Do you know the Benefits of Data Visualization?

Data visualization. The definition of that's increasingly more spoken of, however i use a feeling that many people don't have the real definition or real feeling by what data visualization in fact is. Or, what it really ought to be. First Let me try and clarify how it's, and just then can I consider what are the direct great things about meaningful data visualization are. - data visualization company

Even though some activities that may be thought to be data visualizations have become old, most development has occurred in the past 30-40 years. For the reason that period, in the first organized papers of John Tukey or Edward Tufte, I believe that many scientists and later on IT professionals felt like I felt when first unveiled in such literature. The dominant feeling was that everything fell into position and i also asked myself how could I make a lot of mistakes within my career attached to building reports, graphs etc.

Well, i think that the biggest mistakes in data visualization are manufactured since people do not the specified level of care about it; these are sure that they know what they're doing. Even on commercials from top BI vendors, it's possible to see glossy dashboards brimming with colors, 3D bar graphs and 3D transparent pie charts. On the untrained eye seems great, that is the core with the problem - it simply 'looks' great. Yet it's informative? A lot of colors for encoding visual information brings about visual noise; on 3D bar graphs you can't read measures correctly, and if you're assigned a 3D transparent pie-chart, just pick any two slices and attempt to think about which slice is greater and by simply how much?

I hope that now you agree that there is much more to visual presentation of quantities then in order to click a 'convert to graph' button in some application. When we consult fields of psychology, human visual systems and cognition or gest´┐Żlt principles of visual perception, we become conscious of data visualization is a thing which needs to be done right and, much more importantly, it may be learned and taught. Let's emphasize just one example. There's well-known initial phase of visual perception that comes about quickly below the amount of consciousness called preattentive processing. It enables every individual to be effective at detecting a particular list of visual attributes at great speed. The first example that springs in your thoughts may be the very text you read. Only request you to count present did the word 'visual' happen in this text, you will require at least Ten or twenty seconds for an answer. But, if every word 'visual' can be found in bold style and colored red, recognition is going to be imminent. That'll be because improvement in color will be preattentively perceived. Other such categories include - for example - position, orientation, shape or size differences.

Each data visualization designer knows such simple principles, he can apply them to any report or graph, data analysis or information dashboard. Only then does it give you a powerful ways to understand data. When done right, data visualization will make us think, compare data, read stories beyond our data, will put data within the right context and finally help decision-makers to help make the right choices.

Perceptive Analytics specializes in creating custom data visualizations. Conveying meaning in data quickly is the focal point of analytics. Visual analytics helps you discover new relationships in data, prompts you to ask new questions, and helps you convey what you see to others. Join us for this webinar to learn how to unlock the potential of your data using data visualizations. - data visualization company