why business intelligence makes sense for midsize companies following the road map to success

8/4/2019 Why Business Intelligence Makes Sense for Midsize Companies Following the Road Map to Success

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Why Business intelligence Makessense for Midsize coMpaniesFollowing the Road Map to SucceSS

SAP Thought LeadershipBsss i


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content

4 Executive Summary

5 Why Business Intelligence 5 M gr 5 av S 5 S Fs

6 R Fs, n is 6 tk nx S

i

7 Deployment and Investment inBusiness Intelligence

7 Sr Sm B Sss

9 Use-Case Scenarios for theThree Phases

9 ps 1 (cr) Sr

10 ps 2 (wk) Sr10 us a h Qr ass10 ass d arss M

Srs11 ps 3 (R) Sr

12 Critical Requirements for aBI Solution

12 Sr prvsv us Bsss i

12 a cmrsv Fr12 es us12 ab ass irm

tr Mrs ex13 l cs ors w

Sr gr13 h Sap arsss ts

Rqrms

14 Summary14 Fr Mr irm


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4 SAP Thought Leadership w Bsss i Mks Ss r Msz cms

executive suMMaryuSing BuSineSS intelligence FoR gRowthand pRoFitaBility

Ms r rrss s mrv r rv rb b bsss (Bi). B r sm r msz rrs(SMe), s vsm bsss mk

ss r ?

i s r, sss bsss b r SMe rz r r b vr- s r srs. Bsss s b k m r it r. hvr, vs bsss , r r

x s s vrs

ms Bi v sss? wsr r m sr sm, kr sss, b s mk -bs Bi-rv s mk rv-sv r m.


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5SAP Thought Leadership w Bsss i Mks Ss r Msz cms

b s rm, mr k r mk s ss r rrmrsr mk rr ss bsr b rrm s rs m b

r b s .

Staying Focused

uk r ms, r rz- ss rr r rs srvs s m mbr rsrs. as rs, v m rm r rrrs. ts rqrs r rz ss vr s r smrs, rs, mrk. c sss s

vr m sm , s sm s ssms, s smvrs r.

Fr xm, ms r-, ss, , mrk s sm ss mrk rs, qrr ss rrm, rb b vrs sms, r mr k sr smss b rrs mxmz r x rbm

rs.

as xv sm r mszrrs (SMe), qs s r r-s r m. yr rss s s s rb rmrkb sss

r srvv. Sm qs vv r,s, s.

Maintaining Growth

prb ss r sr r SMe. ors rskr b m rrv b m-rs r b s b rrm. hvr, rb rs b m vrs

v r ss. p r vrs ss bssrqrs r ss r bs-ss, s rrz ms mr sss mk rm ss rss m rv.

Fr xm, r r r-s rs, srsms, smr rs r r rs rv s r m

mr rsrs r m rv r sr rzr. t bss s b b mr v r rm vsms r vr x rs ss rs r sr br r r.

Achieving Speed

as SMe, b mv sr rr ms k v- mrk rs r bs vs.

hvr, r rz s m

rsrs, r mvqk r r. tkv s rqrs v r vsb s rk, s b z qk, s rk, s b rss r.

Fr xm, v vsb -vrss- rv, ss, s r rs r s 12 ms, s r rrmrs qks s rm m r sss r rss. w

Bsss bs srr sb rv vr mr

r rz sm vrs r, s r s m

b sr r-s, ss b m.

Why Business intelligenceaddReSSing youR Key challengeS


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Relying on Facts, Not Instinct

Bsss (Bi) s rrr s s sr s br rs, z, vr s rr r

m. Bsss s r rm , m-r, ss ssms s m rm srb s rm s , . ts bsvr mr r m mk m br-rmss.

Bsss vs s v b x

s sr s rk

s rk bss. B s m rbsss, rrz rr r r r.

Bsss bs srr

s b rv vr mr r rz smvrs r, s r s mb sr rs, ss b m.i , bsss ss br r rb r brv r mrs - ss r bsss,s vr s r s r rs mkss bs s rr

ss.

Taking the Next Step Intelligently

o bsss r rz, r r mm x s ss

rr s vrsms Bi ? assm Bi , b rm r m s r rss Bi ms. S rm bs sr sm (r),xr k r sss, b s mr vrs b -mss Bi ms (k), s -bs s mk bms

rvsv r m (r).i x s sss vrs Bi ms rm r s mm.

y b rm r m s r rss Bi ms. S rm bs sr sm (r),

xr k r sss, b s mr vrs b -mss Bi ms (k), s -bs s mk bmsrvsv r m (r).


