Synthetic operations intelligence

Operations Intelligence Command Center

Workflow demand, backlog aging, channel performance and friction signals turned into a management dashboard for deciding what to fix first.

Product-agnostic BI CSV → SQL → JSON → HTML No external assets

Operating Performance

Bars show request demand. Gold line shows SLA hit rate. Dashed line is the target threshold.

Decision Brief

Deterministic actions ranked from SQL metrics.

    Department × Workflow Friction Heatmap

    Score blends risk, SLA misses, rework and value-at-risk.

    Risk Pareto

    Where the largest share of value-at-risk is concentrated.

    Manual vs Form/API Outcomes

    Channel comparison across cycle time, SLA, rework and open backlog.

    Channel Requests Avg cycle SLA Rework Risk

    Backlog And Aging

    Open items, overdue work and aging status by department.

    At-Risk Follow-Up Queue

    Ranked by risk score, value-at-risk and overdue age.

    Request Severity Department Workflow Stage Reason Age Overdue Risk Value-at-risk

    Synthetic data only. All metrics are generated from data/synthetic_operations_events.csv through SQLite queries in sql/. This is product-agnostic BI, not a Power BI report.