Integration Services

Data Pipelines & Cloud BI

All your channel, ERP and ad data in one warehouse, ready to query.

We build ETL/ELT pipelines that pull sales, fees, inventory and accounting data from every channel and your ERP into a cloud data warehouse. Clean, modeled tables feed Power BI, Tableau or Looker dashboards that refresh on schedule. Daily reporting that used to take four hours now takes under 30 minutes.

What's included
<30 minDaily reporting, down from 4 hours

The shift

From manual workarounds to automated by default

Before Audaxim AI

  • Hours spent every morning exporting and merging CSVs
  • Every channel reports sales and fees differently
  • Dashboards that break when a source file changes
  • No single view of profitability across channels
  • Analysts waiting on data instead of analyzing it

After Audaxim AI

  • Daily reporting in under 30 minutes
  • Normalized sales and fee data across all channels
  • Pipelines that are monitored and self-recovering
  • Channel, SKU and region profitability in one dashboard
  • Analysts working from a governed, trusted dataset

Capabilities

Everything included in Data Pipelines

Incremental ETL/ELT loads

Pipelines load only new and changed records using watermarks and change timestamps, keeping warehouse costs and refresh times low.

Marketplace report ingestion

Amazon SP-API reports (orders, settlements, FBA inventory, advertising), Walmart and Shopify data are requested, parsed and loaded automatically.

NetSuite extraction

SuiteQL and saved-search extracts bring GL, item, inventory and transaction data into the warehouse alongside channel data.

Cloud warehouse modeling

Staging, core and reporting layers in Snowflake, BigQuery, Redshift or Azure Synapse, with dimensional models for orders, SKUs, channels and dates.

BI dashboards

Power BI, Tableau or Looker dashboards for sales, margin, inventory health and advertising, with row-level security by team or brand.

Pipeline monitoring

Freshness checks, row-count validation and failure alerts run 24/7, so you know about a data issue before a stakeholder does.

How we deliver

A clear path from audit to always-on

  1. 01

    Reporting audit

    We inventory your current reports, data sources and manual steps, and prioritize the metrics leadership actually uses.

  2. 02

    Data model design

    We design the warehouse schema, business definitions and refresh schedule so every dashboard uses the same logic.

  3. 03

    Pipeline & dashboard build

    Pipelines and dashboards are built and validated against your existing reports until the numbers tie out.

  4. 04

    Launch & monitoring

    We hand over dashboards, train your team, and monitor pipeline health and data freshness around the clock.

FAQ

Data Pipelines questions, answered

We do not have a data warehouse yet. Can you set one up?

Yes. We help you choose between Snowflake, BigQuery, Redshift or Azure based on your existing cloud, BI tool and budget, then provision and configure it as part of the project.

Can we keep our current BI tool?

In most cases, yes. We work with Power BI, Tableau and Looker, and model the warehouse so any of them can connect to it.

How fresh will the data be?

Refresh frequency depends on the source. Order and inventory data can refresh several times a day, while some marketplace reports, such as settlements, are only published on the marketplace's own schedule.

Who owns the data and the pipelines?

You do. The warehouse lives in your cloud account, and pipeline code and data models are documented and handed over.

Ready when you are

Ready to automate data pipelines?

Book a free, no-pressure walkthrough with an integration specialist. Bring your channels, your ERP and your biggest bottleneck.

Email our team
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