Prioritize data across systems
Understand your data landscape by identifying and standardizing data sources that need to be integrated. Establish common data definitions, formats, and categories. Where possible use AI-driven or rule-based tools to automate repetitive data cleansing tasks.
Centralize data for better accessibility and analysis
Select a centralized data storage solution, whether a data warehouse, a data lake, a hybrid solution, a cloud-based solution, or a combination of these.
Ensure guidelines for data ownership and security
Clearly define data ownership and access permissions and ensure the centralized data platform complies with relevant regulations such as GDPR and HIPAA). Also, ensure that appropriate security measures are in place to protect sensitive data.
