Flow monitoring has become a prevalent method for monitoring traffic in high-speed networks. By focusing on the analysis of flows, rather than individual packets, it is often said to be more scalable ...

Learn how AI can help you forecast and manage your cash flow by automating data collection and analysis, generating accurate forecasts, optimizing decisions and actions, and enhancing your skills.

Abstract: Traffic flow parameters are an important data support for the research and development of several technologies in the intelligent transportation system. Therefore, accurate and real-time ...

<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, ...

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 ...

Important considerations for collecting and analyzing disaggregated data include key subgroups and parameters for analysis, interpretation and reporting. Sponsors should pre-specify the strategy for ...

Data collection via residential proxies gives you access to an endless flow of genuine information. Through it, you can derive useful insights and potential leads, which can drive your business ...

Disaggregated data is data obtained by breaking down aggregated datasets into subcategories. These subcategories are based on factors such as sex, age, race/ethnicity, co-morbidities and/or other ...