Overview

Business nt ll g n (BI) l v r g ftw r nd rv t transform d t into t n bl insights th t inform an organization's strategic nd t t l bu n decisions. BI tools access and n l z d t t nd r nt n l t l f nd ng n r rt , summaries, d hb rd , gr h , h rt nd m to provide u r w th detailed intelligence b ut th t t f the business. Th term bu n intelligence often also r f r t a r ng of t l that r v d u k, easy-to-digest access t n ght b ut an rg n z t n' urr nt state, based n v l bl d t . Alth ugh bu n nt ll g n does n t t ll bu n u r wh t to d or what w ll h n f th t k a rt n ur , n th r is BI l l b ut g n r t ng r rt . Rather, BI offers a w f r l t x m n d t t und r t nd tr nd and d r v n ght b streamlining the ff rt n d d t search f r, m rg and u r the d t necessary t m k und bu n d n . For x m l , a company that w nt t b tt r manage t u l h n n d BI b l t t d t rm n where d l r h n ng nd where variabilities x t within the shipping r , Chr H g n , v r d nt of r t n f r WCI C n ult ng, a consultancy focused on BI. Th t m n could l u its BI capabilities to d v r wh h r du t r m t mm nl d l d or wh h m d f tr n rt t n r most ft n involved in delays. The potential u for BI extend beyond th typical business performance metrics f improved sales nd r du d t , Cindi H w n, r r h v r d nt t G rtn r, n IT r r h and dv r firm. She points to th C lumbu , Oh , h l t m nd t success using BI tools t examine num r u data points - fr m attendance r t t student performance - to m r v tud nt learning nd high school gr du t r t . Execution f a successful business intelligence tr t g r u r a strong rg n z t n f how d t u d from start t f n h: - D t ll t n: A bu n n d t understand wh r they can ll t data from v t r nd u t m r , and h w th n b rg n z d nt a f rm th t n b n l z d. - D t t r g Data r l v nt t bu n r numerous and ft n l rg n scope. In order to be u ful, that d t mu t b stored in a place th t data t k h ld r can r l bl , u h as n a SQL d t b . A storage solution h uld always b u -t -d t th t a company can t on h ng n d t u kl . - D t analysis: Th core f business nt ll g n focused on descriptive nd d gn t analytics, wh h n w r u t n f where your company h been, wh r t n w, nd why th ng r the w th are n w. BI tools n d t b able to draw fr m data storage t conduct th d ff r nt types of analyses. - Data r rt ng: All f our data nd analyses w ll d no good f they do n t reach d n m k r and other t k h ld r . BI h uld convey data nd n ght in ways th t l w th l nt xt can t ll quickly und r t nd nd use them t m k d n . In rd r to x ut th t , mult l t l nd r du t n d t b employed.

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