Capture & Ingest
Records land in CEDX Product Analytics already linked to the canonical customer, employee, or vendor ID.
Product Analytics turns the event stream into answers: activation and retention against the funnel, session replay ranked by friction score, and a live view of who is doing what, about four seconds behind reality.
"Consolidating onto CEDX eliminated four middleware connectors and cut our weekly forecast and close reconciliation fro..."
| Dataset / Semantic Metric | Upstream Estate Source | Data Owner & SLA Tier | Row Volume & Freshness | Lineage Health Score | Query p95 |
|---|---|---|---|---|---|
| fact_canonical_revenue_arrCEDX Product Analytics · Record #1040 | CRM + Quotes + Books + Subscriptions | RevOps & FP&A Canonical | 48.2M Rows · 0.4s Lag | ● 100% Schema Validated | 42ms Query |
| dim_customer_360_healthCEDX Product Analytics · Record #1041 | CRM + Desk + Product Analytics | Customer Success Core | 1.8M Entities · Live | ● Zero Orphan Keys | 28ms Query |
| mart_supply_chain_marginCEDX Product Analytics · Record #1042 | Inventory + Warehouse + Payables | Operations BI Gold Tier | 19.4M Rows · 1.2s Lag | ● Lineage Verified | 64ms Query |
| events_web_and_product_streamCEDX Product Analytics · Record #1043 | Web + Product Analytics SDK | Growth Engineering | 140M Events / Day | ● PII Scrubbed at Ingest | 51ms Query |
The friction leaderboard doesn't average the pain away: the invite modal at 68, with 25 rage clicks and 19 dead clicks across four sessions. That's a fix list, not a metric.
Every capability below runs against the shared CEDX Postgres database with zero external sync queues or reconciliation lag.
Goal mode shows conversion per step: signup completed at 100%, workspace created at 78%, project opened at 56%, task created at 39%. A free-plan D7 retention dip of −3.2pp gets an alert that names the day-2 empty project state as the cause.
Sessions carry rage clicks, dead clicks and errors rolled into a friction score: 98 at the top of the queue. The leaderboard aggregates by screen: invite modal 68, upload dialog 63, timeline view 51.
The Live screen streams the last 30 minutes: 1,284 active users, 9,000 events a minute, page_viewed leading at 412 users. The event feed reads like a log, and says demo stream on itself.
Every figure below is directly inspectable in the running CEDX Product Analytics application workspace with zero synthetic projections.
Click any screen below to inspect how CEDX Product Analytics moves from initial intake to verified cross-estate completion.
DAU 18.4K, MAU 42.1K, 2.1M events a day, D7 retention 34.6%, activation 28.4%, core feature use 41%. Product health reads 88 with schema drift, dead events, stale flags and SDK lag itemized.
Stop paying Fivetran, dbt, Snowflake, and Tableau just to re-join the customer and invoice tables that your SaaS vendors split apart.
Records land in CEDX Product Analytics already linked to the canonical customer, employee, or vendor ID.
Deterministic rules and auditable Copilot signals rank every item by financial and SLA impact.
Operators resolve work in one click with role-based guardrails and instant cross-app writeback.
Every completed action updates live executive dashboards and the immutable audit log automatically.
Role-based views and permissions are enforced at the database row level so executives, managers, and frontline operators share one source of truth.
Owns activation: watches the 28.4% signup-to-project rate, the step where it leaks, and the alert when a rollout changes the shape.
Reads replay before roadmap: the invite modal's 68 friction score and 25 rage clicks outrank opinion in the planning meeting.
Keeps the event schema honest (3 drift items, 5 dead events, 4 stale flags) so downstream numbers mean what they say.
CEDX Product Analytics is not an isolated point tool. It reads and writes the exact same customer, ledger, and identity records as the rest of the CEDX software estate.
Product events feed the governed metric layer; the activation rate here is a certified metric there.
Usage on embedded analytics is itself product telemetry. The two consoles read each other's numbers.
Events reach the warehouse through the same pipelines Sync meters: ingest lag here, freshness SLA there.
Alert-worthy movements (retention dips, friction spikes) route to the people who own the screen through the estate's notification spine.
"Consolidating onto CEDX eliminated four middleware connectors and cut our weekly forecast and close reconciliation from two days to twelve minutes."
"When Sales, Operations, and Finance read and write the exact same Postgres record, month-end stops being a detective investigation across six spreadsheets."
"Our operators actually enjoy opening the workspace. Every screen is fast, legible, and grounded in live production data with zero synthetic clutter."
Drag the seat slider to compare your current stitched stack (Snowflake + Fivetran + Tableau Enterprise + Amplitude + Looker) against running CEDX Product Analytics natively on the unified CEDX estate.
Explore the live CEDX Product Analytics workspace on canonical demo data at /app/product-analytics, or book a 30-minute architecture session to map your first entity rollout.
Instant browser access to CEDX Product Analytics pre-loaded with canonical demo records and connected across the 132-application CEDX estate.