📱 Executive Dashboard That Maps Directly To Google Looker Studio

🚀 Looker Studio Configuration Transformer Production Ready

Convert HTML Executive Dashboard → Google Looker Studio Parameters, Calculated Fields & BigQuery Queries

💡 Engineering Note: This transforms your mock HTML dashboard into actual Looker Studio components. Each parameter below maps directly to a configuration setting in Looker Studio.

📊 DATA SOURCES & CONNECTIONS

🔗 BigQuery Connection

Project: `executive-dashboard-prod`
Dataset: `dashboard_metrics`
Location: `US`

Replace `` with actual BigQuery tables. Set freshness to 15 minutes.

🌐 API Connectors

• Stripe API: `live_secret_key_xxxx`
• Temporal: `grpc://temporal-prod.internal:7233`
• IPFS Gateway: `https://ipfs.infura.io/v0`

Use Partner Connectors for payment gateways. Custom connector required for Temporal/IPFS.

⚙️ REPORT PARAMETERS

🎯 Drift Threshold

Name: `drift_threshold`
Type: `Number`
Default: `0.05`

Controls cognitive health alert sensitivity. Users can override in View mode.

⚠️ Probability Alert Threshold

Name: `alert_probability`
Type: `Number`
Default: `0.75`

Filters precognitive alerts by minimum probability score.

📅 Audit Date Range

Name: `audit_days_back`
Type: `Number`
Default: `30`

Controls audit trail time window (days).

🧮 CALCULATED FIELDS

Compliance Status (Color-coded)

CASE
  WHEN compliance_score >= 0.95 THEN "✅ Good"
  WHEN compliance_score >= 0.85 THEN "⚠️ Warning"
  ELSE "🔴 Critical"
END

Flood Gate Status

CASE
  WHEN capacity_percentage > 80 THEN "🌊 OVERRIDE NEEDED"
  WHEN capacity_percentage > 50 THEN "⚠️ Elevated"
  ELSE "✅ Normal Operation"
END

Uptime SLA Status

IF(uptime_percentage >= 99.9, "🏆 Within SLA", "⚠️ SLA Breach")

📈 BIGQUERY: KPI METRICS

System Uptime Query

SELECT
  TIMESTAMP_TRUNC(timestamp, HOUR) as hour,
  AVG(uptime_percentage) as uptime_pct,
  COUNT(DISTINCT CASE WHEN error_type IS NOT NULL THEN request_id END) as error_count
FROM `prod.monitoring.uptime_checks`
WHERE timestamp >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 30 DAY)
GROUP BY hour
ORDER BY hour DESC

Unauthorized Attempts

SELECT
  DATE(timestamp) as date,
  COUNT(*) as attempts,
  COUNT(DISTINCT ip_address) as unique_ips
FROM `prod.security.auth_logs`
WHERE event_type = 'UNAUTHORIZED_ACCESS'
  AND timestamp >= CURRENT_DATE() - 1
GROUP BY date

🧠 COGNITIVE + TEMPORAL QUERIES

Cognitive Health (Drift Detection)

SELECT
  timestamp,
  model_name,
  drift_score,
  CASE WHEN drift_score > @drift_threshold THEN 'ALERT' ELSE 'NORMAL' END as drift_status
FROM `prod.ml.model_drift_metrics`
WHERE timestamp >= CURRENT_TIMESTAMP() - INTERVAL 7 DAY
ORDER BY timestamp DESC

Temporal Workflow Health

SELECT
  DATE(start_time) as date,
  workflow_type,
  COUNT(*) as total_workflows,
  SUM(CASE WHEN status = 'FAILED' THEN 1 ELSE 0 END) as failed_count,
  AVG(duration_seconds) as avg_duration
FROM `prod.temporal.workflow_executions`
WHERE start_time >= CURRENT_TIMESTAMP() - INTERVAL 7 DAY
GROUP BY date, workflow_type

🔒 AUDIT TRAIL + IPFS

Immutable Audit Log

SELECT
  timestamp,
  action,
  user_email,
  ipfs_cid,
  temporal_workflow_id,
  success_flag
FROM `prod.security.immutable_audit_log`
WHERE timestamp >= CURRENT_TIMESTAMP() - INTERVAL @audit_days_back DAY
ORDER BY timestamp DESC

Compliance Score Over Time

SELECT
  DATE(timestamp) as date,
  AVG(compliance_score) as daily_compliance,
  COUNT(DISTINCT audit_id) as total_decisions
FROM `prod.compliance.daily_scores`
GROUP BY date
ORDER BY date DESC

💳 PAYMENT RAILS

Payment Gateway Status

SELECT
  gateway_name,
  status,
  last_successful_ping,
  response_time_ms,
  CASE WHEN status = 'active' AND response_time_ms < 1000 THEN '✅ Healthy'
       WHEN status = 'degraded' THEN '⚠️ Degraded'
       ELSE '🔴 Down' END as health_status
FROM `prod.payments.gateway_status`
WHERE last_ping >= CURRENT_TIMESTAMP() - INTERVAL 5 MINUTE

💬 SOCIAL DM MONITOR

Platform-Specific Messages

SELECT
  timestamp,
  platform,
  message_text,
  ai_confidence_score,
  CASE WHEN ai_responded = TRUE THEN '🤖 AI' ELSE '👤 Human Escalated' END as response_type
FROM `prod.social.unified_inbox`
WHERE timestamp >= CURRENT_TIMESTAMP() - INTERVAL 24 HOUR
ORDER BY timestamp DESC
LIMIT 100

🚗 UBER DISPATCH

Real-time Logistics

SELECT
  driver_id,
  current_status,
  estimated_arrival_minutes,
  on_time_probability,
  CONCAT('https://uber.com/trip/', trip_id) as tracking_link
FROM `prod.logistics.active_deliveries`
WHERE current_status IN ('ASSIGNED', 'PICKED_UP')

📦 Complete Looker Studio Configuration (JSON)

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