Before any analysis can begin, your data needs to be extracted and cleaned. This one-time infrastructure setup connects your core platforms and structures your data for a single, reliable analytics engagement. No manual exports, no spreadsheet mess.
A simple, structured process to connect your business data, organize it properly, and prepare it for reliable analysis.
We review your current platforms and identify which data sources are needed.
We confirm that the required data can be accessed safely from each platform.
We create the required cloud database environment where your business data can be stored securely.
We securely connect platforms such as Shopify, GA4, and advertising accounts to the data environment.
We set up the required data flow so information from your connected platforms can be collected and organized for analysis.
We remove errors, standardize the data, and verify that the numbers are accurate and complete.
You receive a clean, organized dataset that is ready for audits, dashboards, reporting, and future analysis.
How data moves from disparate platforms into a unified, analysis-ready state.
Every component of the Basic Setup is designed to create a reliable foundation for your business data and future analysis.
Purpose: Create the central home for your business data.
What We Configure: A Google Cloud Platform (GCP) project, billing configuration, and BigQuery database.
Why It Matters: Provides a secure and scalable cloud data warehouse for your business data. Instead of relying on local files or scattered spreadsheets, your data is stored in a structured cloud environment.
Purpose: Establish a secure connection to your business data.
What We Configure: Secure API authentication, access credentials, and the required permission scopes for each connected platform.
Why It Matters: Allows us to securely retrieve relevant orders, customers, products, analytics, or other required business data without unnecessarily exposing or modifying your platform.
Purpose: Automate the extraction of your business data.
What We Configure: Python-based extraction scripts that securely pull required data from your connected platforms on demand. Includes 2–3 platforms.
Why It Matters: Replaces repetitive manual CSV exports with a reproducible data pipeline, improving consistency, reliability, and efficiency.
Purpose: Make data from different sources consistent and analysis-ready.
What We Configure: Standardization of column names, currencies, date formats, timezones, and other relevant data fields.
Why It Matters: Raw data often contains inconsistencies. Cleaning and standardization ensures your data is accurate, consistent, and ready for reliable analysis.
Purpose: Prepare data from your connected platforms for analysis.
What We Configure: We organize and prepare data from your connected platforms, including the required fields, formats, and data structures needed for analysis.
Why It Matters: Your data is prepared in a consistent structure so the required analysis can be performed accurately.
Complex multi-platform data merging and unified data modeling are NOT included in the Basic Setup and are available with the Full Pipeline Setup.
Technology Stack
Businesses that need reliable data infrastructure before starting their analysis.
Businesses that need a structured data setup for either a single analysis or ongoing reporting.
Businesses working with multiple data sources that need their data securely connected and organized.
Businesses without an existing cloud data environment or automated data pipeline.
Businesses that want a reliable data foundation that can support future dashboards, reporting, and deeper analytics.
Your own GCP project and BigQuery data warehouse.
Securely authenticated data sources.
The Python code used to pull your data.
Data cleaned, structured, and standardized for reliable analysis.
A clean, organized dataset ready for audits, reporting, dashboards, and analysis.
Everything you need to know.
One-time fee · 2–3 Business Days