Data integration improves data quality by consolidating data from various sources into a unified format, thus reducing inconsistencies, errors, and duplications. This process involves cleaning, transforming, and enriching data to ensure accuracy and reliability. For instance, if a company collects sales data from multiple platforms, integrating this data can help identify and rectify discrepancies in the figures reported by different systems.
Moreover, data integration facilitates better data governance and compliance, as it enables organizations to maintain a single source of truth for their data. This, in turn, enhances decision-making by providing a more comprehensive and accurate view of the business landscape.
In the context of cloud computing, platforms like Tencent Cloud offer robust data integration services that leverage advanced technologies such as machine learning and AI to automate data cleaning and transformation processes, further improving data quality and usability.