In the world of data management, efficiency is king. That applies to businesses, but it also applies to educators and data ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

In this section, we use the open data SFMTA Bikeway Network at San Francisco Data. The data include the network of bike routes, lanes, and paths around the city of San Francisco. Maintained by the ...

"Dirty data"—data that has issues such as being incorrect or incomplete—can slow down operations, waste resources, and drive bad decisions. The solution to the problem is data cleansing, which is the ...

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 ...

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 ...

Bad CRM data can compound exponentially, impacting marketing and business development. It’s essential to understand the scope of your data problems and follow a plan for regular data cleaning. Have ...

Haewon Jeong, an assistant professor in UC Santa Barbara’s Electrical and Computer Engineering (ECE) Department, experienced a pivotal moment in her academic career when she was a postdoctoral fellow ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...