Data science news

Visualization provides decision-makers with the big pic­ture

“Good visu­al­iz­a­tions can help people to make good de­cisions, such as se­lect­ing a suit­able can­did­ate in elec­tions,” re­search­er Mikko Berg ex­plains.

Berg’s dis­ser­ta­tion be­longs to the field of me­dia tech­no­logy and com­bines cog­nit­ive sci­ence, psy­cho­logy and vis­ion re­search. The dis­ser­ta­tion ex­plores how the brain pro­cesses visu­al­iz­a­tion when the per­son handles com­plex data.

Berg ex­amined how the use of visu­al­iz­a­tion fa­cil­it­ates un­der­stand­ing by ob­serving how people used the on­line can­did­ate se­lect­ors cre­ated for the EU and com­mun­al elec­tions held in Finland in 2004.

Predictive Analytics: The Race is On

High-performance ana­lyt­ics (HPA) al­lows model­ers to work faster with full sets of data — not sample sets. This can provide the type of nu­anced ana­lyt­ics that al­lows an in­surer to be more suc­cess­ful in high-risk situ­ations, cre­ate in­nov­at­ive — and prof­it­able — new means of in­sur­ing cus­tom­ers, and re­spond to large-scale dis­asters in a more rel­ev­ant and cost-effective way.

Intelligent use of Big Data

Business Intelligence could un­lock of some of the es­tim­ated 85% of cor­por­a­tion data that is un­struc­tured ac­cord­ing to lead­ing in­dustry fig­ure Bill Inmon.

Big Data Bubbles Up Trouble!

Today Big Data has made the im­possible, pos­sible. Collecting and ana­lyz­ing un­struc­tured data types such as so­cial me­dia data, web click streams, net­work and data center logs is no longer a daunt­ing task. While Hadoop and MapReduce are the tech­no­lo­gies be­hind the scenes to crunch massive volumes of data, ad­vanced visu­al­iz­a­tions have be­come the art that show us the be­st (and wor­st) parts about our data.

British Columbia health care on the cut­ting edge of Big Data

Big Data can re­veal the over­looked neg­at­ive ef­fects of a drug or, con­versely, un­ex­pec­ted be­ne­fits and new treat­ments. It can lead us to in­sights in­to how a drug has worked over a vast pop­u­la­tion, en­abling re­search­ers to de­term­ine which doses are most ef­fect­ive, which are wrong-headed or per­haps dan­ger­ous. Tracking Big Data can help you find out if a med­ic­al pro­ced­ure really gets the res­ults we think and de­sire. Or it might re­veal dia­gnostic and treat­ment mis­takes we are mak­ing and sug­gest over­looked ways of im­prov­ing health care. Plug in ge­net­ics, a factor that of­ten in­flu­ences how medi­cines and treat­ments work on an in­di­vidu­al basis, and you are look­ing at the pos­sib­il­ity of be­spoke, ge­n­om­ic medi­cine – health care tailored to an in­di­vidu­al, in much the same way as a tail­or cus­tom­izes a suit or dress.

Big Data can and will save lives. And it will al­most cer­tainly save money.

Big Data for Retail is Flying Off the Shelves

The holy grail of re­tail has been to an­ti­cip­ate what con­sumers need even be­fore they real­ize they need it. There’s no bet­ter way to beat the com­pet­i­tion than to make an at­tract­ive of­fer and get a customer’s busi­ness be­fore they even real­ize they need your pro­duct, or con­sider eval­u­at­ing al­tern­at­ives.

Big Data Analytics Gold for the Call Center

Corporate call cen­ters and call center pro­viders are em­bra­cing new ana­lyt­ic tools to dig deep­er in­to the big data they gen­er­ate.

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