Hi Pine, It might be because of the alcohol I've ingested these last days, but - what are you proposing exactly?
Hapy new year, strainu 2012/12/30, ENWP Pine <deyntest...@hotmail.com>: > > > > I'm sending this to Wikimedia-l, Wikitech-l, and Research-l in case other > people in the Wikimedia movement or staff are interested in "big data" as it > relates to Wikimedia. I hope that those who are interested in discussions > about WMF editor engagement efforts, WMF fundraising, or WMF HR practices > will also find that this email interests them. Feel free to skip straight to > the links in the latter portion of this email if you're already familiar > with "big data" and its analysis and if you just want to see what other > people are writing about the subject. > > * Introductory comments / my personal opinion > > "Big data" refers to large quantities of information that are so large that > they are difficult to analyze and may not be related internally in an > obvious way. See https://en.wikipedia.org/wiki/Big_data > > I think that most of us would agree that moving much of an organization's > information into "the Cloud", and/or directing people to analyze massive > quantities of information, will not automatically result in better, or even > good, decisions based on that information. Also, I think that most of us > would agree that bigger and/or more accessible quantities of data does not > necessarily imply that the data are more accurate or more relevant for a > particular purpose. Another concern is the possibility of unwelcome > intrusions into sensitive information, including the possibility of data > breaches; imagine the possible consequences if a hacker broke into > supposedly secure databases held by Facebook or the Securities and Exchange > Commission. > > We have an enormous quantity of data on Wikimedia projects, and many ways > that we can examine those data. As this Dilbert strip points out, context > is important, and looking at statistics devoid of their larger contexts can > be problematic. http://dilbert.com/strips/comic/1993-02-07/ > > Since data analysis is also something that Wikipedia does in the areas I > mentioned previously, I'm passing along a few links for those who may be > interested about the benefits and limitations of big data. > > * Links: > > From the Harvard Business Review > http://hbr.org/2012/04/good-data-wont-guarantee-good-decisions/ar/1 > > > From the New York Times > https://www.nytimes.com/2012/12/30/technology/big-data-is-great-but-dont-forget-intuition.html > and > https://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.html > > > From the Wall Street Journal. This may be especially interesting to those > who are participating in the discussions on Wikimedia-l regarding how > Wikimedia selects, pays, and manages its staff. > http://online.wsj.com/article/SB10000872396390443890304578006252019616768.html > > > And from English Wikipedia (: > https://en.wikipedia.org/wiki/Big_data > and > https://en.wikipedia.org/wiki/Data_mining > and > https://en.wikipedia.org/wiki/Business_intelligence > > > Cheers, > > Pine > > > _______________________________________________ > Wikimedia-l mailing list > Wikimedia-l@lists.wikimedia.org > Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l > _______________________________________________ Wikimedia-l mailing list Wikimedia-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l