Features
Reporting and Analytics - Clearpoint Systems Docs
Learn about Clearpoint Systems Technology's reporting capabilities including audit-ready reports, compliance documentation, and operational analytics.
Clearpoint Systems Technology provides comprehensive reporting and analytics capabilities for operational visibility and compliance requirements. This guide covers report generation, dashboards, and audit documentation.
Reporting Architecture
Clearpoint generates reports through a multi-layered architecture:
┌─────────────────────────────────────┐
│ Data Sources │
│ ┌─────────┐ ┌─────────┐ │
│ │Integrations│ │ Workflows │ │
│ └─────────┘ └─────────┘ │
└─────────────────────────────────────┘
↓ Data Collection
┌─────────────────────────────────────┐
│ Report Engine │
│ ┌─────────┐ ┌─────────┐ │
│ │Standard │ │Custom │ │
│ │Reports │ │Reports │ │
│ └─────────┘ └─────────┘ │
└─────────────────────────────────────┘
↓ Report Generation
┌─────────────────────────────────────┐
│ Distribution │
│ ┌─────────┐ ┌─────────┐ │
│ │Dashboard │ │Export │ │
│ │Display │ │Delivery │ │
│ └─────────┘ └─────────┘ │
└─────────────────────────────────────┘
Standard Reports
Operational Reports
Pre-built reports for common operational needs:
standard_reports:
integration_status:
name: "System Integration Status"
description: "Current status of all system integrations"
schedule: "daily"
sections:
- "Connection Health"
- "Sync Performance"
- "Error Summary"
- "Data Volume"
format: "pdf"
workflow_performance:
name: "Workflow Performance Metrics"
description: "Performance metrics for all active workflows"
schedule: "weekly"
sections:
- "Execution Times"
- "Success Rates"
- "Error Analysis"
- "Throughput Metrics"
format: "excel"
data_quality:
name: "Data Quality Assessment"
description: "Data quality metrics and validation results"
schedule: "monthly"
sections:
- "Completeness Metrics"
- "Accuracy Scores"
- "Consistency Checks"
- "Validation Results"
format: "pdf"
Compliance Reports
Audit-ready reports for regulatory compliance:
compliance_reports:
audit_trail:
name: "System Audit Trail"
description: "Complete audit trail of system activities"
schedule: "monthly"
sections:
- "User Activity Log"
- "Configuration Changes"
- "Data Access Events"
- "System Modifications"
format: "pdf"
retention: "7_years"
data_lineage:
name: "Data Lineage Report"
description: "Complete data movement and transformation tracking"
schedule: "monthly"
sections:
- "Source to Destination Mapping"
- "Transformation Rules Applied"
- "Data Flow Timeline"
- "Exception Handling"
format: "excel"
retention: "7_years"
access_control:
name: "Access Control Review"
description: "User access and permissions review"
schedule: "quarterly"
sections:
- "User Access Matrix"
- "Permission Changes"
- "Role Assignments"
- "Authentication Events"
format: "pdf"
retention: "3_years"
Custom Reports
Report Builder
Create custom reports using the report builder:
custom_reports:
financial_reconciliation:
name: "Monthly Financial Reconciliation"
description: "Custom financial data reconciliation report"
data_sources:
- "erp.transactions"
- "accounting.ledger"
- "bank.statements"
transformations:
- name: "currency_conversion"
source: "multi_currency"
target: "usd"
- name: "date_alignment"
source: "various_formats"
target: "iso_date"
calculations:
- name: "variance_analysis"
formula: "(actual - budget) / budget * 100"
- name: "reconciliation_rate"
formula: "matched_records / total_records * 100"
output:
format: "excel"
charts: ["variance_trend", "reconciliation_rate"]
schedule: "monthly"
recipients: ["finance@company.com", "controller@company.com"]
Advanced Reporting
Use SQL-based reporting for complex requirements:
-- Custom SQL Report Example
SELECT
c.customer_id,
c.name,
c.email,
COUNT(o.order_id) as total_orders,
SUM(o.amount) as total_revenue,
AVG(o.amount) as avg_order_value
FROM customers c
LEFT JOIN orders o ON c.customer_id = o.customer_id
WHERE o.order_date >= '2024-01-01'
AND o.order_date <= '2024-01-31'
GROUP BY c.customer_id, c.name, c.email
HAVING COUNT(o.order_id) > 0
ORDER BY total_revenue DESC
Dashboards
Operational Dashboard
Real-time operational visibility:
operational_dashboard:
name: "Operations Command Center"
widgets:
- type: "metric"
title: "Active Integrations"
query: "SELECT COUNT(*) FROM integrations WHERE status = 'active'"
refresh: "5m"
- type: "chart"
title: "Workflow Success Rate"
query: "SELECT DATE(created_at), success_rate FROM workflow_metrics WHERE DATE(created_at) >= CURDATE() - 7"
chart_type: "line"
refresh: "15m"
- type: "table"
title: "Recent Errors"
query: "SELECT error_message, timestamp, integration_name FROM error_log ORDER BY timestamp DESC LIMIT 10"
refresh: "1m"
- type: "gauge"
title: "Data Quality Score"
query: "SELECT AVG(quality_score) FROM data_quality_metrics WHERE DATE(timestamp) = CURDATE()"
refresh: "30m"
Compliance Dashboard
Compliance-focused monitoring:
