While from Black Friday 2017, I thought this one was particularly well styled.
The hovering effect is effective for showing an initial weighted metric and if you click onto an individual item a detailed window gives further information on the brands social statistics for that time period.
This is a very creative data implementation of various objects in space. I really like the originality of this and is a great demonstration of how data can be presented outside ordinary charts and graphs.
While these data snippets of space objects aren’t particularly valuable, its a great indicator of how creative data visualization can draw more attention.
It is a real-time data fed dashboard where the user can highlight on the scatter nodes for further information.
Its informative and constantly updated while still giving interactivity to the user. Its value is evident from combining those three aspects:
Here are some user input concepts that you might consider:
Can the user filter data by certain criteria (e.g category)?
Can the user can highlight points of interest for further details?
Is the dashboard in real-time?
Are the metrics displayed likely to be understood to the user?
These are all important considerations when trying to make your data valuable.
With all this mind, its important to remember that while not all data are inherently useful, the ability to traverse through the information in a specific dataset is key to making vital business decisions.
Data can be static or in realtime. Static data represent datasets that do not change and are fixed.
Whereas real-time data are ever changing and are constantly receiving live updates.
As a result of these live updates the data will dynamically change. This is perhaps the most valuable aspect of data visualization for a business or product.
Multiple studies have been conducted regarding how real-time data assist major firms to come to a final verdict regarding important decisions.
Real time data visualization enables decision makers or viewers to have the most up to date information either for observation purposes or to make time-sensitive decisions based on that information.
When combined with user input, real-time data can become incredibly beneficial for organisations to analyse the latest information, as well as for users to contribute their input.
This input is in turn reflected instantaneously through the visual medium used to display that input.
Organisations feel more confident in their decisions when they know they are fact-driven, as opposed to when they are relying on their own instinct or intuition.
Importance of data visualization in modern business
What drives the value of data visualization is how a modern business can use it.
Many modern business have adapted data visualization as the best way to depict some of their most important metrics such as sales, conversions and user retention rate.
This is perhaps most apparent, when taking into consideration that data visualization can provide a parity of understanding amongst many different types of employees.
This means that even those without much training in big data can propose their own solution to a problem that being highlighted in a companies metrics.
This might not be the case if the data was not understand properly.
There is a type of visual regression when consistently looking at excel sheets as no visual feedback means that there is no sense of the scale of comparison.
As hinted at earlier, anyone using data visualization can make a more informed decision from understanding that data. For a business, data-led decisions can have huge implications on profits and growth.
Vital decisions being made from looking at visual data, spotting patterns and predicting where it will go next. Therefore, it is important to make interpretation of the data as user-friendly as possible.
This really could be any kind of metric including sales, stock, user retention etc. However, used creatively, data visualization can depict overall growth of business, peaks and troughs of the financial year and much more.
Data visualization can also be used to highlight important statistics that would otherwise be difficult to explain for anyone that is not closely involved of the inner working of a business or product.
While the benefits for large business are evident, something that is perhaps overlooked is how beneficial data visualization can be for smaller businesses. Providing the ability to make informed data based decisions at early stage can be key to maximising growth.
Having realtime feedback of where your business stands in it early stages provides incredible value for those who are looking for predictions, patterns, comparisons etc.
Data Visualization Techniques
The techniques used for depicting data visualization can vary greatly.
When taking into account that any visual format displaying data can be considered a form of data visualization.
With this in mind, there are a few considerations that should be taken into account when thinking of using a data visualization technique.
What data am I trying to highlight/indicate?
Is the data static or in real-time?
Will the user have input?
Will the dataset be interactive?
Once you know what your dataset is, it is equally as important to know how you want to depict it. This defines what technique will be used.
I wanted to highlight the most common techniques so here are some basic chart formats that most simple datasets can use:
Please note that these are the most basic forms of data visualization and their complexity can increase according to the shape of your data.
Think about how you would apply the same metrics to your business or product.
Overall, data visualization can be seen all the over the web. It can be displayed in many different ways. Some use cases may present rudimentary charts, whereas others can appear to be styled in creative ways.
Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.
I hope this information was useful and that the benefits or using data visualization are apparent. In the next topic I want to focus in on real-time data visualization.
In the meantime, if you are interested in adding data visualization visualization to your business or product you can get in touch here.