Plus, real-time data analytics can identify trends, such as recurring problems with a particular line of cameras the company purchased. Armed with this data, ...

For tech leaders navigating Industry 4.0, real-time inventory is emerging as a core driver of agility, automation and ...

1. Limit real-time analytics to relevant use cases. Business and IT leaders are often so enamored with speed that they insist every data insight be delivered in real-time.

Here are some trends that will shape and drive the adoption of real-time analytics further in 2022. Surge in data volumes, velocity. Continuing the trend from recent years, data volumes and ...

Take the world of financial services, where we see banks using real-time analytics to capture and process over 1TB of data per day to deliver on business, risk and regulatory requirements.Or the ...

Real-time data analytics can be used for prescriptive as well as predictive analytics, allowing universities to collect and analyze data collected and distributed in real time using continuous ...

Providing real-time analysis is no longer a costly endeavor for the few. Most companies already have the data to analyze sitting in their existing CRM, ERP, CPM or other operational systems, but ...

The global data acquisition system market is surging, driven by the rising need for advanced, real-time data collection, ...

In this week’s Computer Weekly, we examine the emerging applications of real-time analytics and highlight the challenges for businesses to maximise the benefits. EU experts are calling for ...

Real-time analytics can play a key role in better understanding of the working structure and using data to address complex challenges while improving the performance of the assets.