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Nova Analytics

Custom Service · Data Warehouses

Stream your Amazon data into your warehouse and BI stack

Your Amazon data, already modeled, in Snowflake, BigQuery, MySQL or your BI tool: 1,014 columns across 20 tables, with hourly refresh.

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nova_share

Build an agent or app on your Amazon data in minutes

1,014 columns across 20 tablesRefreshed every hourEnriched with your costs and taxes

listing_health96 columns, click to open96seller_partner_idvarcharmarketplace_idvarcharskuvarcharchild_asinvarcharis_buyablebooloffers_buy_box_lostboolinventory35 columns, click to open35seller_partner_idvarcharstock_regionvarcharskuvarcharsnapshot_datedatefba_sellablebigintawd_onhandbigintinbound_shipments25 columns, click to open25seller_partner_idvarcharshipment_idvarcharskuvarcharstock_regionvarcharshipment_statusvarcharquantity_receivedbigintproduct_metrics303 columns, click to open303seller_partner_idvarcharmarketplace_idvarcharskuvarcharchild_asinvarcharparent_asinvarcharmetric_datedateunitsbigintproduct_salesfloatnet_profitfloatsqp_weekly31 columns, click to open31marketplace_idvarcharparent_asinvarcharsearch_queryvarcharperiod_startdatesearch_volumebigintyour_purchasesbigintadvertising66 columns, click to open66seller_partner_idvarcharmarketplace_idvarcharcampaign_idbigintkeyword_idbiginttargetingvarcharchild_asinvarcharmetric_datedatespendfloatsalesfloatsqp_monthly33 columns, click to open33marketplace_idvarcharparent_asinvarcharsearch_queryvarcharperiod_startdatesearch_volumebigintyour_purchasesbigintadvertising_search_terms34 columns, click to open34campaign_idbigintkeyword_idbigintsearch_termvarcharspendfloatadvertising_placements31 columns, click to open31campaign_idbigintplacementvarcharmetric_datedatespendfloatadvertising_targets44 columns, click to open44campaign_idbiginttarget_idbiginttargetingvarcharspendfloatadvertising_negative_targets23 columns, click to open23campaign_idbigintad_group_idbigintnegative_idbigintkeyword_textvarcharadvertising_impression_share13 columns, click to open13marketplace_idvarcharkeywordvarcharsnapshot_datedatesearch_term_impression_sharefloatALSO IN NOVA_SHAREThe 12 tables above are 3P. Vendor Central tables open on request for Vendor accounts.advertising_campaigns3Pcost_dictionary3PVendor product metrics1PVendor inventory1PVendor purchase orders1PVendor invoices1PVendor remittances1PVendor forecast1P

Every cost column states its category in its comment, and the cost_dictionary table gives the category of every cost, so an AI agent can read the share without a guide. The six Vendor Central tables open on request for customers with a Vendor account.

Your live Amazon data, in any system you run

Snowflake · BigQuery · MySQL · Looker · Power BI · Your app · Your agent

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SELECT sku,
       SUM(units)      AS units,
       SUM(net_profit) AS net_profit
FROM nova_share.product_metrics
WHERE metric_date >= CURRENT_DATE - 7
GROUP BY sku
ORDER BY net_profit DESC;
Sitruna
"Nova has become a core part of how we run our Amazon agency. Data Share puts clean, structured Amazon data straight into our own stack, so we no longer maintain those pipelines ourselves. The hourly updates mean we spot changes during the day instead of managing accounts on yesterday's data."
Stephen HarrisStephen Harris, SitrunaUK agency managing 100+ Amazon accounts
Read the Sitruna story
01Warehouse-native

Stream Nova into Snowflake, BigQuery, Postgres or MySQL.

Native wire protocols and managed shares. No CSV exports, no brittle ETL job to babysit. Your warehouse sees Nova as just another schema, refreshed every hour.

Nova · streaming layerhourly · schema-stable
Snowflake logoSnowflakeWarehouse
BigQuery logoBigQueryWarehouse
Postgres logoPostgresWarehouse
M
MySQL wireWarehouse
L
Looker StudioBI Tool
P
Power BIBI Tool
Sheets logoSheetsBI Tool
Excel logoExcelBI Tool
02Exhaustive coverage

Every Amazon metric your BI team will ever ask for.

Sales, finance, inventory, ads, catalog, search intelligence. Already modeled, already joinable. Missing a metric? We add it within 48 hours, on demand.

Modeled domains

Live in production
  • Sales & Orders5/6
  • Finance & Profit5/6
  • Inventory & FBA5/6
  • PPC & Advertising4/6
  • Catalog & Listings5/6
  • Customer & Search Intelligence4/6
03Profit to the cent

The most accurate Amazon P&L on the market.

SKU-level, settlement-reconciled, every fee accounted for. The dataset your CFO can finally trust in Looker, Power BI or Tableau.

300+ rules appliedPer SKU · Per day
Gross revenue$128,420.18
−Amazon fees (FBA, referral, storage)$31,847.06
−Ads spend (SP, SB, SD)$24,910.55
−COGS & inbound$40,228.92
=Net profit (to the cent)$31,433.65
04Hourly refresh

Hourly refresh, not daily dumps.

Dashboards reflect Amazon reality within the hour. Competitors deliver every 24 hours. Your team is always a cycle ahead.

Refresh cadence

T-1h · live
  1. 08:00
    synced
  2. 09:00
    synced
  3. 10:00
    synced
  4. 11:00
    synced
  5. 12:00
    synced
  6. 13:00
    synced
  7. 14:00
    now
05Data enrichment

Enrich the data before it hits your warehouse.

Tag products, add COGS, FBM fees and VAT inside Nova. Enrichment flows into every warehouse table, BI dashboard and scheduled report automatically.

Smart tagging on Nova SKUs
COGS FIFO and period-based editor
COGS · FIFOTagsFBM costVAT

Looking to feed Claude via MCP instead?

Build custom Amazon AI Agents on the same data

Same Nova dataset, different surface. Ship Profit Watchdogs, Inventory Planners, PPC Optimizers and Weekly Reviews in Claude in days, not quarters.

See Amazon AI Agents