The amount of data whether it is unstructured and structured that is being generated from an increasing number of sources – from people transactions or social media interactions, to machine-to-machine (M2M) communication – has changed the complete environment and hence the organizations way of thinking about the usage, collection, analysis and representation of data is gaining critical traction.
Data Experiences are discreet – While designing data driven interfaces most of the enterprises still get lost in myriad of Investments in creating data marts, creating roles to analyse data, identify patterns and believing that that more data will help them in more focused insights, not realizing that we do not need huge data sets but very few data sets to identify trends.
For any data driven approach one needs to be cognizant of the fact that it depends
on who this data is going to be served -
design the data for different personas, as a result the starting point for any data design approach is to figure
out the various stakeholders - c Level executives, Managers, data scientists, analysts.
Your visualization techniques need to address the requirement for the personas you
are designing for. There has to be a distinct style for the interface designed for different levels.
While at the c level you may want to have a lot of comparisons and scenarios built –
from last month or quarter but when it comes to Managers the daily trends hold quite importance.
Any variations need to be known and addressed as soon as possible. An example can be