New module addresses multi-billion-dollar data quality challenge in life sciences by automating data cleansing, standardization, and transformation for AI readiness Built for scale, security, and ...

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 ...

If you’re looking for a data quality solution, you have many options. SAS Data Management and Talend Data Quality are two of the most popular solutions on the market today, both offering robust ...

Syncsort has introduced Trillium DQ for Big Data to provide data profiling and data quality capabilities in a single solution that is designed to work natively with distributed architectures. The ...

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 ...

Firstlogic releases their newly enhanced data cleansing software, DataRight IQ. Data-driven companies can use DataRight IQ to achieve the data quality needed for personalized campaigns and effective ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

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 benefits of data standardization within the social sector—and indeed just about any industry—are multiple, important, and undeniable. Access to the same type of data over time lends the ability to ...

A customer is a customer is a customer, right? Actually, it’s not that simple. Just ask Emerson Process Management, an Emerson Electric Co. unit in Austin that supplies process automation products.