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 ...

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 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 ...

All CRM contact records are not created equal. By segmenting contact data into manageable pieces, your data cleaning process will be more manageable, and you can better measure progress. Have you ever ...

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 ...

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 ...

The hype around big data is deafening, and for valid reason. When it’s used to augment customer information, big data acts as a force multiplier, arming organizations with deep customer intelligence.

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 ...

Business today depends on data. The ability to efficiently acquire, access, and analyze information is essential to effective decision-making. And better decisions are key to building better ...

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 ...