☐ Set up a data warehouse (e.g., Snowflake, BigQuery)
☐ Store unstructured data in a data lake (e.g., S3, Azure Data Lake)
☐ Eliminate spreadsheets and siloed systems
☐ Create and maintain a company-wide data dictionary
☐ Normalize formats (dates, currencies, naming conventions)
☐ Standardize columns and units across systems
☐ Apply metadata tags to datasets
☐ Classify data types (customer, finance, product, etc.)
☐ Use consistent schema across data inputs
☐ De-duplicate and validate key records
☐ Handle missing values and outliers
☐ Set up recurring data quality checks
☐ Integrate core systems (CRM, ERP, PM tools)
☐ Automate workflows using Zapier, Make, or custom APIs
☐ Ensure real-time or frequent sync between systems