For ongoing and recurring analytics. We engineer a structured data pipeline that merges all your platforms into one central BigQuery database, giving you reliable, automated reporting without manual exports.
This package is an upgrade, not a replacement. It includes 100% of the Basic Setup, plus advanced engineering components.
How data moves from disparate platforms into a unified BigQuery database.
The core engineering components that transform raw data from multiple platforms into a unified, analysis-ready database.
Purpose: Create a Single Source of Truth by connecting data from multiple business platforms.
What We Configure: SQL and Python logic to join data from platforms such as Shopify, WooCommerce, BigCommerce, GA4, Meta Ads, Google Ads, and other relevant sources using unified identifiers such as Order ID, Customer ID, Product ID, User ID, and Date.
Why It Matters: Without proper merge logic, your business data remains in separate silos. We connect the relevant data so you can analyze relationships such as:
Purpose: Persist your data in the cloud data warehouse.
What We Configure: Automated scripts that load cleaned and merged data into structured BigQuery tables.
Why It Matters: Moves your processed data into a permanent, queryable database structure, making it ready for reliable analysis, reporting, dashboards, and future data workflows.
Purpose: Connect your centralized business data directly to your dashboard so your reports stay updated without repeated manual uploads.
What We Configure: We connect your cloud data warehouse or database, such as BigQuery, Snowflake, Amazon Redshift, or other supported data environments, to reporting platforms such as Power BI, Looker Studio, or other compatible BI tools.
Example Flow:
Example dashboard metrics:
Why It Matters: Instead of exporting CSV files every time, your dashboard reads directly from your connected data warehouse. This creates a centralized, connected, and reliable reporting workflow.
Example: A store's daily sales data is loaded into the cloud database. Power BI or Looker Studio automatically reads that data and updates dashboards showing revenue, profit, product performance, customer analytics, and marketing performance.
| Product | Units | Revenue | Status |
|---|---|---|---|
| Vitamin C Serum | 420 | $12.6K | Active |
| SPF 50 Sunscreen | 280 | $8.4K | Active |
| Retinol Cream | 150 | $4.5K | Watch |
Purpose: Protect your business data and API credentials from unauthorized access.
What We Configure: API keys, access tokens, and other sensitive credentials are securely stored using appropriate methods such as secure environment variables or supported secret management systems. Credentials are never hardcoded directly into scripts.
Why It Matters: Secure credential handling reduces the risk of accidental exposure, unauthorized access, and compromised data connections while keeping your connected platforms protected.
A reliable data environment built to handle growing volumes of historical, customer, product, marketing, and operational data.
No more repeatedly exporting, cleaning, and combining spreadsheets to prepare reports and analysis.
Your centralized data stays connected to dashboards and analysis tools, making reporting more consistent and reliable.
A strong data foundation that can support additional platforms, advanced analytics, automation, AI, and machine learning as your business grows.
Your API keys, access tokens, and other sensitive credentials are protected instead of being exposed inside scripts, reducing the risk of unauthorized access and compromised data connections.
Businesses investing in deeper growth analysis and data-driven decision-making.
Businesses with consistent sales volume and enough customer data to support deeper growth analysis.
Businesses ready to move beyond basic reporting and identify the biggest opportunities for revenue and profit growth.
Brands selling across multiple channels that need a clearer view of customers, products, marketing, and revenue performance.
Teams spending too much time exporting spreadsheets, combining data, and manually preparing reports instead of focusing on growth.
A fully structured cloud data warehouse built for centralized business data.
One unified dataset combining relevant business metrics from your connected platforms.
A direct data connection ready for Power BI, Looker Studio, or other compatible reporting tools.
Schema definitions, data structure details, and pipeline architecture documentation.
Configured data workflows for reliable extraction, processing, merging, and loading of your business data.
Everything you need to know.
One-time fee · 5–7 Business Days