Associated Data Analytic tools are being integrated into a new structure, Rail Data Science as illustrated in Figure 3. Rail Data Science, sometimes referred to as Railroad Big Data Analytics, has ...

Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...

Agencies should establish consistent data formats and terminologies that can easily be shared and understood across different departments. Consistency can make cross-data aggregation and sharing ...

Here are 10 best practices for data collection, integration and analysis: Guard customers’ privacy. Consumers are nervous about how their data may be misused.

The Army is achieving this aim through its PC21 Data Collection and Analysis Team (DC&A), which is responsible for collecting, harvesting and condensing data related to the experiment, ...

Technological developments in data collection and analysis include the use of geographic information systems (GIS) and imagery analysis, crowdsourcing, and mobile technology (see Box 1). These new ...

Moving from spreadsheets to automated data collection and processing is far from easy, but it could revolutionize drug development. It’s time for the biopharma industry to embrace end-to-end ...

Similarly, our analysis of New York City’s jail system during COVID-19 revealed how oversimplified data categories can mask critical inequities. The city’s public incarceration data uses just three ...

For example, Kitman Labs has offerings used by more than 700 elite sports teams. Its products created the industry’s largest data collection of statistics about talent, performance, and athlete ...

The council budgeted $363,875 for the study, which included traffic, streetlight and parking data collection; a traffic analysis that included intersection capacity, valet parking, commercial ...