woodfrog
Two minutes · six chapters · one platform
The data pillar.
From entangled to engineered. The foundation everything else depends on.
For
CDO / VP Data
Series B+ · 200–5000 ppl
Three answers to one revenue question. Pipelines brittle. AI demos that never ship.
For
Head of Engineering
BFSI · Logistics · Retail · SaaS
Schema drift caught at 3am. Audit pulls eating 20% of the team. Lineage is a wiki.
For
CFO / Compliance lead
Regulated · multi-region · multi-source
Numbers debated in board meetings. PII exposure unknown. Audit prep = a quarter.
If your stack hasSnowflakeDatabricksBigQueryDBTAirflowLooker / TableauSalesforceClaude / OpenAI
Real data scrubbed · same numbers our customers see Monday morning.
01Before
woodfrogPlatform
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Catalog47
Pipelines412
Lineage
Governance
Quality
Decisions
AI Agents7
AP
Ananta P.
CDO · ACME
Data Catalog · 47 sources
Find the metric you trust
|
⌘KPopular metrics
orders.daily
Sales · finance
4.2k/wk
pipeline.value
CRO ops
1.8k/wk
churn.cohort
CS · product
912/wk
cac.blended
Growth
780/wk
arpu.segment
Finance
640/wk
nps.weekly
CS
420/wk
0:00 / 2:00
Data Tour
Pipeline, catalog, quality, governance.
The unglamorous layer that decides whether everything above it is trustable.
Source connections, medallion architecture, lineage, data quality SLAs, masking and audit readiness. The work that turns raw events into datasets a CFO and a regulator both trust.
Services under this pillar