Data Analysis Project Charter

This document outlines the project’s purpose, objectives, stakeholders, and high-level scope. It provides a clear understanding of what the project aims to achieve.

Project Data Documentation

Overview
– Project Name/Title
– Project Description/Purpose/Objectives
– Key Stakeholders/Team Members

Data Sources
– List of data sources used (databases, files, APIs, etc.)
– Brief description of each data source
– Data ownership/access permissions

Data Processing
– Data extraction methods (queries, scripts, etc.)
– Data transformation steps
– Data cleaning/wrangling techniques applied
– Handling of missing/duplicate/outlier data

Data Model
– Entity Relationship Diagram (ERD) or schema
– Description of key entities/tables
– Data dictionary with column details

Data Pipeline
– Overview of data ingestion & ETL processes
– Workflow/architecture diagrams
– Automation tools used (Airflow, etc.)
– Data validation checks

Data Storage
– Database details (engine, server, etc.)
– File storage locations
– Data backup/archival strategy

Data Access
– How to access/query the data
– Tools/Reports for analysis
– Data sharing protocols

Data Quality
– Data quality dimensions tracked
– Data quality rules/constraints
– Data quality monitoring/reporting

Data Governance
– Data ownership/stewardship
– Security/privacy considerations
– Regulatory compliance requirements