π Portfolio Intelligence
The Challenge: Integration Portfolio Blindness
Before Custom Metadata:
- CEO asks: "How many Gold SLA integrations does Finance own?"
- IT team: "Umm, let me check... [2 days of Excel hunting]"
- Result: Late answers, incomplete data, wrong decisions
After Custom Metadata:
- CEO asks: "How many Gold SLA integrations does Finance own?"
- IT team: "[60 seconds] 42 integrations, list attached, ready for review"
The Solution: Built-In Portfolio Filtering
Custom Metadata enables 4 simultaneous filters on every overview page:
Filter Examples:
Filter 1: Department = Finance
Filter 2: SLA = Gold
Filter 3: Environment = Production
Filter 4: Compliance = PCI DSS
Result: 42 critical Finance integrations identified instantly. Export to Excel with full metadata.
Real-World Impact
Report | Before | After | Value |
---|---|---|---|
Monthly Audit Report | 40 hours | 5 minutes | 39.25 hours saved |
SLA Distribution Analysis | 2 days | 30 seconds | Capacity planning enabled |
Ownership Gaps Detection | Unknown | 1 click | Governance dashboard visible |
Compliance Portfolio Review | Scheduled meeting | Instant export | Compliance confident |
Capacity Planning | Guesswork | Data-driven | Strategic decisions enabled |
Common Portfolio Queries
Question: Which integrations lack documented owners?
Filter 1: Owner = (empty)
Result: 8 integrations (remediate immediately)
Question: How many Gold SLA integrations are we running?
Filter 1: SLA = Gold
Result: 156 critical integrations (4 hour SLA target = cost implications)
Question: Show all GDPR integrations owned by departing employees.
Filter 1: Compliance = GDPR
Filter 2: Owner = [list of departing employees]
Result: 12 integrations (knowledge transfer urgent)
Question: Which Finance integrations are not yet approved?
Filter 1: Department = Finance
Filter 2: Approval Status = Pending
Filter 3: Environment = Production
Result: 5 integrations (blocking deployment, need approval)
Advanced: Risk Matrix from Metadata
Combine metadata filters to identify high-risk integrations:
Highest Risk:
β SLA = Gold (critical to business)
β Owner = (empty) (nobody responsible)
β Compliance = GDPR (regulatory exposure)
β Changes = 12+ this month (unstable)
Result: 3 integrations (require immediate attention)
Medium Risk:
β SLA = Silver (important)
β Owner = [assigned] (managed)
β Compliance = None (low regulatory)
β Changes = 2-5 this month (moderate volatility)
Result: 23 integrations (routine monitoring)
Low Risk:
β SLA = Bronze (nice-to-have)
β Owner = [assigned] (managed)
β Compliance = None (no regulatory)
β Changes = 0-1 this month (stable)
Result: 87 integrations (minimal oversight needed)
Result: Risk assessment automated. Governance efforts targeted.
Next Step
Add or manage Custom Metadata β Define metadata for filtering
Other scenarios β See governance in action
Related Topics
- Custom Metadata Overview - Return to hub
- Integrations - View integration portfolio
- Analytics & Reporting - Export metadata for analysis