The Office of Interprofessional and Interdisciplinary Education and Research will host a three-session seminar, titled “Data Cleaning: Techniques for Producing High-Quality Datasets,” beginning ...

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 ...

Ever found yourself staring at a massive Excel spreadsheet, feeling overwhelmed by the sheer amount of data that needs cleaning? Hours can turn into days, with errors and inconsistencies still present ...

We’ve all been there—staring at a messy Excel spreadsheet filled with merged cells, inconsistent formats, or cryptic data that seems impossible to untangle. Whether you’re prepping a report for your ...

It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches. "Data can be one of our ...

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning ...

The integrity of database systems is increasingly dependent on maintaining high data quality while enforcing robust consistency rules. Data quality encompasses the accuracy, completeness, and ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

The explosion of data in the modern world has brought on many novel business problems when It comes to the applications of modeling and analysis. Businesses are starting to recognize the value that ...