scieee Open visual document viewer

A proposal for the improvement of financial academic processes: process modelling and analysis in NOVA IMS

Oliveira, Filipe Aparício

Abstract

Business Process Management is known for the improvement it causes in processes, such as cost and resources spending reduction. Providing the capability to understand processes this technique is an added value for every company. It can also be a base for future implementations such as the use of new technologies as Robotic Process Automation. The RPA comes with the potential of reducing manual, simple, recurrent, and time-consuming tasks, existent in every process, changing them to automatic actions. This work project will analyze the state of Financial Services from NOVA IMS, a faculty from Universidade Nova de Lisboa, along with its possible inefficiencies. Therefore, the objective of this work is to apply BPM technologies and techniques and acquire knowledge about the financial processes and conclude with some improvement critics based mainly on the use of Robotic process automation.

Full text

 ii                           APROPOSALFORTHEIMPROVEMENTOFFINANCIAL ACADEMICPROCESSES FilipeApa ícioOli ei a P ocessModelingandanalysisinNOVAIMS P ojec Wo kp esen edas hepa ial equi emen  o  ob ainingaMas e 'sdeg eeinIn o ma ionManagemen     ii NOVAIn o ma ionManagemen School Ins i u oSupe io deEs a ís icaeGes ãodeIn o mação Uni e sidadeNo adeLisboa  APROPOSALFORTHEIMPROVEMENTOFFINANCIALACADEMIC PROCESSES PROCESSMODELINGANDANALYSISINNOVAIMS  FilipeApa ícioOli ei a      P ojec Wo kp esen edas hepa ial equi emen  o ob ainingaMas e 'sdeg eeinIn o ma ion Managemen ,Specializa ioninIn o ma ionSys emsandTechnologiesManagemen    Ad iso :P o .Ví o ManuelPe ei aDua edosSan os,Ph.D.    Feb ua y2019   iii ACKNOWLEDGEMENTS The accomplishmen o his wo k was possible hanks o he con ibu ion o se e al people, o whom I would like o exp ess my g a i ude. Fi s , I would like o hank my p o esso and ad iso Vi o San os o he pa ience, dedica ion, and suppo a all s ages o he c ea ion o his wo k and o all he knowledge you ha e gi en me du ing he las academic yea s. Thank D . Sil ia San os, esponsible o he inancial se ices o NOVA IMS, o he a ailabili y, and suppo . Wi hou he , his wo k could no be done since she was he majo poin o collec in o ma ion abou he inancial p ocesses. Thank my amily o all kinds o suppo and dedica ion. Thank my iend and colleagues ha we e he e all he ime mainly when I mos needed i . These pe sons allowed me o comple e his wo k and g ow as a pe son. Thank you. i ABSTRACT Business P ocess Managemen is known o he imp o emen i causes in p ocesses, such as cos and esou ces spending educ ion. P o iding he capabili y o unde s and p ocesses his echnique is an added alue o e e y company. I can also be a base o u u e implemen a ions such as he use o new echnologies as Robo ic P ocess Au oma ion. The RPA comes wi h he po en ial o educing manual, simple, ecu en , and ime-consuming asks, exis en in e e y p ocess, changing hem o au oma ic ac ions. This wo k p ojec will analyze he s a e o Financial Se ices om NOVA IMS, a acul y om Uni e sidade No a de Lisboa, along wi h i s possible ine iciencies. The e o e, he objec i e o his wo k is o apply BPM echnologies and echniques and acqui e knowledge abou he inancial p ocesses and conclude wi h some imp o emen c i ics based mainly on he use o Robo ic p ocess au oma ion. KEYWORDS Business P ocess Managemen , P ocesses modeling, Financial P ocess, Au oma ion, and Robo ic P ocess Au oma ion. INDEX 1. In oduc ion .................................................................................................................................... 1 1.1. Backg ound ............................................................................................................................. 1 1.2. S udy Objec i es ..................................................................................................................... 1 1.3. Me hodology .......................................................................................................................... 2 1.4. NOVA In o ma ion Managemen School ................................................................................ 3 1.5. NOVA IMS – O ganiza ion Cha ............................................................................................. 4 1.6. Financial Se ices .................................................................................................................... 5 2. Li e a u e Re iew ............................................................................................................................ 6 2.1. Business P ocess Managemen ............................................................................................... 