Dashboards are so 2020: And Not Ready for the Realities of Real-Time
Dashboards have limitations with today's streaming and real-time data flows. The data may be changing so frequently that it is hard to even see what is …
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Bringing SAS Analytics Programs into the World of Modern Development
Altair SLC runs programs written in SAS language syntax without translation and without needing to license third-party
Bringing Data Pipelines and Strategies into Focus
A recent Eckerson Group event for CDOs focused on how to evaluate, select, and implement data pipelines and products.
Real-time Analytics News for Week Ending April 1
In this week's real-time analytics news: Numerous companies achieved Google Cloud Ready - BigQuery and Google Cloud Ready - AlloyDB
Digital Twins and the Next Generation Simulation Engine
By running simulations of different scenarios, a digital twin offers an accurate reflection of the current state versus the future state and can provide the …
Customer Mastering: The Secret to Improving the Customer Experience
Customer mastering takes investments in data warehouses, customer data platforms, and analytics to the next level by integrating data across multiple systems …
3 Ways Data Historians Improve Industrial Business Practices
An industrial data historian improves access to data and is a critical component of an organization’s industrial data foundation for advanced analytics and …
Understanding the Power of Real-Time Stream Processing
Gartner: Real-time stream processing is not the future. It's been underway for maybe as much as 20 years. However, we're only halfway through the revolution.
Real-time Analytics News for Week Ending March 25
In this week's real-time analytics news: The Gartner Data & Analytics Summit and the NVIDIA GTC conference generated numerous
Gartner Keynote: A Franchise Model for Growing Analytics
Businesses can use a franchise model that promotes global consistency to scale the impact of a centralized data analytics team throughout an