The presentation for our final project for my Information Visualization class. Small teams of students were assigned to real firm clients who were interested in better understanding a huge inventory of data they'd amassed. Our client: Third Wave Fashion. Our big question: What fashion-tech start-up traits (i.e. number of founders, gender of founders, geographic origins, etc) strongly affect how much funding it receives? Though the main deliverable was an interactive Tableau Dashboard, this presentation was also shared with TWF in order to show our design process and propose a new strategy based on our visualization's main insights.
13. Problem: Global & Industry-Wide
Not Enough Female Entrepreneurs
Global Entrepreneurship Monitor 2012 Women’s Report. Babson College.
14. The Fear of Failure…
…Yet More Innovative
% of Female TEA and
Established Business Owners
with Innovative Products or
Services by Region
Fear of Failure for Those
Seeing Opportunities for
the F and M Adult
Population by Region
Global Entrepreneurship Monitor 2012 Women’s Report. Babson College.
15. Possible Solutions
”In the United States, for example, women-owned firms are growing at more than
double the rate of all other firms, contribute nearly $3 trillion to the economy and
are directly responsible for 23 million jobs. In developing countries, female
entrepreneurship is also increasing—there are about 8 million to 10 million formal
small and medium enterprises (SMEs) with at least one female owner.”
–World Bank
EDUCATION FINANCE TECHNOLOGY
Enhance what TWF’s already doing…
giving women better access to:
16. Next Steps: All-Out Campaign
Spread Awareness
Entrepreneurs Live in Their Own Subcultural System…
It’s Time to Reach the Masses
POSTERS APP / SOCIAL MEDIA TELL THEIR STORY
CHLOE– Overview of company (based on what we found on their site)
DENNIS – First meeting – ‘revised’ client overview, based on our Skype meeting (i.e. they now work with brands as well and try to partner them up with start-ups.)
ANNE - Here’s a screenshot of the raw data Liza sent to us. Obviously, it wasn’t filled out very well – column titles were missing, as well as cell values (especially in the “Funding” category). Our first step was to go in and ‘clean up’ this data, adding the missing values…
Talk about coming across variations across firms, and the challenge of addressing these in the data – i.e. “firms which sites were down”, “acquired”, etc. Then note that although there’s a column for “Founders’ Names”, this doesn’t help us see GENDER – so we had to make another column – “M/F/B” to capture that…
ANNE
DENNIS – Explain your process / results.
CHLOE – Explain your process / results.
Dennis – Talk about Liza’s feedback.
ANNE - MORE DATA CLEANING…
ANNE
DENNIS
ANNE can cover the rest… (TEA – Total Entrepreneurship Activity) since I just made these slides. But feel free to chime in when u know something that’s related!!!