For the Chief Data Officer
Your team is the bottleneck. Every business question waits in a queue.
The platform classifies, governs, and joins on its own. Your team stops being the ticketing layer and starts being the strategy layer — exactly the role you hired them for.
What’s achievable — measured against your real workload
5×
questions answered per analyst — target
90%
of catalog auto-classified — target
Always on
the ontology learns your business continuously — an employee, not a project
0
tickets queued waiting for a join — target
Outcomes
What stops being your problem.
5× increase in business questions answered per analyst
Self-service NL-to-SQL, with access checked before the query runs
Tribal knowledge captured automatically, surfaced in context
Lineage that survives migration, regulator review, and team turnover
Cross-team data products published in days, not quarters
A week in your role on Eisberg
The agenda the platform writes for you.
- 01Autonomous discovery surface joins, drift, and quality issues before standup
- 02Every dashboard's lineage is queryable — no more orphaned views
- 03Tribal rules captured from analyst Slack threads enter the knowledge graph
- 04Quarterly reviews focus on outcomes, not ticket queue depth
Bring Eisberg to your chief data officer agenda.
A 30-minute demo against a sample of your real workload. No SDR funnel. Real engineer in the room.