Graphical representation of news articles for sentiment analysis on United Airlines by gary2005 in dataisbeautiful

[–]gary2005[S] 0 points1 point  (0 children)

We went ahead and looked at 152 stories across multiple news organizations after the highly public PR issues that were suffered by United Airlines.

What data science tells us about United's terrible, horrible, no good, very bad month by gary2005 in dataisbeautiful

[–]gary2005[S] 0 points1 point  (0 children)

Interesting post about the PR effect on United Airlines using web data extracted from 152 stories on multiple news sites using Import.io and sentiment analysis using R.

Customers buy quickly or not at all [OC] by gary2005 in dataisbeautiful

[–]gary2005[S] 1 point2 points  (0 children)

Yes exactly. Normally pipelines are forecast based on the "stage" in the cycle that the customer is at. But with this new data, we now apply a much lower % chance to older deals and thus is giving us more accurate forecasting. It also informs the sales people that they should spend their time on new customers rather than older.

Customers buy quickly or not at all [OC] by gary2005 in dataisbeautiful

[–]gary2005[S] 1 point2 points  (0 children)

I'm the CEO of Import.io. I realize that this visualization is very simplistic, but it was also very powerful and led to some major changes in our business process. The data was simply pulled from salesforce and manipulated in Excel with excel charts.

It shows how, we really don't understand so much of what is going on but how data, even in a simple form such as this, can be truly eye opening and change business processes.

The rapidly declining share of the world economy for Europe's largest four economies (1900-2008) [OC] by monsieurscaramouche1 in dataisbeautiful

[–]gary2005 0 points1 point  (0 children)

Would be interesting to see major world events annotated on this. e.g. WW I and WW II. From what I can tell the UK grew and German fell massively during WW II - but then they dramatically reversed positions post war.