, ▁which ▁is ▁often ▁term ed ▁“ bus iness ▁intelligence ”, ▁has ▁come ▁out ▁as ▁new ▁software ▁and ▁hardware ▁that ▁enables ▁business es ▁to ▁gather ▁and ▁analy se ▁large ▁amounts ▁of ▁information ▁or ▁data . ▁The ▁analyt ics ▁process ▁is ▁made ▁up ▁of ▁gather ing , ▁anal ys ing , ▁data ▁manip ulation ▁and ▁employ ing ▁the ▁results ▁to ▁answer ▁critical ▁questions ▁such ▁as ▁‘ why ’ . ▁Anal ytics ▁was ▁first ▁applied ▁in ▁the ▁adm issions ▁department ▁in ▁higher ▁education ▁institutions . ▁The ▁institutions ▁normally ▁used ▁some ▁formulas ▁to ▁choose ▁students ▁from ▁a ▁large ▁pool ▁of ▁applic ants . ▁These ▁formulas ▁drew ▁their ▁information ▁from ▁high ▁school ▁trans cript s ▁and ▁standard ized ▁test ▁scores . ▁In ▁today ' s ▁world , ▁analyt ics ▁is ▁commonly ▁used ▁in ▁administrative ▁units ▁such ▁as ▁fund ▁raising ▁and ▁adm issions . ▁The ▁use ▁and ▁application ▁of ▁academic ▁analyt ics ▁is ▁meant ▁to ▁grow ▁due ▁to ▁the ▁ever - in cre asing ▁concerns ▁about ▁student ▁success ▁and ▁account ability . ▁Academ ic ▁analyt ics ▁primarily ▁mar ries ▁complex ▁and ▁vast ▁data ▁with ▁predict ive ▁mod elling ▁and ▁statistical ▁techniques ▁to ▁better ▁decision ▁making . ▁Current ▁academic ▁analyt ics ▁initi atives ▁are ▁bent ▁to ▁use ▁data ▁to ▁predict ▁students ▁experien cing ▁difficulty ▁( Ar n old , ▁& ▁P ist illi , ▁ 2 0 1 2 , ▁April ). ▁This ▁allows ▁advis ors ▁and ▁fac ulty ▁members ▁to ▁interven e ▁by ▁tail oring ▁procedures ▁which ▁will ▁meet ▁the ▁student ' s ▁learning ▁needs ▁( Ar n