Report: 80% of Real-Time Data Businesses See Revenue Jump
The report also claims there’s a potential to squeeze out an additional $2.6 trillion in revenue if more companies made the switch to
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Data Management in the Era of Data Intensity
To succeed in the digital services economy – and the era of data-intensive applications – you need to leverage fresh data to deliver engaging real-time …
How Fleets Can Streamline Maintenance by Embracing Data
Fleets that utilize the cloud to capture data with help from telematics systems can successfully achieve data-driven predictive and streamlined
Backend Data Integration Challenges in the Age of Cloud
Cloud is increasingly supporting faster and more comprehensive methods of data integration, including automated data pipelines, real-time data streaming, and …
Why Humanizing Automation Is Critical to Its Success
Human-machine collaboration is where enterprises must head, especially as the automation market continues to advance with such breakneck speed.
What is EaaS and What Value Can it Bring?
Connected products allow OEMs to move from equipment makers with one customer touch point at the initial sale to a more dynamic role over the long term as an …
We’re Only at the Beginning of the Analytics Revolution
One factor that distinguishes a data-driven enterprise is a culture in which data, analytics, and cloud strategies are aligned with business
Real-time Analytics News for Week Ending August 20
In this week's real-time analytics news: Cloudera announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse SaaS offering for …
The Personalization Paradox and How to Solve It
Personalization and marketing conversion goals are often at odds with the goals of development since they can slow down website
How Connected Products Enable Predictive Maintenance
Using analytics and AI, OEMs of connected equipment can gain a deep understanding of the status of a machine and move to a predictive maintenance mode of …