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π― Scorecards & Metrics - KPI Goal Tracking
Track Organizational Goals with Automated Status, Check-Ins, and Hierarchical Scorecards

Last Updated: 2026-04-21 | Version: 1.0.0
π Table of Contents
π― Overview
Scorecards and Metrics in Power BI / Microsoft Fabric provide a structured, goal-tracking layer on top of your semantic models. They transform raw measures into organizational objectives with targets, owners, timelines, and automated status indicators. Instead of interpreting a number on a dashboard, stakeholders see whether they are on track, at risk, or behind β with context on who is responsible and what actions are needed.
Why Scorecards Matter
Dashboards show what happened. Scorecards show whether what happened is good enough. They bridge the gap between data and accountability.
Key Capabilities
| Capability | Description |
| Goal Tracking | Define numeric targets with start/current/target values and deadlines |
| Status Rules | Automated on-track / at-risk / behind classification based on configurable thresholds |
| Check-Ins | Manual or automated periodic updates with notes and evidence |
| Connected Goals | Link child goals to parent goals; roll-up status across hierarchies |
| Dataset Connection | Pull current values directly from Power BI semantic model measures |
| Notifications | Alert goal owners when status changes or check-ins are due |
| Embedding | Embed scorecards in Power BI reports, Teams tabs, and SharePoint |
Scorecards vs Dashboards
| Aspect | Dashboard | Scorecard |
| Focus | What is the current value? | Are we meeting our target? |
| Owner | No explicit ownership | Every goal has an assigned owner |
| Timeline | Point-in-time or trend | Explicit start date β target date |
| Status | Inferred by the viewer | System-calculated (on-track/at-risk/behind) |
| Accountability | Passive display | Active check-ins with notes |
| Hierarchy | Flat or drill-down visuals | Nested goals with roll-up logic |
ποΈ Architecture
Scorecard Data Flow
flowchart TB
subgraph Sources["πΎ Data Sources"]
SM["Semantic Model<br/>(Direct Lake / Import)"]
MAN["Manual Entry<br/>(Check-Ins)"]
end
subgraph Scorecard["π― Scorecard Engine"]
GOALS["Goals<br/>(Target, Current, Status)"]
RULES["Status Rules<br/>(Thresholds)"]
CHECKIN["Check-In<br/>History"]
ROLLUP["Hierarchy<br/>Roll-Up"]
end
subgraph Consumers["π€ Consumers"]
PBI["Power BI<br/>Reports"]
TEAMS["Microsoft<br/>Teams Tab"]
SP["SharePoint<br/>Web Part"]
NOTIFY["Notifications<br/>(Email / Teams)"]
end
SM -->|"Auto-refresh<br/>current value"| GOALS
MAN -->|"Manual<br/>updates"| CHECKIN
CHECKIN --> GOALS
GOALS --> RULES
RULES -->|"Evaluate"| GOALS
GOALS --> ROLLUP
ROLLUP --> GOALS
GOALS --> PBI
GOALS --> TEAMS
GOALS --> SP
RULES -->|"Status change"| NOTIFY
style Sources fill:#2E86C1,stroke:#1A5276,color:#fff
style Scorecard fill:#E67E22,stroke:#CA6F1E,color:#fff
style Consumers fill:#27AE60,stroke:#1E8449,color:#fff
Goal Lifecycle
stateDiagram-v2
[*] --> Defined: Create goal
Defined --> Active: Set start date
Active --> OnTrack: Status rule evaluates
Active --> AtRisk: Status rule evaluates
Active --> Behind: Status rule evaluates
OnTrack --> AtRisk: Performance drops
AtRisk --> Behind: Deadline approaching
AtRisk --> OnTrack: Recovery
Behind --> AtRisk: Partial recovery
OnTrack --> Completed: Target met
AtRisk --> Completed: Target met
Behind --> Completed: Target met
Completed --> [*]
βοΈ Creating Scorecards
Scorecard Structure
Scorecard: Q2 2026 Casino Operations
βββ Goal: Monthly Revenue Target
β βββ Current: $42.3M
β βββ Target: $45.0M
β βββ Status: At Risk (94%)
β βββ Owner: VP Operations
β βββ Connected Measure: [Total Revenue] from Semantic Model
β βββ Due: 2026-06-30
βββ Goal: Hold Percentage Target