6 2.1.1. Concep s ......................................................................................................................... 6 2.1.2. BPM Li e Cycle................................................................................................................. 7 2.1.3. P ocess modeling ............................................................................................................ 8 2.1.4. Business P ocess Model and No a ion............................................................................ 9 2.1.5. Modeling ools .............................................................................................................. 11 2.1.6. P ocess ans o ma ion................................................................................................. 14 2.2. Robo ic P ocess au oma ion ................................................................................................. 16 3. P ojec De elopmen .................................................................................................................... 18 3.1. En i ies .................................................................................................................................. 18 3.1.1. Ac o s ............................................................................................................................ 19 3.1.2. Sys ems ......................................................................................................................... 19 3.1.3. Documen s .................................................................................................................... 19 3.2. Tools ...................................................................................................................................... 20 3.3. P ocess Models ..................................................................................................................... 21 3.3.1. Mac o p ocess .............................................................................................................. 21 3.3.2. P ocesses ...................................................................................................................... 21 3.4. P oposal o imp o emen s .................................................................................................. 27 4. Conclusions ................................................................................................................................... 30 Re e ences .......................................................................................................................................... 31 5. Re e ências ....................................................................................... E o! Ma cado não de inido. ANNEXES ............................................................................................................................................ 34 A. Documen s ............................................................................................................................ 34 1. Pu chase au ho iza ion email example ................................................................................ 34 2. Pu chase o de example ....................................................................................................... 36 3. Expense app o al eques (PAD) example ............................................................................ 37 4. Commi men documen example ......................................................................................... 39 5. Budge a y app oach documen example ............................................................................. 40 i LIST OF FIGURES: Figu e 1 – Me hodology ou line .............................................................................................................. 2 Figu e 2 - NOVA IMS O ganiza ion Cha ................................................................................................ 4 Figu e 3 - NOVA IMS Financial Se ices Cha ......................................................................................... 5 Figu e 4 - BPM Li e Cycle ......................................................................................................................... 7 Figu e 5 - Magic Quad an o In elligen Business P ocess Managemen Sui es ................................ 12 Figu e 6 – Mac op ocess ....................................................................................................................... 21 Figu e 7 - Goods and se ices acquisi ion p ocess ................................................................................ 