a materialized intelligence store to map and link entities like Assets and Vulnerabilities, then augment them with computed metrics to power tailored role-based dashboards for CISO, CCO, and Board members.

How does cross-entity data correlation work for security posture analytics?▼

Cross-entity data correlation aggregates inputs from vulnerability scans, control assessments, and incident reports to reveal complex relationships, presenting a consolidated Cyber Score and highlighting top financial impact risks.

Does this approach support anonymized admin analytics while enforcing PDPL data residency rules?▼

Yes, it provides anonymized platform health, usage, and revenue insights without exposing individual tenant data, while actively managing data privacy compliance including PDPL, DSAR, and data residency enforcement.

Can I use Kafka event streams for real-time analytics within a data intelligence layer?▼

Yes, the architecture utilizes Kafka event streams alongside a materialized intelligence store to process and deliver real-time analytics for both customer-facing and internal administrative dashboards.

What is the best way to manage Data Subject Access Requests across multiple disparate services?▼

Implement an intelligence layer that centralizes cross-entity correlation and compliance management, directly handling Data Subject Access Requests (DSAR) and enforcing data residency rules across integrated services.

Are there limitations when integrating disparate data sources for internal administrative analytics?▼

The primary constraint is maintaining strict data privacy and residency compliance; admin analytics must be fully anonymized to avoid exposing individual tenant data while processing cross-entity intelligence.

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