β βββ Current: 8.2%
β βββ Target: 8.5%
β βββ Status: Behind (96.5%)
β βββ Owner: Floor Operations Director
β βββ Due: 2026-06-30
βββ Goal: Compliance Filing Completeness
β βββ Current: 100%
β βββ Target: 100%
β βββ Status: On Track (100%)
β βββ Owner: BSA Compliance Officer
β βββ Due: Ongoing
βββ Goal: Player Satisfaction Score
βββ Current: 4.2
βββ Target: 4.5
βββ Status: At Risk (93.3%)
βββ Owner: Guest Experience Director
βββ Due: 2026-06-30
Connecting Goals to Semantic Model Measures
Goals can pull their current value automatically from a Power BI semantic model measure:
| Goal | Connected Measure | Dataset | Refresh Frequency |
| Monthly Revenue | [Total Revenue] | Casino Operations Model | Daily |
| Hold % | [Hold %] | Casino Operations Model | Daily |
| CTR Filing Count | [CTR Filing Count] | Compliance Model | Daily |
| Player Satisfaction | [Avg Survey Score] | Guest Experience Model | Weekly |
π Status Rules and Scoring
Built-In Status Rules
| Status | Icon | Default Rule | Meaning |
| On Track | π’ | Current β₯ 90% of target | Proceeding as planned |
| At Risk | π‘ | Current between 70-89% of target | May not meet target without intervention |
| Behind | π΄ | Current < 70% of target | Unlikely to meet target; action required |
| Not Started | βͺ | No current value recorded | Goal defined but not yet active |
| Completed | β
| Current β₯ 100% of target | Goal achieved |
Custom Status Rules
Custom rules allow domain-specific thresholds:
Goal: Hold Percentage Target
βββ On Track: current_hold >= 8.3% (within 0.2% of target)
βββ At Risk: current_hold >= 7.8% (within 0.7% of target)
βββ Behind: current_hold < 7.8% (more than 0.7% below target)
βββ Target: 8.5%
Goal: Compliance Filing Completeness
βββ On Track: filed / required == 100%
βββ At Risk: filed / required >= 95%
βββ Behind: filed / required < 95%
βββ Note: Compliance has zero tolerance β At Risk triggers immediate review
Time-Weighted Status
For goals with deadlines, status considers both progress and remaining time:
quadrantChart
title Goal Status Matrix
x-axis Low Progress --> High Progress
y-axis Plenty of Time --> Running Out of Time
quadrant-1 On Track
quadrant-2 At Risk (time)
quadrant-3 Behind
quadrant-4 At Risk (progress)
"Revenue Q2": [0.85, 0.5]
"Hold %": [0.65, 0.4]
"CTR Filings": [1.0, 0.5]
"Player Satisfaction": [0.7, 0.6]
π Automated Check-Ins
Check-In Sources
| Source | How It Works | Frequency |
| Dataset Refresh | Current value pulled from semantic model measure on refresh | Matches dataset refresh schedule |
| Manual Entry | Goal owner enters value and notes via Scorecard UI | On-demand or scheduled |
| Power Automate | Flow triggers check-in via API when external event occurs | Event-driven |
| REST API | Programmatic check-in from pipelines or notebooks | As needed |
Automated Check-In Flow
sequenceDiagram
participant Pipeline as Fabric Pipeline
participant SM as Semantic Model
participant SC as Scorecard
participant Owner as Goal Owner
participant Teams as Microsoft Teams
Pipeline->>SM: Refresh dataset (06:00 AM)
SM->>SC: Updated measure values
SC->>SC: Evaluate status rules
alt Status Changed
SC->>Owner: Notification: "Hold % changed to At Risk"
SC->>Teams: Post to #operations channel
end
SC->>SC: Record check-in with timestamp
Check-In History Example
| Date | Value | Status | Note | Updated By |
| 2026-04-21 | $42.3M | π‘ At Risk | Below target pace; weekend promotion planned | Auto (dataset) |
| 2026-04-14 | $39.1M | π‘ At Risk | Slow week due to maintenance downtime | VP Operations |
| 2026-04-07 | $28.5M | π’ On Track | Strong opening week for Q2 | Auto (dataset) |
| 2026-04-01 | $0 | βͺ Not Started | Q2 begins | System |
π Connected Goals and Hierarchies
Hierarchical Scorecard Structure
flowchart TB
subgraph Enterprise["π’ Enterprise Scorecard"]
