Data Quality as the Core of Intelligence: Enabling Smart, Connected, and Compliant Enterprises
1. The Clarity Concept Derives from Clean Data Whether an organization succeeds or fails depends on the accuracy of the billions of data it generates every day. The basis for that reality is data cleansing. Even advanced statistics and artificial intelligence methods are unreliable without it. Reports begin to contradict one another, numbers lose their meaning, and business expertise becomes speculative. For PiLog Group, data cleansing is a purposeful strategy that restores confidence in enterprise data rather than merely a technical process. PiLog helps businesses turn dispersed, inconsistent, and incomplete datasets into data that supports important decisions by combining automation, international standards, and in-depth subject knowledge. 2. Describe Data Cleaning Error repair and duplication removal are only two aspects of data cleansing. It involves locating the anomalies, missing information, and formatting errors that affect how businesses understand their operation...