One of the most important aspects of Data Science is being able to simply convey the key findings to those without in depth statistical knowledge. Data visualisation is one of the best ways to achieve this.
Simple Excel bar charts might not cut it anymore. Completely customised and complex data visualisations can be automated when statistical knowledge is combined with programming techniques.
There are several types of data visualisations to consider - static, interactive, real-time, animated and geospatial.
Static visualisations are typically going to be used for informational purposes, either internally for management or externally as graphics on a website for example. These are often sub-standard, generated in Excel by someone who perhaps does not quite know what they are doing. Static data visualisations can be dramatically upgraded - customised to integrate business logos and branding at the click of a button.
Interactive visualisations may leverage existing tools like Tableau, or be customised using scripting languages like Javascript. Again, these may be for internal use or for public consumption on a website. Making interactive data visualisations can help to tell part of the story through basic elements like simple captions, or could use a novel user experience to become truly memorable.
Real-time visualisations are mostly used for internal business purposes in the forms of consolidated dashboards - compiling and showing critical data for management staff 24/7. These can leverage tools like Looker Studio or be completely built from scratch with the right data inputs.
Animated visualisations are best applied to illustrate changes over time, or the flow of information between key points. Animations require well structured data, and technical expertise to convert 2d or 3d data into the fourth dimension - time.
Geospatial visualisations map data across geographic features to help determine patterns and trends. This is extremely powerful for location-based services, real estate and logistics. Geospatial visualisations require specific datasets and knowledge of mapping tools, and can even be combined into animations to highlight changes in location based data over time.
Chat to Wallace Corporation about modernising how your business data is communicated through powerful visualisations today.
Data visualiation is an important consideration for any sort of business story telling - whether it is customer facing for explaining a marketing message, or for internal use - allowing management to make critical decisions quickly.
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