The DVV of Dashboards

The popular quote “a picture is worth a thousand words” so it only makes sense that our data is given some sort of representation as we tell her story. Data visualization has been around for centuries, according to Wikipedia it can be traced to 1169 B.C. This is just one of the many data visualization origin posts.

Data viz cannot be tied to a specific field of study, from art to business and science. It seats as the bedrock of insights and innovation. Ever tried sketch noting? Or as commonly called visual note-taking? One is able to illustrate ideas using symbols and words.

Sketchnote by author @bigdataprincess

The sketch-note picture above describes how data is generated, visualized and insights which in turn results in innovation. The value of the innovation is in turn consumed by the some of the people who generated the data. This has you thinking how we influence the services you get right? That is the DVV(Data, Value and Visualization).

We have really stressed the importance of data visualization but what are the cons? Is there really one with a beautiful dashboard?. Aside from one of the major challenges of telling the right story to the right audience. Capturing the appropriate data during visualization is one of the most challenging issues. There is the risk of over-simplifying the data, hence losing vital information and of course using the wrong data chart..

With all said, decided to try my hands on creating a dashboard for this blog post. It is titled the quest for the nations heartbeat.

Dashboard created using google data studio by author @bigdataprincess

Gartner Top 10 Trends in Data has it that there will be a decline in dashboards with a mention about automation and “Data and analytics leaders need to regularly evaluate their existing analytics and business intelligence (BI) tools and innovative startups offering new augmented and NLP-driven user experiences beyond the predefined dashboard” Dashboards have taken a different dimension over the years. Popular data visualization software is Power BI, Google Data Studio, IBM Cognos, Tableau, Qlik amongst a list of others. Looking to start building dashboards? Excel is a good and simple way too. Need more in-depth with some analytics? Try one of the software mentioned and let me know what you think. Below is a snippet of a dashboard I created using Google Data Studio.

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