Creating Meaningful Connections
Imagine you are interested in entering data visualization field, but don't know where to start.
Imagine you are interested in entering data visualization field, but not sure where to start. After months of online courses, reading every book you can get and watching countless tutorials, you finally decide to take a leap of faith to go to a data visualization social event. Your heart is racing with excitement and nerves.You are overwhelmed stepping into a room full of potential connections at the event, each may potentially lead to an opportunity; each has their unique expertise and preferences in tools. However, the clock is ticking, you only have limited time for networking who can introduce you to your next big opportunity, perhaps a mentor or a collaborator for an amazing project, especially someone who can open doors for you to opportunities.
That's where our innovative approach comes into play. In this explanatory data visualization, we have analyzed the data and made it very simple to guide you to identify an ideal conversation partner at any data visualization meetup or social event.
The Profile of Potential Connections
Note: The data has been transformed and simplified for a general audience.
Now that you have explored who the key players are in the field, integrating the following four simple questions about occupation, tool usage and preferences into your networking conversations at social events can quickly help you identify whom you should be talking to.
1. What's Your Role ?
2. How Many Tools do You Usually Work with, Given the Role and Work Experience?
3. Which Data Visualization Tools do You Use?
Oh, you don’t just stop at asking around. We've also identified the top three tools that data viz professionals in various industries seem to prefer across the board. So, you can come off as smart pants to make the conversation meaningful.
4. What are the Top 3 Go-to Tools That You Enjoy Using and Often Use at Work?
With our extensive analysis of the datasets, the Querberos team discovered that most professionals predominantly use 7 key tools and generally hold a role in a company, boasting 1-5 years of experience.
Here are the 7 key tools: Tableau, Excel, Power BI, Adobe Illustrator, D3.js, R and Power Point.