Data Observability, Data Preparation and ETL

Data Fabric and Address Verification Interface

IBM Data Science in Practice

NOVEMBER 28, 2022

Ensuring high-quality data A crucial aspect of downstream consumption is data quality. Studies have shown that 80% of time is spent on data preparation and cleansing, leaving only 20% of time for data analytics. This leaves more time for data analysis. Let’s use address data as an example.

Data Pipeline

Data Pipeline Data Quality Data Preparation Data Governance

Data Science Current

Data Fabric and Address Verification Interface

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