The Growing Importance of Real Time in Retail
Tinybird’s Alejandro (Alex) Martín Valledor talks about the challenges of building real-time products, technologies that can help, and the benefits …
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Real-time Analytics News for Week Ending November 12
Upsolver announced the general availability of SQLake, a new service that provides a SQL-based, self-orchestrating data pipeline platform that ingests and …
CITY Furniture: A Real Time and Data Virtualization Case Study
CITY Furniture took the success of a real-time data system for sales and extended it across multiple departments.
How Forward-Looking Orgs Can Get Started with Hyperautomation
Hyperautomation is a business-driven, disciplined methodology to swiftly discover, validate, and automate as many business and IT activities as
Fused Testing Offers a Blueprint to Capitalize on Test Automation
The fused testing methodology helps teams fully realize the promise of test automation by challenging the status quo of testing silos across manual and …
Real-time Analytics News for Week Ending November 5
In this week's real-time analytics news: Platforms and tools for monitoring real-time pipelines are among the top
Digital Twins May Soon Make Crash-Test Dummies Obsolete
Digital twins are being built through the convergence of simulation technology, high-performance computing, and artificial
Smart Cities: Regional Collaboration Synergizes Benefits
Integrating smart cities efforts across geographic boundaries helps democratize expertise and skillsets needed to get the most impactful
Real-time Analytics News for Week Ending October 29
In this week's real-time analytics news: Many companies used the KubeCon + CloudNativeCon North America conference to make product announcements.
3 Ways Decision Intelligence Differs from Business Intelligence
Decision intelligence leverages AI-driven automation and data analysis to uncover key drivers, patterns, anomalies, and segments that are not easily
