For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...

CA Erwin Data Modeler r8, a solution for collaboratively visualizing and managing data across multiple systems, was announced by CA Technologies. Enhanced visualization and different ways to visualize ...

CA Technologies says it is now shipping a toolset for collaboratively visualizing and managing data across multiple systems. The product, CA Erwin Data Modeler r8, offers enhanced visualization and ...

Charting APIs have their place, but embedded analytics platforms are often a better way to create interactive, visual experiences in your applications. If you develop applications that share data with ...

Developing an animated video begins with creation of a storyboard and script based on key features of the data, taking into account the intended audience and desired outcomes. (Image credit: Jessica ...

Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real-time information and advanced analytics solutions are an expensive waste of money if you can’t ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...