eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Although commercial data cleansing and standardization ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the foundation of ...

Like never before, companies are using data to make business decisions. The challenge for IT organizations is to make sure that that data — increasing every day — is of the best quality. That means ...

Cast Iron Systems, maker of an appliance for integrating SaaS and on-premise applications, is introducing a new version that adds data cleansing and migration tools, along with a library of prebuilt ...

Excel's text functions, such as TRIM, UPPER, LOWER, and PROPER, can be used to clean up textual data. TRIM removes extra ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Handling hundreds of rows, columns, and pivot tables usually results in a less-than-perfect dataset. A massive Excel workbook is often riddled with inconsistencies, errors, missing values, duplicates, ...

UK law enforcement agencies can now access data cleansing and analysis tools via the Microsoft Azure cloud, potentially saving police hundreds of hours of manual data processing. The tools available ...

With the volume of new data now measured in the hundreds of exabytes each day and Web 3.0 becoming a thing, businesses are in need of advanced analytics and big data tools that can turn that data into ...

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 ...