Data science news

The Art of Winning an Unfair Game” by Michael Lewis, the movie tells the story of how Beane single-handedly changed the face of base­ball us­ing data ana­lyt­ics 

In Bennett Miller’s Oscar nom­in­ated movie Moneyball (2011), Brad Pitt plays the real life char­ac­ter of Billy Beane, the gen­er­al man­ager of the Oakland Athletics, a strug­gling team in Major League Baseball (MLB) in the United States.

Based on the book, “Moneyball: The Art of Winning an Unfair Game” by Michael Lewis, the movie tells the story of how Beane single-handedly changed the face of base­ball us­ing data ana­lyt­ics in his quest for be­com­ing a suc­cess­ful team on a small budget, com­pet­ing again­st teams with massive payrolls such as the New York Yankees.

With the emer­gence of data min­ing and the field of ana­lyt­ics, known as “Big Data”, the vast amounts of stat­ist­ics that are col­lec­ted for each play­er, team, game, and sea­son are be­gin­ning to have new mean­ing that is bey­ond just a cu­mu­lat­ive meas­ure of an athlete’s or team’s per­form­ance. Data min­ing can be used by sports or­gan­isa­tions for stat­ist­ic­al ana­lys­is, pat­tern dis­cov­ery, as well as out­come pre­dic­tion, be­cause pat­terns in data are of­ten help­ful in fore­cast­ing fu­ture events.

In a pivotal scene from Moneyball, the char­ac­ter Peter Brand (Jonah Hill) says to Beane, “Baseball think­ing is me­di­ev­al. It’s stuck in the Dark Ages. I have a more sci­en­ti­fic view of the game.” And sci­ence is what made all the dif­fer­ence.

From the mail to McDonald’s, big data is all around us 

Big data helps mail your let­ters, it makes your bur­gers bet­ter, and it al­lows in­tel­li­gence agen­cies to piece to­geth­er dis­par­ate pieces of data in­to in­sights that might help them foil the next ter­ror­ist at­tack.

Big data early ad­op­ters were a hot top­ic March 12 at the Armed Forces Communications and Electronics Association’s second an­nu­al Big Data Technology Symposium, as speak­ers briefed an audi­ence of in­dustry and fed­er­al ex­ec­ut­ives on busi­nesses and agen­cies already mak­ing use of big data.

Noteworthy private sec­tor suc­cesses in­cluded:

  • McDonald’s us­ing vast amounts of op­er­a­tion­al data to auto­mate the in­spec­tion of its bur­ger buns, per­fect­ing “prop­er seed dis­tri­bu­tion and col­or”
  • Healthcare pro­viders cre­at­ing mo­bile ap­plic­a­tions for doc­tors that in­clude pa­tient ge­net­ics, fam­ily his­tory, ref­er­ence data with com­par­is­ons to sim­il­ar pa­tients; and
  • Carpets that are sold with sensors that re­cord seni­or cit­izens’ every move­ment and at­tempt to de­tect ab­nor­mal­it­ies that could sig­nal a health is­sue.

Is health­care fi­nally ready for big data, ana­lyt­ics?

Healthcare or­gan­iz­a­tions and pro­viders are matur­ing in their abil­ity to use clin­ic­al in­tel­li­gence as a means to im­prove the care of pa­tients, the busi­ness of provid­ing care, and the pro­cess of re­port­ing clinically-relevant med­ic­al in­form­a­tion to pub­lic health agen­cies and oth­er or­gan­iz­a­tions charged with man­aging the health of whole pop­u­la­tions. “The prom­ise of mean­ing­ful use is that this data is go­ing to be avail­able for them to man­age care, im­prove qual­ity, and re­duce cost,” says John McInally, former CIO and cur­rent Partner of Healthcare Big Data and Analytics Group CSC, in an in­ter­view. 

Improving or­gan­isa­tion­al and na­tion­al se­cur­ity with big data

There are three main areas that big data can af­fect and im­prove se­cur­ity and in the com­ing years big data will have a big im­pact on se­cur­ity is­sues world­wide and the way se­cur­ity is man­aged and handled. Some will be lo­gic­al and oth­ers might be con­tro­ver­sial, but big data will for sure im­pact the way we look at se­cur­ity.

1)Organisational se­cur­ity
Employees’ Security
Prevention of Fraudulent ac­tions by cus­tom­ers
Prevention of or­gan­iz­a­tions be­ing hacked

2)Public Safety

3)National se­cur­ity

Big data in­vest­ments ramp, says Gartner

Forty two per­cent of tech­no­logy lead­ers are in­vest­ing in big data pro­jects or plan­ning to spend with­in the next year, ac­cord­ing to a Gartner sur­vey.

The up­shot is that 2013 will see big data pi­lots in 2012 go pro­duc­tion. As those use cases pro­lif­er­ate by ver­tic­al, more com­pan­ies will hop on the band­wag­on.

Gartner noted that most com­pan­ies are in the early stages of big data ad­op­tion. Many pro­jects are re­volving around rev­en­ue and busi­ness op­por­tun­it­ies that can’t be solved via tra­di­tion­al data sources.

According to Gartner, 20 per­cent of glob­al 100 com­pan­ies will have a fo­cus on in­form­a­tion in­fra­struc­ture com­par­able to ap­plic­a­tion man­age­ment.

Leave a Reply