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 ...

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 ...

President Donald Trump is testing the American economy’s ability to simultaneously withstand rapid-fire tariffs, a sharp decline in immigration and a sweeping overhaul of tax policy. A key federal ...

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 ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Data quality management is a crucial aspect ...

Data quality refers to the accuracy, completeness and consistency of the information in an enterprise database. Discover the top 10 benefits of having data quality in your organization. Data quality ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...