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 ...

<p>The &ldquo;People, Process, Technology&rdquo; framework has effectively guided many initiatives and projects over the years and produced valuable data for reports and business metrics.&nbsp; Now, ...

Attoh-Okine, N., “Vanilla Lite Data Analysis Techniques in Railway Track Engineering – Time to Let Go,” 2019 Big Data in Railroad Maintenance Planning Conference. Williams, T and John Betak, J, “Using ...

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 ...

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.

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 ...

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, ...

Digital lab for data- and robot-driven materials science The dLab fully automates processes from material synthesis to analysis Date: May 14, 2025 ...