guest@graphnethub:~$ ./ingest --src=erp,crm,ads --clean
[ OK ] 1,284,992 rows normalized in 4.2s
[ OK ] schema drift guards: 0 conflicts
guest@graphnethub:~$ ./forecast --horizon=90d --metric=revenue
[ OK ] projected delta +18.4% · confidence 0.93
guest@graphnethub:~$
GraphNetHub casts operational noise into interactive decision engines, automated ETL pipelines, and predictive metric dashboards — engineered for operators who refuse to fly blind.
1.2B
rows / month
340+
dashboards shipped
99.98%
pipeline uptime
<240ms
query p95
"cluster": "cannes-eu-1",
"etl_jobs_running": 24,
"alerts_open": 0,
"sla_window": "< 2 business hours"
$ cat /etc/graphnethub/services.manifest
Nine buildable units, each priced and scheduled like a deploy target. Every block returns a fixed quote window, a named deliverable, and an operator handover.
Boardroom-grade dashboards with drill-downs, role-based views, and alert thresholds wired straight into your live warehouse.
"price_usd": 1,200
"turnaround": "10 business days"
"support": "30d post-launch"
Scheduled extraction, normalization, and load jobs across ERPs, ad platforms, and SaaS APIs — with retries and schema-drift guards baked in.
"price_usd": 1,850
"turnaround": "15 business days"
"support": "60d pipeline warranty"
Time-series and regression models that project revenue, churn, and inventory deltas with honest confidence intervals.
"price_usd": 1,450
"turnaround": "12 business days"
"support": "1 tuning round included"
Automated weekly KPI digests delivered to leadership inboxes, generated from one governed source of truth — no more spreadsheet archaeology.
"price_usd": 950
"turnaround": "8 business days"
"support": "30d tuning window"
Dimensional star schemas, slowly-changing dimensions, and indexing strategy tuned for sub-second analytical queries at scale.
"price_usd": 1,600
"turnaround": "14 business days"
"support": "query audit included"
Power BI, Looker Studio, or Metabase wired to your warehouse with governed datasets, refresh schedules, and access boundaries.
"price_usd": 750
"turnaround": "6 business days"
"support": "14d handover support"
Event streams over Kafka or managed queues feeding live operational monitors — floor, fleet, or boardroom, whatever moves your numbers.
"price_usd": 2,100
"turnaround": "18 business days"
"support": "60d monitored rollout"
Bi-directional sync between Salesforce, HubSpot, and your ERP so commercial forecasts and financial ledgers never diverge.
"price_usd": 1,100
"turnaround": "9 business days"
"support": "30d sync monitoring"
Tagging review, duplicate-event purge, and a prioritized remediation backlog for the analytics stack you already own.
"price_usd": 450
"turnaround": "5 business days"
"support": "action plan included"
$ history --pipeline
Every engagement runs through the same auditable build log. You see each commit, each review gate, and each rollback window.
01 · connect
Credentials mapped, schemas profiled, and row counts reconciled against source systems.
duration: 2–3 days
02 · model
Star schemas, transformation steps, and validation tests codified into versioned SQL.
duration: 4–6 days
03 · build
Dashboards, forecasts, and alert rules assembled against agreed KPI definitions.
duration: 5–9 days
04 · ship
Recorded walkthrough, runbook delivery, and a monitored rollout window with rollback ready.
duration: 2 days
$ tail -f /var/log/field_reports.log
[2026-08-14 09:12:44] COO · logistics_network
“Our Monday reporting pack used to take a full analyst day. It now arrives at 07:00 with variance flags already attached.”
exec: kpi-reporting + etl-pipeline
[2026-07-02 16:48:10] CFO · saas_scaleup
“The 90-day forecast held within 3% across two quarters. Budget conversations finally run on numbers everyone trusts.”
exec: predictive-metrics
[2026-05-21 11:03:27] HEAD OF OPS · retail_group
“Schema drift used to silent-break our dashboards every promo cycle. The guards caught six breaks last quarter before we noticed.”
exec: realtime-telemetry
./dispatch --scope_request
Send your KPI list and source systems — you get a fixed quote, a delivery calendar, and a named engineer inside 2 business hours.