hbaeslpe tuosetrcaanssela. te semantics. An ontology is a graph data- The So What and Who Cares? SHoe,rwe haaret dseoveesrtahl:is all matter? What is the business case? Market-Knowledge Graph . Demand latency (the time from purchase by the customer to order vis- ibility by the manufacturer) is weeks and months. Bmuoi dl deilni ngga omf ma rakrekt ekt ni no swi gl ehdt sg ea ng dr atpr he nednsa, bt lhees bt hu ei l d i n g of product profiles, and the visualization of demand shaping and shifting. Today, there is no good way to ca oc rnonsesc Vt et hn ed of lro Mw sa noaf gdeedmI annv de ndt aotray f pr or omg rcaums tso (mVeMr sI ) tphrroogur ga hm ss aal ensd ascacl oe su ne tx et ec au mt i os no pn rtoocpe sosf et sh et omdar ri vkee tai n g demand visibility signal of flow to be used by the rl aotleen. Mc yoisnt tchoemi rpdaanyi e- tsoa- dr ea yn od ti sacwu sasrieo on fs ,dneomr adnodt h e y have the ability to visualize and manage demand flow assumptions across the functional roles based on market data. A Quicker and Better Signal for the Customer. A unified NoSQL data model reduces the latency to dt hriisv en edeadt ae da ?c rTohs es nr oolde eosf abnadt cthr ai dn itne rgf apcaer st nt ea rkse. sWt ihmyei.s Ii sf ac uc rorme npta anny dwraenptrse as epnetrapt ievteu ao lf itnhveennet ot wr yo sr ikg, nt ha le t h a t unified data model allows roll-up in minutes, not hours. This technological advantage enables a quick response for Available-to-Promise (ATP) and Alloca - ti mi o pnrboavsi ne dg counsst oh mo ret ar greess.pDoenaslei ni sg two pi t ho fs mh oi rntda gi ne smaonsdt
169 NoSQL is not a panacea. The optimization engines are different, and the approach is inconsistent with current back-office processes. Visualization technologies are evolving. Tu shee ogfr at hpeh gi rs aapnhaat su ryaoludlaenacren paabrotunte Ar If oarnAd I e. vTohlivnek yoofutrh e processes to visualize flow, manage the reliability of r h e e l l a p t s io . nships, and improve enterprise sensing. I hope this I look forward to hearing from you. organizations. Trading Partner Graph. The deployment of graph technology to trading relationships enables insights on flows to aid in decision-making in supplier de - vTehl eo pt rma de int ti o, snuapl pE ll ieecrt rr oe nl i ai cb Di l iat tya, aI nn tde rEcShPa/nCgSeR( Eg oDaI l)s . approach enables transaction exchange but does not enable the visualization of flow or the sensing of trading partner reliability. Bi-directional Orchestration. Practical semantic rt ee gc roantci oi l ni a tt oi oinn teenraobpleersatbhi el i tmy , oevneamb el i nn tg f br oi -md i rdeacttai oi nn -a l fsliogwn i foi cpat inmt ivzaal tui eo ni n. Wt hheyni es ttwh oi sr nk ei se dme adk? i Tn gh ee fmf eoc st it v e trade-offs between source, make, and deliver. Today, wr eec oegmnbi tei od ne)ni ng itnreasd i(toi op nt iaml itzaaxtoi on no ,mAiIe, sa wn di t ph ai nt t feurnnc - tional processes. (Today, these trade-offs only hap - pn ee nt woonr ka nd ea sdi-ghno tcebc ahsni os ltohgrioe us .gHh ot hwee vd ee rp, ltohyemf oecnut soifs oonffsa.)sset utilization, not flow or bi-directional trade-
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