Integration · Data Platform

Ward +
Snowflake

Your Snowflake data holds answers your team doesn’t have time to extract. Ward queries your Snowflake data warehouse directly. If your retail data lives in Snowflake, Ward reads it without moving or copying anything.

What’s hiding in your
Snowflake data.

The problems are already in Snowflake. Ward finds them and explains why.

Time to Insight
Zero-copy, zero-ETL
Queries run against existing warehouse tables directly.
Forecast Accuracy
Enrichment joins added
Weather, events, and demographics joined to Snowflake tables.
Data Utilization
Dormant tables activated
Unused warehouse data brought into cross-domain analysis.
Anomaly Detection Speed
Continuous monitoring
Deviations caught days before scheduled reports surface them.

Snowflake data, married to
everything else.

Snowflake is one signal. Ward combines it with weather, events, competitor pricing, and more.

app.getward.ai Live demo
Acme Retail @Merchandising: VP Analyst claude-sonnet default
A

Chat

Ask anything. Ward routes to the right agent and returns cited answers.

Why did Store 37 miss target last week?
You · 9:42 AM
Schema Scout · routed to Merchandising Agent

I pulled Store 37’s last 28 days against the chain baseline. Two root causes, both compounding.

SignalFinding
labor_efficiencyRev/labor-hour −22% vs. cluster, staffing mismatch at 11a–1p peak
inventory.freshFresh fill 83%, backroom replenishment lag at 2–4p
promo.liftBOGO 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.

8 parallel queries 3 sources cited confidence 0.92
Show me how to fix the staffing mismatch.
You · 9:43 AM
Labor Agent · drafting schedule diff
Querying labor_scheduling
Ask anything, Ward routes to the right agent. Cmd+K

Dashboards

Pinned views built from saved data-lake queries.

Revenue vs. forecast +4.2% WoW
Gross margin % −3.2pp
Fill rate, fresh 83%
Shrink, West region +0.8pp

Sources

Connect external systems to the data lake.

NameTypeLast sync
sap_pos_transactionsimport2m ago
sap_inventory_shrinkageimport2m ago
sap_labor_schedulingimport14m ago
retail_inventory_weeklyimport1h ago
retail_google_ads_dailyimport1h ago
retail_meta_ads_dailyimport1h ago
retail_ga4_website_dailyimport1h ago

Policies

Browse and manage Cedar access policies for your tenant.

TLS 1.3 AES-256 Read-only SOC 2 II
Policy IDEffectResources
merch-read-defaultpermitModel::*
finance-read-shrinkagepermitModel::"inventory_shrinkage"
vendor-blockedforbidModel::"labor_*"
region-west-onlypermitTenant::"acme"
Ward + Snowflake, live analysis against your data.
Data Platform · Primary
Snowflake
Any table or view in your Snowflake account · Cross-database joins · Historical data at any depth
BigQuery
Data Platform
Ward
Data Lake
Enrichment Data
Any Snowflake table
Weather & events
Demographics
Competitor data
Custom feeds
Snowflake (primary)
Data Platform peers
Enrichment data
Real-time data flow

Data Ward reads
from Snowflake.

Any table or view in your Snowflake account Cross-database joins Historical data at any depth

Ward connects via Snowflake SQL API with key-pair authentication. Read-only warehouse. Your data never leaves Snowflake.

01 / Connect
Read Snowflake

Read-only access to Snowflake. No changes to your configuration.

02 / Combine
Join the lake

Snowflake data married to weather, events, and competitor pricing.

03 / Detect
Find the why

Anomalies surfaced continuously, each with a root cause attached.

04 / Deliver
Morning brief

Findings land in the morning brief before your team logs in.

Your Snowflake data holds answers your team doesn’t have time to extract. Ward reads it continuously and explains why.

Your Snowflake today
Problems hide in Snowflake until someone has time to look.
  • ×Anomalies found manually, if at all
  • ×Dashboards stop at what happened
  • ×No one watching between scheduled reviews
With Ward + Snowflake
Ward reads Snowflake continuously. Findings arrive with root causes.
  • 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.

Your Snowflake 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.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info