Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

In this video, we explore the new Clean Data button in Excel, which utilizes AI to automate data cleaning. We examine its effectiveness in cleaning text values, numbers, removing spaces, and ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

Data cleaning is an essential step in data analysis. Inaccurate or inconsistent data can lead to incorrect conclusions and poor decision-making. Microsoft Excel, a powerful tool for data management, ...

Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...

Auto dealership leaders will learn how clean data-powered automation supports vendor spend optimization, integrated ...

Data cleaning is a critical step in the data processing cycle that can significantly impact the quality of data-driven initiatives. It’s not just about removing errors and inconsistencies; it is also ...

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models. It ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Data is a critical ...