26 August 2014 - 21:35Why are technical companies not using data science?
Here’s a quick question. How come more technical companies aren’t making use of data science? By “technical” I mean any company with data and the smarts to spot that it has value, by “data science” I mean any technical means to exploit this data for financial gain (e.g. visualisation to guide decisions, machine learning, prediction).
I’m guessing that it comes down to an economic question – either it isn’t as valuable as some other activity (making mobile apps? improving UX on the website? paid marketing? expanding sales to new territories?) or it is perceived as being valuable but cannot be exploited (maybe due to lack of skills and training or data problems).
I’m thinking about this for my upcoming keynote at PyConIreland, would you please give me some feedback in the survey below (no sign-up required)?
To be clear – this is an anonymous survey, I’ll have no idea who gives the answers.
Create your free online surveys with SurveyMonkey , the world’s leading questionnaire tool.
If the above is interesting then note that we’ve got a data science training list where we make occasional announcements about our upcoming training and we have two upcoming training courses. We also discuss these topics at our PyDataLondon meetups. I also have a slightly longer survey (it’ll take you 2 minutes, no sign-up required), I’ll be discussing these results at the next PyDataLondon so please share your thoughts.
Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight, sign-up for Data Science tutorials in London. Historically Ian ran Mor Consulting. He also founded the image and text annotation API Annotate.io, co-authored SocialTies, programs Python, authored The Screencasting Handbook, lives in London and is a consumer of fine coffees.