Data Integration
Data Integration is the capability of combining and managing data from diverse sources to provide unified, consistent and valuable insights. It involves synchronization, mapping, transformation and delivery processes, ensuring the consistency and readability of data, enhancing accuracy in decision-making.
Level 1: Emerging
At an emerging level, you are beginning to understand and apply data integration techniques. You're grasping the concept of deriving insights from combined datasets yet require more practice.
Level 2: Proficient
At a proficient level you are able to efficiently integrate data from multiple sources, ensuring accuracy and consistency. You can confidently use tools and techniques to merge, clean, and transform data.
Level 3: Advanced
At an advanced level, you can seamlessly integrate and transform data from multiple sources using advanced techniques such as data blending, ETL processes, and automation, ensuring optimal data accuracy and consistency.