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t s Bi s qbr. Sm r b Bi s: Rr srs r

r s rs b rr s r m

dsbrs mm rrb s rm rvs mr

av qr ss s srs s v rss msss r mss, ss r, smr, , mr, ssrs

Sr-bs qrs b srs s rm vrs ssms bs

kr srs s rr s sr r s

d r q Bi sr rmm srs sr s m r r rs

t r Bi ss m vr rm srm, r s

s r r xvsbrs sks, r srm, r s rv-sv v sks, s, mbvs s s mk vs m.

Starting Small and Building onSuccess

i r m it rsrs, sm it b, b r xv s k m vs sms, rmm brk

mm Bi svr ss. y sr sm, mb ss; v b- sss; b sss. S r rvsr rz r sm

b, r msks r x-sv. i , s srs sss r rm Bim b b r r brr m-Bi mm, rrzs-m rs rrs mm sss.

deployMent and investMent inBusiness intelligencetaKing the RightS StepS in the Right oRdeR

Figure 1: Three Phases of BI Deployment

Phase 3: Make BI pervasive

Expansion of ad hocss Mobile BI

Phase 2: Get an integratedview of operations Operational dashboards Operational reporting Search-based query Ad hoc analysis (initial)

Phase 1: Become com-fortable with businessintelligence (BI) Executive dashboards Simple reporting


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Frm r xr, r r rss Bi m, s s Fr 1.

Phase 1 (crawl) t bjv ss s r rzs bm

mrb Bi . ys s sss Bi v mm- m s mk, rv bss r r-z r. Fr s s, rmm xvsbrs sm rrrs s Bi .

Phase 2 (walk) t bjv ss s b sss

s 1 x s Bis r rz bmsmrb s vrs s ss rm Bi (sbrs rrrs) r s mk rssvrs s. i s s

r rz s mmr rr, rsbrs, sr qr, ss. Fr xm,mm r sbrsr rss- rsss, s

s rr vr, rqrs r- rm m ssms rv mrs rv r rs mkr- ss.

Phase 3 (run) t bjv ss s v rvsv s Bims s s mks bs s rr .SMes s s x Bi m-s mb vs r

qr ss bsssss rms.

i x s r s-s srs s SMe s Bi s r ss.

yr Bi s s

mk xrm s r

r r m

k s s

rrs, qrs, s-brs rr b

k r bs-

ss ss rm r

bsss s. ts

rqrm s r s

r it rsrs m b

m mrs

ms r

m.


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yr s Bi s s r r ss s mrs, r r bsss(s s mr, srb, rsrvs), r sr (s s -rs, sr rs, r-

m, r srvs), r kbsss r rvrs (ss b rrm, s mx, r r v), r v mr s - r vrm. Fr rs sr s r, s msz m mks ss r smrrs r r ss rs s r srbrs. t rr rvr r r xm m-

s m srv-vrvs smr .

Phase 1 (Crawl) Scenario

w r xm SMe mms Bi s 1, s kxv sbrs bsrm rrs s s

r ms srv vr m . as rs: t Vp ss s k

rrs r vrs ss rs s.

t Vp s krr rv rm rr smrs, rvbs, bs. a xv s-br rvs vsb b-vrss-s r rv xss vrs vs .

t ceo s v ss xv sbrs s s ss k-vr-k s; rv r k,m, r qrr b rs s; r rv

rm 50 smrs.

w Bi k s, ss bs b bsss s js k s r vb s mk r ssqk . ts sbs mm m v- v Bi vsms s-- bsss rs rm rss r-z mm

brr s s s b rm .

use-case scenarios for thethree phasesilluStRating how Bi technologycan Be uSed By SMes

irm rqr r r sm rs s r

r r bsss ssm, s s srss, -m srvrs, r v bss. a v

Bi s s mk vr sr rr s rm rrs sbrs mx ssrm rm s srs.


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us a h Qr assexvs rrm sr-bs ss b r krs,s s ss s r, sr bx. t sr Bi sr s rss

ms rv rss rs m rs vsz,s s b r br r r, m rss rm rqr rvs kb srr r r . us v sr r(s Fr 2), xv rk ss srs b r ssrv, r r rv, rm ms mk s mbrs b s r

vm r-mr rs. ws rm, xv

r s r-mrrs rm vs m b mv ss rz.

ass d arss M

Srsor sbrs, sr-bs ss, rr rqr m rm rmrrs rsr (eRp),smr rs mm(cRM), b ssms s s rm r srs,s s srss bss.

or xm SMe s vxrs br rm rm

m ssms k eRp cRM s Bi s. hv s

Phase 2 (Walk) Scenario

w sss rm xv s-brs rr, v Bi rv, rss x s s v, r xm

SMe s rr - Bi ms mr br.i s s, s SMe r-z bs mm rrr, r sbrs, sr qr ss.as rs: t Vp rs s

r sbrs rrs rv -- rm vr rs s bm s r k smrs.

t rm s ss rrs sbrs r mrss, s- rjs, rm rrm vrssbs vrs vs .

t ss rz s ss r v, mmss, rrs, s s mr- sbrs ss rs , sb srb s, smr b sr, ss rs.Sr Bi sr srs

ss mr v rs sbrs rrrs r s r r ss m.

exv sbrs rv r-m rb b smr,r , ss , r.

