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 ...

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 ...

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 ...

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 ...

Organizations may need to share their data to achieve business goals. Here’s how they can do it with compliance in mind.

Brett Hansen is the CGO of Semarchy, a data software company that enables organizations to leverage their data to create business value. Companies in 2022 are implementing data-driven strategies to ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

Secure environments for using and sharing data make sense for healthcare organizations looking to augment cybersecurity as ...

Have you ever stared at a massive dataset, only to realize it’s riddled with empty columns that serve no purpose? It’s a frustrating scenario—one that wastes time, clutters your workflow, and makes ...

Data preparation can be complicated. Get an overview of common data preparation tasks like transforming data, splitting datasets and merging multiple data sources. Image: Artem/Adobe Stock Data ...