Tellius.Inc | PoojaBUpadhyay

Let us help to

tell data story

Search and AI-Powered Analytics Platform

- Design Process -

Understanding problem

1

2 Competitive analysis

3 Identify opportunity area

4 Design & implementation

The common

problem about data

User wants to know more about business like what is going on? and why?

Human eyes and brain get framed after one point, they don't know what to ask and what they are looking for.

Wherelse, data has all the answers but no humanized way to explain the personalized story.

Competitive analysis

Business intelligence platforms allow business users to search for anything about their business and get answers. Also helps to analyze data and reveal actionable insights that can help improve decision making and inform business strategy.

But currently, available tools keep the ease of use on a side, which is vital to have a satisfying experience.

Here are some BI tool positioning analysis plotted on four factors to understand the user experience

This analysis helped to identify where Tellius should be

BI & Data visualization trend

2019

1. Humanize your data to relate with it

No one wants to read sheets or view graphs, bring context with it so one can relate and digest easily.

2. Data collaboration and interaction

When we humans interact with data, data responses to bring a meaningful conversation on the surface.

3. Bringing data out of their silo

Provide an opportunity to the user to play with data and see what all they can make out of it. Instead of traditionally searching and creating dashboards.

4. Data-driven culture to storytelling culture

Data tells many stories and proper presentation of visual answers smoothens the decision

making process.

5. Have a conversation with your data

Familiarity and awareness of business data are vital. A platform should bring an opportunity to the user to converse with their data in a way like having a conversation with a friend.

How to achieve this?

The goal of Tellius platform is to make business users aware about "what?" question helps to find interface expectations, while "why?" question drives the desire to know more.