Ward +
BigQuery
Your BigQuery data holds answers your team doesn’t have time to extract. Ward queries BigQuery using your existing datasets. GA4 exports, POS data, CRM exports. Ward reads it where it lives.
What’s hiding in your
BigQuery data.
The problems are already in BigQuery. Ward finds them and explains why.
BigQuery data, married to
everything else.
BigQuery is one signal. Ward combines it with weather, events, competitor pricing, and more.
Chat
Ask anything. Ward routes to the right agent and returns cited answers.
I pulled Store 37’s last 28 days against the chain baseline. Two root causes, both compounding.
| Signal | Finding |
|---|---|
labor_efficiency | Rev/labor-hour −22% vs. cluster, staffing mismatch at 11a–1p peak |
inventory.fresh | Fresh fill 83%, backroom replenishment lag at 2–4p |
promo.lift | BOGO crackers cannibalized Brand Y by 28%, net category +6% |
Recommend: re-baseline Store 37 schedule against true peak, raise replen window to 1p, and review the BOGO before next cycle.
labor_scheduling…
Dashboards
Pinned views built from saved data-lake queries.
Sources
Connect external systems to the data lake.
| Name | Type | Last sync |
|---|---|---|
sap_pos_transactions | import | 2m ago |
sap_inventory_shrinkage | import | 2m ago |
sap_labor_scheduling | import | 14m ago |
retail_inventory_weekly | import | 1h ago |
retail_google_ads_daily | import | 1h ago |
retail_meta_ads_daily | import | 1h ago |
retail_ga4_website_daily | import | 1h ago |
Policies
Browse and manage Cedar access policies for your tenant.
| Policy ID | Effect | Resources |
|---|---|---|
merch-read-default | permit | Model::* |
finance-read-shrinkage | permit | Model::"inventory_shrinkage" |
vendor-blocked | forbid | Model::"labor_*" |
region-west-only | permit | Tenant::"acme" |
Data Ward reads
from BigQuery.
Service account with BigQuery Data Viewer role. Ward runs read-only SQL queries on your schedule.
Read-only access to BigQuery. No changes to your configuration.
BigQuery data married to weather, events, and competitor pricing.
Anomalies surfaced continuously, each with a root cause attached.
Findings land in the morning brief before your team logs in.
Your BigQuery data holds answers your team doesn’t have time to extract. Ward reads it continuously and explains why.
- ×Anomalies found manually, if at all
- ×Dashboards stop at what happened
- ×No one watching between scheduled reviews
- ✓Anomalies detected and explained automatically
- ✓Every alert carries its root cause
- ✓Morning brief before your team logs in
More Data Platform
integrations.
Ward connects to the leading data platform platforms.
BigQuery data powers
every insight card.
BigQuery data powers every insight card type.
Ward + BigQuery
for your team.
Playbooks that run on BigQuery.
Ward reads and writes Google BigQuery as the system of record, no ETL.
Finance
Your BigQuery data holds answers nobody has time to find.
Ward reads it continuously and delivers what it finds. With root causes.
Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly
Find out what your data has been hiding.
Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.