data-analytics-core is the single source of truth for the Data Analytics vertical at ColoredCow.
It defines how we think, design, structure, validate, and deliver analytics across all clients and internal initiatives.
This repository is the operating system behind our analytics work. It contains the principles, processes, mental models, templates, and frameworks that guide:
- how data flows from source → warehouse → dashboards
- how metrics are defined
- how insights are generated
- how investigations are conducted
- how dashboards are designed
- how reporting is standardized
This is not a collection of dashboards or SQL models. This is the blueprint behind all analytics.
Core principles behind analytics at ColoredCow:
- mission & philosophy
- glossary
- data quality rules
- ethics & privacy
- levels of analytics (reporting → insights → action → outcomes)
How data moves, lives, and is governed:
- data sources overview
- pipeline & warehouse architecture
- naming conventions
- folder structure
- access control guidelines
How we think and how we work:
Investigation
- asking better questions
- SQL debugging and validation
- confidence vs evidence
- model validation patterns
Visualization
- dashboard design principles
- business metric definitions
- color & chart usage rules
- storytelling with data
Reusable, cross-client data structures:
- ecommerce models (orders, customers, products, cohorts)
- marketing analytics (campaigns, attribution, funnels)
- operational models (ticketing, lifecycle)
- cross-client standards
Repeatable systems that ensure reliability:
- data onboarding
- scheduled jobs
- warehouse update workflows
- reporting cadence
- archiving
- QA & verification
Standardized formats for:
- insight writing
- RCA (analytics-specific)
- dashboard specification
- client reporting
Plus GitHub issue templates for all data-related requests.
Real, anonymized examples to learn from:
- sample RCAs
- sample insights
- dashboard screenshots
- worked examples
If you are new here, begin with /01-foundation.
It defines the mental model and expectations.
Use GitHub Issues for:
- metric definitions
- naming updates
- data model changes
- dashboard specs
- RCA investigations
- pipeline enhancements
Every important decision remains traceable and reviewable.
- No direct commits to main
- Every change → branch → PR
- At least one maintainer review required
This maintains clarity, consistency, and quality.
Dashboards, SQL models, pipelines, and reports live elsewhere. This repo holds the thinking behind them.
Owner
- Pokhi (Data Analytics & Engineering Strategy)
Core Maintainers
- Analytics Leads
- BI Developers
- Data Engineering
Changes that impact standards, naming, or data models require at least one maintainer approval.
This repository ensures that analytics at ColoredCow is:
- consistent
- reliable
- high-quality
- scalable
- client-ready
- culture-driven
It allows us to build analytics as a repeatable, independent vertical — not dependent on any individual.