22 Figu e 8 - School ee paymen s p ocess ................................................................................................ 23 Figu e 9 - Sala ies P ocess ..................................................................................................................... 24 Figu e 10 - In oice p ocessing p ocess .................................................................................................. 25 Figu e 11 - Bank econcilia ion p ocess ................................................................................................. 26 ii LIST OF TABLES: Table 1 - Business P ocesses No a ions .................................................................................................. 9 Table 2 - BPMN Elemen s No a ion ....................................................................................................... 11 Table 3 - Modeling ools Ad an ages .................................................................................................... 14 Table 4 - Financial P ocesses ................................................................................................................. 18 Table 5 - P ocess Ac o s ........................................................................................................................ 19 Table 6 - P ocess Sys ems ...................................................................................................................... 19 Table 7 - P ocess Documen s ................................................................................................................ 19 iii LIST OF ABBREVIATIONS AND ACRONYMS A3ES Agência de A aliação e Ac edi ação de Ensino Supe io AI A i icial In elligence BPM Business P ocess Managemen BPMN Business P ocess Managemen No a ion IDEF In eg a ion DEFini ion OCR Op ical Cha ac e Recogni ion RPA Robo ic P ocess Au oma ion SaaS So wa e as a Se ice UML Uni ied Modelling Language 1 1. INTRODUCTION 1.1. BACKGROUND “O e he las decade, he e has been a shi om “da a-awa e” in o ma ion sys ems o “p ocess- awa e” in o ma ion sys ems.” (Van de Aals , 2003). E e y o ganiza ion has business p ocesses om he a ac ion o cus ome s un il he p oduc s deli e ed o he consume s. A business p ocess is a se o ac i i ies ha needed o be comple ed in o de o achie e a goal o a ce ain ou pu . Fo example, a business p ocess o a ca selling company in ol es ac i i ies as clien acquisi ion, p esen a ions o p oduc s, he budge de ini ion and a lo mo e. All he ac i i ies a e linked and ch onological o ganized and, in his example he inpu is he clien in o ma ion and he ou pu he sale. Business P ojec Managemen (BPM) is nowadays used in many di e en a eas and cases bu wi h he same p opose - imp o e p ocesses. The imp o emen may be di e en depending on he objec i es, whe e he mos common a e educing cos s, e o s and educing execu ions imes. The BPM is de ined by Na hadiel Palme (Palme , 2014) as a "mix u e o modeling, au oma ion, execu ion, con ol, measu emen and op imiza ion o business ac i i y lows in sus enance ce ain goals…” Wi h BPM, he pa h o imp o ing p ocesses h ough au oma ion becomes clea . Au oma ion in ol es a se o ools, p ocesses, and insigh s ha en i onmen s use o sel -modi y and adjus , and some en e p ises ha e s a ed using in elligen au oma ion o d i e a new, mo e p oduc i e ela ionship be ween people and machines. One au oma ion p ocess ha is widely used nowadays besides A i icial In elligence is RPA – Robo ic P ocess Au oma ion. While he echnology was de eloping o some ime be o e, he eme gence o he e m "Robo ic P ocess Au oma ion" can be da ed o ea ly 2000. (UiPa h, 2016) 1.2. STUDY OBJECTIVES Conside ing he p oblem iden i ied be o e, he emphasis o his p ojec will be he modula ion and analysis o he inancial p ocesses o NOVA IMS. The e o e, he goal is o modula e he exis ing p ocesses, analyze, and iden i y which p ocesses can be imp o ed and in which way. Subsequen ly, hese imp o emen s can esul in educed execu ion imes, cos s and esou ces. To achie e his main goal some successi e objec i es a e:  Unde s and he impo ance o BPM and Au oma ion inside a company/o ganiza ion.  