Data Analysis and Visualisation Consultant at a consultancy with 51-200 employees
Consultant
2016-01-27T09:48:14Z
Jan 27, 2016
Clarity, any data visualisation should be easy to understand. Try to reduce clutter and make sure it relays the message. Still there is something important about style and how eye catchy it is but that is more to do with user preferences and in data journalism.
Create a matrix of capability vs cost. To identify the ideal platform for your organisation or department or project.
Capability list should be created by mixing business use cases, architectural inputs, support model and security parameters.
Should go without saying, but, we sometimes get lost in the minutia.
The most important metric or chart/visualization should be using size/color/location to draw the focus of the reader.
Combination ease of development to gain quick insights and the ability to code more advanced data analysis when neede.
User friendly and easy to build
@Saurabh Deora thanks for weighing in :)
Clarity, any data visualisation should be easy to understand. Try to reduce clutter and make sure it relays the message. Still there is something important about style and how eye catchy it is but that is more to do with user preferences and in data journalism.
The ability to help people put the data into a day-to-day business - generating actionable insights and metrics.
How many views and layout styles the software has.