Access Governance Dashboard

How I reduced quarterly access reviews from 40 hours to 10 hours while improving security posture

75% Time Reduction
$50K Annual Savings
150+ Risks Identified

Access Governance Dashboard

The Challenge: Manual Access Reviews Were Killing Productivity

A Fortune 500 financial services company was drowning in manual access review processes

Time Drain

40 hours per quarter spent on manual access reviews across multiple systems

  • Security team manually exporting user lists from 12 different systems
  • Managers spending weeks reviewing spreadsheets
  • Follow-up emails and phone calls to chase approvals

Hidden Risks

⚠️

Critical security gaps were invisible in the manual process

  • Orphaned accounts from terminated employees
  • Excessive permissions accumulating over time
  • Shared accounts with unclear ownership
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Compliance Nightmare

Audit findings due to incomplete documentation and delayed reviews

  • Missing approval records for 15% of accounts
  • Reviews completed weeks after deadlines
  • No visibility into review completion status

Business Impact

$75K Annual labor cost for manual reviews
25% Of reviews completed late
3 Audit findings in previous year

My Approach: Data-Driven Automation Strategy

How I transformed manual chaos into intelligent automation

1

Discovery & Analysis

Conducted comprehensive analysis of existing processes and data sources

  • Mapped all 12 identity systems and their APIs
  • Analyzed 6 months of historical access review data
  • Interviewed 15 stakeholders across security and business teams
  • Identified key pain points and automation opportunities
2

Solution Design

Designed an integrated dashboard that would automate data collection and provide intelligent insights

  • Created unified data model combining all identity sources
  • Designed risk scoring algorithm based on access patterns
  • Built workflow automation for review assignments
  • Developed real-time monitoring and alerting system
3

Stakeholder Alignment

Ensured buy-in from all stakeholders through collaborative design sessions

  • Conducted design workshops with security and business teams
  • Created mockups and prototypes for feedback
  • Established success metrics and KPIs
  • Developed change management and training plan

Implementation: Building the Solution

Technical details and architecture decisions that made the project successful

Technology Stack

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Python

Data processing, API integration, and automation scripts

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Tableau

Interactive dashboards and data visualization

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PostgreSQL

Centralized data warehouse for identity information

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REST APIs

Integration with 12 different identity systems

Solution Architecture

Data Sources

Active Directory SailPoint AWS IAM Salesforce +8 more systems

Data Processing

Python ETL Scripts Data Validation Risk Scoring

Data Warehouse

PostgreSQL Database Unified Data Model

Presentation Layer

Tableau Dashboard Email Notifications Mobile Access

Implementation Phases

Phase 1: Foundation (2 weeks)

  • Set up data warehouse infrastructure
  • Develop API connectors for top 5 systems
  • Create basic data model and ETL processes

Phase 2: Core Features (3 weeks)

  • Build risk scoring algorithm
  • Develop main dashboard views
  • Implement automated review workflows

Phase 3: Integration (2 weeks)

  • Connect remaining 7 identity systems
  • Add advanced analytics and reporting
  • Implement notification system

Phase 4: Deployment (1 week)

  • User training and documentation
  • Production deployment
  • Performance monitoring setup

Results: Transformational Business Impact

Quantifiable improvements that exceeded all expectations

⏱️

75% Time Reduction

From 40 hours to 10 hours per quarter

Equivalent to $50K annual labor savings
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150+ Risks Identified

Previously hidden security vulnerabilities

Including 23 orphaned admin accounts

100% Compliance

Zero audit findings in subsequent reviews

Complete audit trail and documentation

Before vs. After Comparison

Review Process Time

Risk Detection Rate

Stakeholder Feedback

Lessons Learned: Key Insights for Future Projects

What I learned and how it informs my approach to similar challenges

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Stakeholder Engagement is Critical

What I learned: Early and continuous engagement with end users prevented scope creep and ensured adoption.

Applied to future projects: I now conduct weekly stakeholder check-ins during development phases.

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Start with Data Quality

What I learned: 30% of initial development time was spent cleaning and standardizing data from different systems.

Applied to future projects: I now include data quality assessment as a separate project phase.

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Iterative Development Works

What I learned: Delivering working features every 2 weeks kept stakeholders engaged and allowed for course corrections.

Applied to future projects: I use agile methodology for all dashboard and automation projects.

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Measure Everything

What I learned: Having baseline metrics made it easy to demonstrate ROI and justify additional investments.

Applied to future projects: I establish measurement frameworks before starting development.

What's Next for This Project

Phase 2 Enhancements

  • Machine learning for predictive risk scoring
  • Integration with SOAR platforms for automated remediation
  • Mobile app for on-the-go approvals

Scaling to Other Domains

  • Privileged access management dashboard
  • Application access governance
  • Cloud resource access monitoring

Ready to Transform Your Access Governance?

Let's discuss how I can help you achieve similar results in your organization