E1["Total Revenue<br/>Target: $180M<br/>π’ On Track"]
end
subgraph Properties["π¨ Property Scorecards"]
P1["Las Vegas<br/>Target: $80M<br/>π’ On Track"]
P2["Atlantic City<br/>Target: $55M<br/>π‘ At Risk"]
P3["Tribal Casino<br/>Target: $45M<br/>π΄ Behind"]
end
subgraph Departments["π° Department Goals"]
D1["LV Slots<br/>$52M / $55M"]
D2["LV Tables<br/>$26M / $25M"]
D3["AC Slots<br/>$28M / $32M"]
D4["AC Tables<br/>$20M / $23M"]
D5["Tribal Slots<br/>$18M / $25M"]
D6["Tribal Tables<br/>$14M / $20M"]
end
E1 --> P1
E1 --> P2
E1 --> P3
P1 --> D1
P1 --> D2
P2 --> D3
P2 --> D4
P3 --> D5
P3 --> D6
style Enterprise fill:#1A5276,stroke:#154360,color:#fff
style Properties fill:#2E86C1,stroke:#1A5276,color:#fff
style Departments fill:#85C1E9,stroke:#5DADE2,color:#000
Roll-Up Logic
| Roll-Up Method | Description | Best For |
| Weighted Average | Parent status = weighted average of children based on target amounts | Revenue, financial goals |
| Worst Case | Parent takes the worst status among children | Compliance, safety goals |
| Average | Simple average of child statuses | Balanced scorecards |
| Custom | Business-defined formula | Complex multi-factor goals |
π° Casino Implementation
Monthly Hold% Targets by Property
Scorecard: FY2026 Hold Percentage Targets
βββ Enterprise Hold%: Target 8.5%
β βββ Las Vegas Properties
β β βββ Slot Hold%: Current 8.8% | Target 8.5% | π’ On Track
β β βββ Table Hold%: Current 15.2% | Target 15.0% | π’ On Track
β βββ Atlantic City Properties
β β βββ Slot Hold%: Current 8.1% | Target 8.5% | π‘ At Risk
β β βββ Table Hold%: Current 14.3% | Target 15.0% | π‘ At Risk
β βββ Tribal Properties
β βββ Slot Hold%: Current 7.4% | Target 8.5% | π΄ Behind
β βββ Table Hold%: Current 13.8% | Target 15.0% | π΄ Behind
Coin-In Goals per Property
Coin-in (total amount wagered) is the primary volume metric for slot operations:
| Property | Monthly Target | Current | % of Target | Status |
| Las Vegas Main | $120M | $98M | 81.7% | π’ On Track (pace) |
| Atlantic City | $85M | $58M | 68.2% | π‘ At Risk |
| Tribal Resort | $45M | $24M | 53.3% | π΄ Behind |
| Reno Property | $30M | $23M | 76.7% | π’ On Track (pace) |
Compliance Filing Completeness
Zero-tolerance scorecard for regulatory filings:
Scorecard: Compliance Filing Completeness (April 2026)
βββ CTR Filings: 47/47 filed | 100% | π’ On Track
βββ SAR Filings: 12/12 filed | 100% | π’ On Track
βββ W-2G Filings: 2,341/2,341 filed | 100% | π’ On Track
βββ Title 31 Training: 98% complete | Target 100% | π‘ At Risk
β βββ Note: 3 new hires pending training completion by 4/30
βββ Audit Readiness Score: 94/100 | Target 95 | π‘ At Risk
βββ Note: Documentation gap in cage count procedures
ποΈ Federal Agency Implementation
flowchart TB
subgraph Federal["πΊπΈ Federal Performance Scorecard"]
F1["Cross-Agency<br/>Performance Index<br/>π’ 88/100"]
end
subgraph Agencies["ποΈ Agency Scorecards"]
A1["USDA<br/>Crop Data Timeliness<br/>π’ On Track"]
A2["SBA<br/>Grant Utilization Rate<br/>π‘ At Risk"]
A3["NOAA<br/>Alert Accuracy<br/>π’ On Track"]
A4["EPA<br/>Inspection Coverage<br/>π΄ Behind"]
A5["DOI<br/>Lease Processing Time<br/>π’ On Track"]
end
F1 --> A1
F1 --> A2
F1 --> A3
F1 --> A4
F1 --> A5
style Federal fill:#1A5276,stroke:#154360,color:#fff
style Agencies fill:#2E86C1,stroke:#1A5276,color:#fff
Grant Utilization Rate (SBA)
| Program | Allocated | Disbursed | Utilization | Target | Status |
| 7(a) Loans | $28.6B | $24.1B | 84.3% | 90% | π‘ At Risk |
| 504 Loans | $7.5B | $6.9B | 92.0% | 90% | π’ On Track |
| Microloans | $85M | $71M | 83.5% | 85% | π‘ At Risk |
| SBIR Grants | $3.2B | $2.8B | 87.5% | 90% | π‘ At Risk |
| Disaster Loans | $2.1B | $1.9B | 90.5% | 85% | π’ On Track |
SLA Tracking (NOAA Weather Services)
| SLA Metric | Target | Current | Status |
