Data integration capabilities enable pipelines of consistent, accurate, and reliable operational and analytical data to flow across enterprise systems, services, processes, and workflows in support of better analysis and decision making.
The technical challenges of data integration include mapping data attributes and properties between systems and data models, establishing database or API connectivity between disparate systems, and ensuring data quality and standardization thoughout extraction, transformation, and loading processes.
Integrating internal and external data sources creates opportunities for cleaning and augmenting enterprise data with contextualized and actionable data and insights from operational systems and third party services.