Embedded Analytics Delivers Oomph to the Bottom Line
The challenge with embedded analytics is it remains costly and difficult to implement. But if done smartly, organizations can reap many benefits.
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
The challenge with embedded analytics is it remains costly and difficult to implement. But if done smartly, organizations can reap many benefits.
In this week's real-time analytics news: As expected, few announcements were made during the holiday week. But what’s important is quality, not quantity.
Energy harvesting IoT solutions play a crucial part in not only creating better workplaces and optimizing the energy consumption of buildings, but also in …
Weaving analytics into every aspect of an organization isn’t a simple process. But when you do, the rewards are worth the time and
Hyperautomation is too compelling for businesses to ignore. They look to use it lower operational costs, reduce human errors, support governance efforts, and …
In this week's real-time analytics news: Databricks announced new features and enhancements to its offerings at its annual Data + AI Summit.
With digital twin, it's wise to start small with achievable processes that can make a more immediate impact and then tackle more complex processes later
Operational intelligence, which is the real time next phase of Business Intelligence, enables companies to improve operations in real
As the volume and impact of consumer fraud grows, meeting the challenge of collecting and analyzing larger volumes of data to disrupt and detect fraud remains …
Robotic data automation paves the way to the next generation of data integration architecture, which is data fabric and data