Having dealt with GDPR for years, advertisers are accustomed to the strict privacy and data-sharing regulations that it entails. This need gave rise to what is referred to as “data clean rooms” that ...

Over the past two years, data clean rooms have exploded onto the programmatic advertising scene, and they’re already at the center of some of the most exciting new partnerships and growth ...

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Steve Silvers, SVP product, GM customer ...

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 ...

Today, multiple forces are transforming the way companies buy and sell ads. In a trend accelerated by the COVID-19 pandemic, marketers continue to shift their spending toward digital platforms. Even ...

A data clean room is a technology service that helps content platforms keep first person user data private when interacting with advertising providers. The concept of a data clean room is intended to ...

Data cleaning is an essential step in data analysis. Inaccurate or inconsistent data can lead to incorrect conclusions and poor decision-making. Microsoft Excel, a powerful tool for data management, ...

This year, 80% of advertisers who spend more than $1 billion annually on media are expected to use data clean rooms, according to the IAB’s 2023 State of Data report, which spans 200 surveys and 20 ...

As data continues to be an important driver of business success, many organizations are under increasing pressure to extract value from their proprietary data while also maintaining its quality and ...

Demonstration of Excel’s new AI-powered Clean Data button for automating common data-cleaning tasks. Covers how the tool handles: - Cleaning text values - Cleaning numbers - Removing extra spaces - ...

Data cleansing, also referred to as data cleaning or data scrubbing, is the process of fixing incorrect, incomplete, duplicate or otherwise erroneous data in a data set. It involves identifying data ...