| Storm alert issuance within 15 min of detection | 98% | 99.2% | π’ On Track |
| Forecast accuracy (24-hour) | 85% | 87.3% | π’ On Track |
| Data publication latency (hourly obs) | < 30 min | 22 min avg | π’ On Track |
| API uptime | 99.9% | 99.7% | π‘ At Risk |
| Station reporting completeness | 95% | 91.2% | π΄ Behind |
EPA Inspection Coverage
Goals tracking the percentage of regulated facilities inspected within the required cycle:
Scorecard: EPA Inspection Coverage FY2026
βββ TRI Facilities: 72% inspected | Target 85% by Q4 | π΄ Behind
β βββ Note: Staff shortages in Region 4; contractor augmentation approved
βββ Clean Water Act: 88% inspected | Target 90% | π‘ At Risk
βββ Clean Air Act: 91% inspected | Target 90% | π’ On Track
βββ RCRA Hazardous Waste: 79% inspected | Target 85% | π‘ At Risk
π Security
Access Control
| Level | Who Can View | Who Can Edit |
| Scorecard | Workspace viewers and above | Workspace contributors and above |
| Goals | Inherits from scorecard | Goal owner + scorecard editors |
| Check-Ins | Same as goal viewers | Goal owner only (or delegates) |
| Connected Measures | Subject to semantic model RLS | N/A (read-only connection) |
Security Best Practices
| Practice | Description |
| RLS on connected datasets | Ensure semantic model measures respect RLS so scorecards show filtered results |
| Separate compliance scorecards | Keep compliance goals in a restricted workspace with limited membership |
| Audit check-in history | Monitor who updates goals and when for accountability |
| Workspace isolation | Use separate workspaces for property-level vs enterprise-level scorecards |
β οΈ Limitations
| Limitation | Details | Workaround |
| No custom calculated metrics | Cannot define formulas within the scorecard itself | Pre-compute in the semantic model; connect goal to the computed measure |
| Limited roll-up logic | Built-in roll-ups are simple (average, worst); no weighted custom formulas | Use a Power BI measure for weighted roll-up; connect parent goal to that measure |
| Manual check-in friction | No mobile app for check-ins; must use web UI or API | Use Power Automate flows triggered from Forms or Teams for mobile-friendly entry |
| No conditional formatting | Status colors are fixed (green/yellow/red) | Embed scorecards in Power BI reports where conditional formatting is available |
| 50 goals per scorecard | Maximum of 50 goals in a single scorecard | Create linked scorecards (property-level β enterprise roll-up) |
| No historical trend charts | Scorecard UI does not show check-in history as a trend chart | Build a companion Power BI report page that visualizes check-in history from the API |
| Dataset refresh dependency | Automated check-ins only update when the connected dataset refreshes | Align dataset refresh schedules with scorecard check-in cadence |
| Notification limits | Notifications are per-goal; no digest or summary notification | Use Power Automate to aggregate status changes into a daily digest |
π References
| Resource | URL |
| Metrics in Power BI | https://learn.microsoft.com/power-bi/create-reports/service-goals-introduction |
| Create Scorecards | https://learn.microsoft.com/power-bi/create-reports/service-goals-create |
| Connected Goals | https://learn.microsoft.com/power-bi/create-reports/service-goals-create-connected |
| Automated Status Rules | https://learn.microsoft.com/power-bi/create-reports/service-goals-status-rules |
| Check-Ins and Notes | https://learn.microsoft.com/power-bi/create-reports/service-goals-check-in |
| Scorecards REST API | https://learn.microsoft.com/rest/api/power-bi/scorecards |
π Document Metadata - Author: Documentation Team - Reviewers: Data Engineering, BI Team, Operations - Classification: Internal - Next Review: 2026-07-21