compliance_dashboard:
name: "Compliance Monitoring"
widgets:
- type: "metric"
title: "Audit Trail Completeness"
query: "SELECT completeness_percentage FROM audit_compliance WHERE DATE(date) = CURDATE()"
refresh: "1h"
- type: "chart"
title: "Access Control Violations"
query: "SELECT DATE(timestamp), COUNT(*) FROM access_violations WHERE DATE(timestamp) >= CURDATE() - 30"
chart_type: "bar"
refresh: "1h"
- type: "table"
title: "Pending Compliance Actions"
query: "SELECT action_type, due_date, assigned_to FROM compliance_tasks WHERE status = 'pending'"
refresh: "15m"
Data Export
Export Formats
Export reports in multiple formats:
export_options:
pdf:
features: ["password_protection", "digital_signature", "watermark"]
options:
page_size: "A4"
orientation: "portrait"
margins: "normal"
excel:
features: ["formulas", "charts", "pivot_tables"]
options:
include_raw_data: true
auto_filter: true
freeze_header: true
csv:
features: ["delimiter_selection", "encoding_selection"]
options:
delimiter: ","
encoding: "utf-8"
include_headers: true
json:
features: ["schema_validation", "nested_objects"]
options:
pretty_print: true
include_metadata: true
Scheduled Exports
Automate report delivery:
scheduled_exports:
monthly_financial:
report: "financial_reconciliation"
schedule: "0 6 1 * *" # 6 AM on 1st of month
format: "excel"
delivery:
- type: "email"
recipients: ["finance@company.com", "cfo@company.com"]
subject: "Monthly Financial Reconciliation Report"
- type: "sftp"
server: "sftp.company.com"
path: "/reports/finance/"
filename: "financial_reconciliation_{YYYYMMDD}.xlsx"
weekly_operations:
report: "operational_summary"
schedule: "0 8 * * 1" # 8 AM every Monday
format: "pdf"
delivery:
- type: "email"
recipients: ["ops@company.com", "management@company.com"]
subject: "Weekly Operations Summary"
- type: "api"
endpoint: "https://api.company.com/reports"
authentication: "bearer_token"
Analytics
Operational Analytics
Analyze operational performance:
operational_analytics:
integration_performance:
metrics:
- "sync_success_rate"
- "average_sync_time"
- "error_rate"
- "data_volume"
dimensions:
- "integration_name"
- "time_period"
- "data_source"
visualizations:
- "Success Rate Trend"
- "Sync Time Distribution"
- "Error Pattern Analysis"
workflow_efficiency:
metrics:
- "execution_time"
- "throughput"
- "resource_utilization"
- "bottleneck_identification"
dimensions:
- "workflow_name"
- "step_name"
- "time_of_day"
visualizations:
- "Workflow Performance Heatmap"
- "Resource Utilization Chart"
- "Bottleneck Analysis"
Business Intelligence
Business-focused analytics:
business_intelligence:
customer_insights:
metrics:
- "customer_lifetime_value"
- "retention_rate"
- "acquisition_cost"
- "profitability_analysis"
data_sources:
- "crm.customers"
- "erp.transactions"
- "marketing.campaigns"
visualizations:
- "Customer Segmentation"
- "Revenue Attribution"
- "Churn Prediction"
operational_efficiency:
metrics:
- "process_cycle_time"
- "resource_productivity"
- "cost_per_transaction"
- "automation_roi"
data_sources:
- "workflow_metrics"
- "financial_data"
- "hr_data"
visualizations:
- "Process Efficiency Dashboard"
- "ROI Analysis"
- "Cost Optimization"
Alerting
Report Alerts
Configure alerts for report anomalies:
report_alerts:
data_quality_degradation:
condition: "data_quality_score < 90"
severity: "high"
notification:
- type: "email"
recipients: ["data_steward@company.com"]
- type: "slack"
channel: "#data-quality"
message: "Data quality score has dropped to {current_score}%"
compliance_violations:
condition: "access_violations > 5"
severity: "critical"
notification:
- type: "email"
recipients: ["compliance@company.com", "security@company.com"]
- type: "pager"
escalation: "immediate"
message: "{count} access violations detected in the last hour"
operational_issues:
condition: "integration_success_rate < 95"
severity: "medium"
notification:
- type: "email"
recipients: ["ops@company.com"]
- type: "dashboard"
display: "operations_command_center"
message: "Integration success rate is {current_rate}%"
Best Practices
- Define report requirements — Clearly define what each report should measure
- Validate data sources — Ensure data accuracy before reporting
- Schedule appropriately — Balance timeliness with system performance
- Secure sensitive data — Apply appropriate access controls to reports
- Document metrics — Maintain clear documentation of calculations and definitions
- Test thoroughly — Validate reports before production deployment
Troubleshooting
Report Generation Failures
Check report generation status:
GET /api/v1/reports/status?report_id=financial_reconciliation&date=2024-01-15
Data Accuracy Issues
Validate report data sources:
GET /api/v1/reports/validate?report_id=customer_insights&date_range=2024-01-01:2024-01-31
Performance Issues
Monitor report generation performance:
GET /api/v1/reports/performance?component=report_engine&last=1h