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Ana­lyt­ics is the dis­cov­ery, inter­pre­ta­tion, and com­mu­ni­ca­tion of mean­ing­ful pat­terns in data. Espe­cial­ly valu­able in areas rich with record­ed infor­ma­tion, ana­lyt­ics relies on the simul­ta­ne­ous appli­ca­tion of sta­tis­tics, com­put­er pro­gram­ming and oper­a­tions research to quan­ti­fy performance.

Orga­ni­za­tions may apply ana­lyt­ics to busi­ness data to describe, pre­dict, and improve busi­ness per­for­mance. Specif­i­cal­ly, areas with­in ana­lyt­ics include pre­dic­tive ana­lyt­ics, pre­scrip­tive ana­lyt­ics, enter­prise deci­sion man­age­ment, retail ana­lyt­ics, store assort­ment and stock-keep­ing unit opti­miza­tion, mar­ket­ing opti­miza­tion and mar­ket­ing mix mod­el­ing, web ana­lyt­ics, sales force siz­ing and opti­miza­tion, price and pro­mo­tion mod­el­ing, pre­dic­tive sci­ence, cred­it risk analy­sis, and fraud ana­lyt­ics. Since ana­lyt­ics can require exten­sive com­pu­ta­tion (see big data), the algo­rithms and soft­ware used for ana­lyt­ics har­ness the most cur­rent meth­ods in com­put­er sci­ence, sta­tis­tics, and mathematics.