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Challenge #1: Data Cleaning and Preprocessing Data Cleaning refers to adding the missing data in a dataset and correcting and removing the incorrect data from a dataset. On the other hand, Data Pre-processing is typically a datamining technique that helps transform raw data into an understandable format.
Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. BI leverages and synthesizes data from analytics, datamining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices.
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