How Did We Arrive At This?
From the early days, narrating insights as data stories was a part of the Gramener culture.
An early example was the discovery that children born in June score lower marks than those born in August. The insight was, that this was driven by the children's age (August-born children miss the July date cutoff, and join school 11 months later, becoming the oldest children in the class).
How Did We Move Forward?
The abive discovery was followed by similar discoveries in weather (how one district has counter-cyclical weather), literature (how characters relate to each other), politics, sports, and others.
We extended these to our clients in the form of visual analytical applications across Media, Pharma, Public sector, Technology & Consulting, and many others industries.
How Did We Help Our Clients Through the Journey?
To help our clients understand the offering, we rode on the wave of popular technologies. Big data was the wave in 2011-2014. Data science was the wave from 2015-2018.
But data storytelling has finally emerged, with analysts such as Gartner recognizing it as a theme. We now recognize what we have been doing for nearly a decade as narrating insights as data stories.