Talk To Your Data
Talk to your data – what do we mean by that?

We have all heard it said that one picture is worth thousands of words. Yet, if this statement is true, why does it have to be a saying? – Walter Ong, Orality and Literacy Imagine you are staring at a dashboard like this. Like many of us who actively use data and insights for our...

Revolitionize Analytics
How Language could revolutionise Analytics.

Since the genesis of computers, one of the major question that has driven the evolution of the digital device is – How would Humans interact with the Computers? Especially in today’s scenario, when most of the tasks we do today with personal computers or mostly with our smart phones is to get an answer or...

Responsible Ai
Responsible AI

What is Responsible AI? Responsible AI is the practice of designing, developing, and deploying AI with good intention to empower employees and businesses, and fairly impact customers and society – allowing companies to engender trust and scale AI with confidence. Source While the opportunities of AI are for real, primarily to augment human beings, with...

Art Of Questioning
The Art of Questioning

In a world that is tackling with exponential growth of data, it is extremely important to have the right tools to ask the right questions, to have the right answers for decision making. This need brings in a new imperative in the form of new expectations on the typical BI tools of today. As enterprises...

Dashboards Are Not Dead
Dashboards are not dead

There has been an increasing chatter around this topic whether Dashboards are dead. Just google it around and you will find so many diverse perspectives on this topic, both for and a bunch of nay sayers as well. Are they really? So, what is a Dashboard? If you have worked on the area of Data...

Learn To Ask
Learn to Ask.

What’s the whole purpose of any data driven organization? To make the data easily accessible or deliver information to users within. Simple, right? Not really. In an attempt to achieve this simple goal, most of the organizations end up complicating the journey, thereby reaping very less outcome for all the investments made on the Data...

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