-- Executive: sales today SELECT toDate(ts) AS d, sum(amount) AS sales_amount FROM analytics_1c.documents WHERE doc_type = 'Реализация' GROUP BY d ORDER BY d; -- Executive: overdue receivables SELECT organization, sum(amount) AS overdue_receivables FROM analytics_1c.documents WHERE status = 'overdue' GROUP BY organization ORDER BY overdue_receivables DESC; -- Operations: host health SELECT ts, host, cpu_pct, ram_pct, disk_latency_ms, disk_free_gb FROM analytics_1c.host_events ORDER BY ts DESC; -- Audit: after-hours activity SELECT ts, infobase, user, event_name, message FROM analytics_1c.reglog_events WHERE event_name ILIKE '%login%' AND toHour(ts) NOT BETWEEN 8 AND 20 ORDER BY ts DESC; -- Detections: top rules SELECT rule_title, severity, count() AS detections_total, sum(score) AS score_total FROM analytics_1c.detections GROUP BY rule_title, severity ORDER BY detections_total DESC; -- Investigation: entity timeline SELECT ts, entity_type, entity_id, actor, source, event_type, severity, score, summary FROM analytics_1c.entity_timeline WHERE entity_type = {entity_type:String} AND entity_id = {entity_id:String} ORDER BY ts; -- Financial: reporting readiness SELECT readiness_status, last_event_at, last_ledger_event_at, business_events_total, ledger_events_total, account_lines_total, postings_table_rows FROM analytics_1c.v_financial_reporting_readiness; -- Financial: daily amount split between ledger and proxy SELECT toDateTime(d) AS time, source_kind, sum(amount_total) AS value FROM analytics_1c.v_financial_daily WHERE d >= today() - 30 GROUP BY time, source_kind ORDER BY time, source_kind; -- Financial: top companies by current turnover/proxy SELECT infobase, company_name, readiness_status, ledger_amount_30d, proxy_amount_30d, risky_changes_30d, last_financial_day FROM analytics_1c.v_financial_company_current ORDER BY ledger_amount_30d DESC, proxy_amount_30d DESC LIMIT 20;