Insights

Operational efficiency is critical to maximizing profitability across your logistics solution

Digital payment solutions are revolutionizing how individuals and businesses conduct transactions, offering instant settlement and improved customer experience. The rise of RTP platforms has become a significant trend in fintech, promising faster, more efficient, and secure payment processing.

Today, there is an ever-increasing demand for faster payment processing and real-time financial interactions. Let’s discuss why payment speed matters, the impact of slow payments, and how PubNub can help.

The Internet Control Message Protocol (ICMP) is integral to the Internet Protocol Suite, operating primarily at the network layer. Though ICMP doesn’t manage data transfer like TCP or UDP, it plays a crucial role in network diagnostics, error handling, and control messaging.

In data-driven decision-making, Data Quality Management (DQM) ensures high standards for data accuracy, completeness, consistency, and reliability throughout its lifecycle.

Real User Monitoring (RUM) is a passive performance monitoring technique that captures, analyzes, and reports on user interactions with web applications in real-time. Unlike synthetic monitoring (which simulates user actions), RUM collects data directly from actual users, making it a vital tool for understanding...

Data insights are powerful revelations extracted from raw data that help businesses make more informed, strategic decisions. To drive successful decision-making, insights need to go beyond simple metrics, diving into patterns, trends, and the underlying story of the data. In this post, we’ll break down...

Data acquisition (DAQ) involves gathering real-world analog signals from sensors or transducers, converting them into digital data using Analog-to-Digital Converters (ADC), and transmitting them to a computer or processing system for analysis, monitoring, or control.

Anomaly detection refers to the identification of items, events, or observations that deviate significantly from the norm or expected behavior within a dataset. These anomalies are often referred to as "outliers," "exceptions," or "rare events." The goal of anomaly detection is to distinguish unusual...