Accurate data analysisĮTL gives more accurate data analysis to meet compliance and regulatory standards. This makes it easier to analyze, visualize, and make sense of large datasets. The data integration process improves the data quality and saves the time required to move, categorize, or standardize data. ETL combines databases and various forms of data into a single, unified view. Managing multiple datasets demands time and coordination and can result in inefficiencies and delays. Consolidated data viewĮTL provides a consolidated view of data for in-depth analysis and reporting. You can view older datasets alongside more recent information, which gives you a long-term view of data. An enterprise can combine legacy data with data from new platforms and applications.
Historical contextĮTL gives deep historical context to the organization’s data. Extract, transform, and load (ETL) improves business intelligence and analytics by making the process more reliable, accurate, detailed, and efficient.
