Getting Into Data Modeling and Visualisation -Discover What’s Hidden in Data

Businesses can now grow and learn about their customers in new and faster ways than ever before. There is a huge amount of information available, that is more and more dimensional and complex. In order to make data valuable, data modeling and visualization is crucial. Let’s discuss with DN19 speakersSamantha Eddsfrom Bunch AI andAdam Janes, fellow at Dalarub and Ettrich. 

Through graphs, charts and maps, we can make data insightful, so we are able to see hidden trends and patterns. This is called data visualization and in the world of Big Data, it’s becoming massively important as it makes data more understandable and usable. 

Data modeling, on the other hand, makes sure that the data is stored in a database and accurately represented. It includes the data objects, associations and rules. Through modelling, you can create a clear picture of the data and identify missing and redundant data.

As our societies are increasingly data-driven, data modeling and visualization are crucial to that development. Let’s check out what these magical disciplines are all about.

“On the surface, it seems like our society has unanimously agreed that data is an extremely valuable thing,” tells Adam Janes, who taught data visualization to over 8000 students on Udemy. “However in reality, value is generated through insight, not through collection.” We can make sense of abstract information through data visualization. It makes data concrete, so it can guide our future actions.  

It is both an art and a science, as a lot of design also comes into play in order to make the data visually attractive. Some of the creative creations are working well, he names interactive data journalism such as those fromThe New York TimesandNational Geographic. ”But for most people who make data visualizations this just ends up causing clutter,” he says. 

And that is the challenge of Data Visualization: designing something that is actually easy to comprehend. “There’s always a temptation to try to reinvent the wheel and make something completely unique, because we don’t want to just keep drawing bar charts and line graphs,” says Janes.

In terms of technology for data visualization, Janes works with and recommendsD3.js, which specifically helps to display data on web pages.