Iden i y he main p ocesses in he inancial en i onmen o NOVA IMS  P ocess modeling in BMPN nomencla u e  In es iga e he possible implemen a ion o new au oma ed p ocesses, as well as, imp o emen o old ones. 8 P ocess edesign Also denomina ed p ocess imp o emen , his s ep consis s in iden i y he changes ha can be done o add ess he issues and achie e he desi ed pe o mance goals. This phase and he p e ious one (p ocess analysis) a e done oge he since a e he new changes a e de ined, hey need o be analyzed again. The ou come o his phase is a o-be p ocess model con aining he changes ha need o be implemen ed. P ocess Implemen a ion In his phase, he changes equi ed o mo e om he as-is he o-be p ocess model a e pe o med. I co e s wo aspec s which a e o ganiza ional managemen and p ocess au oma ion. The o me one e e s o ac i i ies ha when implemen ed will change he way o wo k o all pa icipan s o he p ocess. The second one consis s o he suppo o he o-be p ocess by IT sys ems (de eloped also in his phase). P ocess moni o ing Once he edesign p ocess is unning new impo an da a is collec ed and all he pe o mance es s a e made. E o s ha don’ i he desi ed objec i es a e iden i ied and co ec ed. This esul s in he epe i ion o he BPM p ocess li e cycle. 2.1.3. P ocess modeling Business p ocess models a e impo an a a ious phases o he BPM li e cycle. The e a e many easons o model a p ocess, such as a simple unde s anding o he p ocess by he people in ol ed in ha p ocess. (Dumas, La Rosa, Mendling, & Reije s, 2012) Business p ocess modeling is a se o ac i i ies in ol ed in he c ea ion o business p ocess ep esen a ions. The main pu pose is a comple e and easy o unde s and ep esen a ion o he p ocesses. (ABPMP, 2013)The models can ha e di e en le els o de ails, om an abs ac ision o a de ailed one. In e ms o con en , a p ocess model has di e en icons and lines ha ep esen ac i i ies, e en s and o he elemen s o he p ocess as well as he connec ions be ween hose elemen s. 9 Many no a ions can be used o ep esen a business p ocess as we can see in igu e 2. No a ion Desc ip ion Flowcha s Simple bu limi ed se o symbols E en -d i en P ocess Chain E en s become he igge s o a p ocess s ep In eg a ed De ini ion Language 3 I p o ides a mechanism o collec ion and documen ing p ocesses Ac i i y Diag ams Technical no a ions o ien ed o he desc ip ion o in o ma ion sys ems equi emen s Business P ocess Model and No a ion G ea o ep esen ing a model o di e en a ge s Table 1 - Business P ocesses No a ions 2.1.4. Business P ocess Model and No a ion As de ined be o e he BPM is he combina ion o echniques ha allows he unde s anding, analysis, and imp o emen o se ices and an e ec i e and e icien deli e y o business objec i es. To exp ess he business p ocess modeling di e en ypes o no a ions can be used bu o his wo k p ojec , he BPMN ( e sion 2.0) was selec ed since i p o ides a g aphical no a ion o ep esen ing p ocesses in diag ams ha a e easy o unde s and by all he business use s bu a he same ime p esen ing all he in o ma ion needed o he echnical use s. (Objec Managemen G oup) The de elopmen o BPMN has oo s in o he no a ions including UML diag ams, IDEF, UML EDOC Business P ocess, Ac i i y-Decision Flow Diag ams, …, which makes i easie o people o ansac om / he p e ious no a ions o his new one. (Recke , Indulska, Rosemaan, & G een, 2005). Fo example, S heephen Whi e (Whi e, 2004) compa ed he BPMN speci ica ion o UML ac i i y diag ams and concludes om his in es iga ion ha BPMN is mo e in ui i e han UML. BPMN is a s anda d c ea ed by he g oup Business p ocess Managemen Ini ia i e and was published as a s anda d by he Objec Managemen G oup (OMG) in 2011 ha ing as he la es e sion he BPMN 2.0. Acco ding o (ABPMP, 2013), BPMN i ’s a no a ion ha can p esen a p ocess model ha can be in e p e ed by di e en a ge audience since i has he e sa ili y o modula e di e en si ua ions o a p ocess, easy o unde s and e en wi h he as se o symbols and o he igu es. BPMN modeling p esen s ou se s o di e en elemen s:  Flow Objec s  Connec ing objec s  A i ac s  Swimlanes All hese elemen s a e lis ed and desc ibed in able 2. 10 Ca ego y Elemen Desc ip ion No a ion Flow Objec s E en Some hing ha happens du ing he p ocess and no mally has a igge o impac on he esul . The can be S a , in e media e o end e en s. Ac i i y A ounded-co ne ec angle ha is he gene ic wo k ha an o ganiza ion pe o m Ga eway A diamond shape ha is used o con ol he di e gence and con e gen o he p ocess low. I s mos ly used when decisions need o be aken. Connec ing Objec s Sequence low A solid line ha is used o show he sequence o de o he p ocess Message low A dashed line used o show he low o messages be ween wo di e en pa icipan s in he p ocess Associa ion A do ed line used o associa e da a, ex and o he a i ac s wi h low objec s. Swimlanes Pool Rep esen s a pa icipan and ac s as a con aine o he ac i i ies o ha pa icipan Lane A sub-pa i ion wi hin he Pool ha ex ends his leng h ei he ho izon ally o e ically 11 Ca ego y Elemen Desc ip ion No a ion A i ac s Da a Objec Elemen s p oduced o necessa y o he ac i i y G oup A ounded-co ne dashed line ec angle ha can be used o documen a ion o analysis pu poses Anno a ion P o ides addi ional in o ma ion o he eade o a BPMN Diag am Table 2 - BPMN Elemen s No a ion Sou ce: Based on (Whi e, 2004) 2.1.5. Modeling ools To accomplish he s udy