Data Analytics

Insights that drive growth. We turn your data into actionable business intelligence.

We build analytics infrastructure and business intelligence systems — from data warehouse setup and ETL pipelines to executive dashboards and self-service reporting — so your team makes decisions from data.

1
Single source of truth for all business data
<5min
Dashboard refresh latency target
100%
Self-service access for stakeholders
6wk
From raw data to decision-ready dashboards

From Data Silos to Decision Intelligence

Most growing companies have data scattered across a CRM, a product database, an ad platform, a payment processor, and spreadsheets. The result is that answering a simple business question takes days.

We build analytics systems that consolidate your data sources into a single, reliable warehouse — with automated ETL pipelines, a semantic layer for non-technical users, and dashboards that answer your real questions.

We work with modern data stacks (dbt, BigQuery, Snowflake, Looker/Metabase) and embed analytics directly into your product for user-facing reporting.

Service Inclusions

Data Warehouse

BigQuery, Snowflake, or Redshift setup with schema design, access controls, and cost optimisation from day one.

ETL/ELT Pipelines

Automated data ingestion from all your sources (Salesforce, Stripe, product DB, ad platforms) via Fivetran or custom pipelines.

dbt Transformation Layer

Modular, tested, version-controlled SQL transformations with dbt — creating clean, documented data models.

Executive Dashboards

Looker, Metabase, or Tableau dashboards covering revenue, product, marketing, and operational KPIs.

Product Analytics

Mixpanel, Amplitude, or custom event tracking implementation with funnel analysis and cohort retention.

Predictive Analytics

Churn prediction, revenue forecasting, and LTV modelling built on your clean data warehouse.

A Process Built for Clarity

No black boxes. No surprise invoices. Every project at Codewingz follows a disciplined four-phase process designed to reduce risk and maximise value at every stage.

01

Data Audit

Inventory all data sources, assess data quality, define key business metrics, and map the questions your team cannot answer.

02

Architecture Design

Data warehouse selection, ETL tool selection, and semantic layer design.

03

Pipeline Build

ETL connectors configured, raw data landing in warehouse, dbt models transforming to clean analytics tables.

04

Dashboard Development

Executive, product, marketing, and operational dashboards built with defined KPIs and filters.

05

Validation & Handover

Data validation against source systems, stakeholder training, and documentation.

The Tech Stack

We select technologies based on performance, scalability, and long-term maintainability, not trends.

BigQuery / Snowflake

Specialized implementation of BigQuery / Snowflake in the Data Warehouse space.

dbt

Specialized implementation of dbt in the Transformation space.

Fivetran / Airbyte

Specialized implementation of Fivetran / Airbyte in the ETL space.

Looker / Metabase

Specialized implementation of Looker / Metabase in the BI Tool space.

Mixpanel / Amplitude

Specialized implementation of Mixpanel / Amplitude in the Product Analytics space.

Real-World Impact

EduPath Learning

The Challenge

An EdTech platform had product data, payment data, support data, and marketing data with no way to connect them. Answering 'what is our LTV' took 3 days.

The Solution

We built a BigQuery warehouse with Fivetran connectors and dbt models. A Metabase instance gave the leadership team self-service access to dashboards.

Key Performance Indicators

3 days → 4 seconds
Time to answer business questions
6
Data sources connected
8
Dashboard users
+$12k/mo
Marketing spend reallocation

Common Inquiries

Everything you need to know about our specialized services.

Stop Running Your Business on Spreadsheets.

Tell us the business questions you cannot currently answer — we will build the system that answers them automatically.

Talk to an Expert