Figure 2: Search-Based Ad Hoc Analysis


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xrs, rz r Bi , s s ss, s mbr bsss ss. t rss ssr m x, bs Bi ss, s s Sap

Bsssobjs e Bi sr,m r m.

Bsss ss s - : V r ss rss m

mss, s s r ,smr , ss r, mr, ssrs

S k vrs mbs, s s ss r r s

m r rs smrrs s r prrm r-vr-r r r-

vr-r mrss r msss s ss r, smr, rssrs

Fr k 15 rbm 15 (r r mbr) rbs- r rs-rrm rs,ss srs, r ss

w s ss, bsss ss mk s rmms

Vp ss Vp mrv vr ss rrm.

Phase 3 (Run) Scenario

i s s, rzbs s br s Bi -s rss vrs rzs.Bs s sss, r s

s b mk Bi rvsv m, mbvs, s r rv -ss. i s s, r xm SMerz bs vr Bi smr s mk sr ss.

Fr xm, m smr, Vp ss rrm srs qrs smr

s m rv m s mk s mbrs, rb r s b, smr s rms r rss. w s , ss mr

r r 15% s smr r s rsrr br qrr.

i , rz srs r qr ss rm bsss ss s s rvsv, b vr rz mk br-rmss mr qk.

Msz rzs v m rsrs, s Bi s s vr s rsr --s r. i , s s rv ms r s sm r r smrrs, qrs, sbrs, m r xsv s ss. tBi s s s v rv ms

b s r b sr.


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mx ssrm rm s srs.

ab ass irm trMrs exMs xvs r r r

mrb s Mrs ex r qk ss. as rs, mk sr r Bi s xr Mrs ex rs sks. S s s rv vss bsss srs (s Fr 3).

rm r bsss s. tsrqrm s r, s r itrsrs m b m mr-s ms r m.

Frrmr, rm rqr rr s m rs sr r r bsss ssm,s s srss, -msrvrs, r v bss.a v Bi s s mk vr s r rr srm rrs sbrs

Supporting the Pervasive Use ofBusiness Intelligence

i rr r SMe sr sm xv sbrs bsrr r rvsv

sr s , Bi sms m svr rqrms.

a cmrsv Frprs r ss Bi - srr- r sbr-rs mrk. hvr, , rr b m rs b m sk ss xsvrs r SMe.

n s s s b b k r r ss rm r r k r s vrs ms r v br rs r r -. t s s s b b s s mr rssr rz.

es ust Bi s s mk xr-

m s r r r mk s s rrs,qrs, sbrs bk r bsss ss

critical requireMents for a Bi solutiongaining the edge

Figure 3: Improve Productivity by Accessing and Refreshing Data with Microsoft Excel


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as rs, r rz srsm r sr sr rqrms, k, xrs rs. t sr ss s bsss srs r m rrs, qrs,

sbrs rsr rm r r it s rxsv r-r ss. i, sr rvs s rs, r rr rSMes. as rs br r, b srs r r mrrs sbrs, s rs, Sap Bsssobjse Bi s bm rs sr.

l cs ors wSr grMsz rzs v mrsrs, s Bi s svr s rs r--s r. i ,

s s rv ms r s sm r r sm rrs, qrs, sbrs, m r xsv s ss.t Bi s s s v r-v ms b s r b sr.

How SAP Addresses TheseRequirements

Sap vrs vr m Bis r SMes r SapBsssobjs e Bi sr.ts r s SMes -- rm mrm ssms mrv smk r rz. irvs mrsv Bi , qr, rr, ss; r Mrso Srp ss; s r rs

xr srs .


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Sap Bsssobjs e Bi bsSMes vr r r srs,s s s s, b bm r ss r m m r-v , rrz, rss

sss; mrv rz m; rsr z. y s r m rv sr sr sm, xr kr sss, b s -bs smk bms rvsv rr m.

Fr Mr irmt Sap Bsssobjse Bi sr r r-

z r rvsvbsss , rSap rrsv r r wbs .s.m/ss/sbsssbjs/sm/srs.

suMMaryachieVing peRVaSiVe, Fact-BaSeddeciSion MaKing
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15SAP Thought Leadership Bsss i


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why business intelligence makes sense for midsize companies following the road map to success

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