The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

Decision makers in fragile countries need quality data; obtaining such data is challenging. This book presents innovations, methodological as well as in data collection, to meet this challenge. The ...

As data analytics become more necessary to advance population and public health, healthcare stakeholders may find themselves increasingly working on analytics projects. The outcomes of these projects ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...

Data collection is a critical task for anyone managing a company's ESG initiatives-- but getting it right takes a nuanced understanding of the best processes. As more companies focus on environmental, ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization’s data quality for unstructured data. Finding effective ways to use data ...

A robot is seen during a training at a robot data collection center of Chinese e-commerce giant JD.com in Suqian, east ...

Building owners are using data collection and artificial intelligence to help control systems like heating, lighting, air quality and even the flow of workers. By Patrick Sisson Developers are ...