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Data Quality Management: The Key to Successful Predictive Analytics

Information Builders
Written by Warren Kelly | Published in
First published: 01-09-2011
Size2.80 MB
Create DateAugust 12, 2014
Last UpdatedApril 28, 2015

A recent article published on Web Analytics World claims that, “In order to attain accurate business intelligence, companies must maintain quality data. Predictive analysis requires both past and current data about many different things, including customers, businesses, products, and the economy.

This white paper will focus on the importance of data quality management as it relates to predictive analytics. It will explore various methodologies for assessing and improving data quality, and highlight best practices in preparing data for predictive analysis. It will also present a realworld scenario of how poor data quality would negatively impact predictive modeling efforts.

Data Quality Management: The Key to Successful Predictive Analytics

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