ca ied ou du ing he li e a u e e iew and hus ealize he cu en s a e o he inancial p ocesses o No a IMS School, a model o he p ocesses in BPMN will be buil . The e o e, he i s s ep o be aken is he selec ion o a ool ha enables an e icien and e ec i e way o build his model and a he same ime allow a simpli ied analysis o i . Since he e a e di e en ools on he ma ke , i was necessa y o sea ch, analyze and e alua e a se o ools o choose he one ha bes i s ou s udy p ocess. The ollowing analysis and compa ison is based on a s udy conduc ed by Ga ne , a esea ch and ad iso y company, wi h he objec i e o p o ide leade s ac oss he en e p ise wi h he c ucial business insigh s, ad ice and ools hey need o achie e hei mission and build hei u u e o ganiza ion. (Ga ne , 2019) 12 Figu e 5 - Magic Quad an o In elligen Business P ocess Managemen Sui es Sou ce: Magic Quad an o In elligen Business P ocess Managemen Sui es (Ga ne , 2019) Popula selec ed ools o his p ojec a e Appian BPM Sui , IBM Business Au oma ion Wo k low; O acle BPM S udio; Bizagi P ocess Modele and K2. 2.1.5.1. Appian BPM Sui : Appian BPM Sui , om Appian, allows he c ea ion o p ocesses, d awing inspi a ion om he a ious BPMN ools and combining hem wi h low code (d ag and d op) unc ions. I consis s in a highly capable sui o ools ha includes p ocess modelling, Ui design and decision design. This solu ion e en allows use s o op imize hei communica ion wi h pa ne s, ha means i s easy use. “The Appian pla o m allows en e p ises o dynamically al e p ocesses o ongoing p ocess imp o emen and suppo s in elligen business p ocesses ha suppo business ans o ma ion”. (Ga ne , 2019) 13 2.1.5.2. IBM Business Au oma ion Wo k low: IBM Business Au oma ion Wo k low, om IBM, “is so wa e ha combines business p ocess managemen and case managemen capabili ies in o a single in eg a ed wo k low solu ion”. (O acle, 2020) One o he big ad an ages o his ool is he enhanced decision making by using buil -in isibili y, ha allows he iden i ica ion o he bes p ac ices o esol e and imp o e e e y case. I also has a cloud e sion ha suppo he same capabili ies as he s anda d op ions and is hos ed and managed by IBM in i s IMB Cloud da a cen e s. 2.1.5.3. O acle BPM S udio: O acle BPM S udio is a componen o he O acle BPM Sui e, c ea ed by O acle. I suppo s BPMN 2.0 and BPEL allowing he c ea ion o p ocess-based applica ions and model business p ocesses. Since i p o ides a web-based applica ion o c ea ing business p ocesses, edi ing O acle Business Rules, and ask cus omiza ion using p ede ined componen s, i can be used by analys s and de elope s. (O acle, 2018). 2.1.5.4. Bizagi P ocess Modele : The Bizagi P ocess Modele is an applica ion ha allows he c ea ion o wo k lows and p ocess models using he BPMN 2.0 no a ion. I joins he IT wi h he business because o he g ea use - iendly and simple in e ace and he use o d ag and d op p ope ies. (Bizagi, 2018) This applica ion app oaches he ma ke in di e en way, using i s ocus on easy usabili y and ee usage business model as a majo poin o in e es o he consume s. Acco ding o Ga ne and Bizagi use s, his applica ion has highes a e age cus ome sa is ac ion sco es because o i s well- ounded usabili y and expe ience. 2.1.5.5. K2: “K2 p o ides end- o-end capabili ies ha enable you o build you mos complex business applica ions wi h li le- o-no code.” (K2, 2020) The main capabili ies o K2 solu ion is he d ag and d op wo k low design, collabo a ion be ween de elope s and business eams using ea u e- ich o ms and, because o i s ela ionship wi h Mic oso , allows he in eg a ion wi h much o Mic oso se ices such as O ice 365 and Powe BI. 14 A e he analysis o di e en ools and mo e speci ically hose men ioned abo e, in he ollowing able we can see he summa y o he g ea es ad an ages o each one, based on Ga ne ’s analys s’ s udies. As a esul o his able we can ge a holis ic iew o all he ools. Tools Ad an ages Appian BPM Sui Pla o m wi h a s ong pe o mance ac oss all c i e ia; High use sa is ac ion wi h he o e all pla o m expe ience. IBM Business Au oma ion Wo k low Consis en web-based design; Pa o a collec ion o ools ha can all be in eg a ed o a uni ied expe ience. O acle BPM S udio S ong analy ical capabili ies; Dynamic o ches a ion o business p ocesses; Can also be used wi h he OIC (O acle In eg a ion Cloud, o a b owse -based expe ience. Bizagi P ocess Modele F eemium so wa e; Easy o use; Popula be ween i s ma ke niche; F ee access o comp ehensi e sel - aining cou ses. K2 Easy collabo a ion be ween business and p o essional de elope s using Sma o ms; Mic oso pa ne ship allowing in eg a ions wi h Mic oso p oduc s like O ice 365 and Powe BI; Table 3 - Modeling ools Ad an ages 2.1.6. P ocess ans o ma ion The goal is o ind he bes way he p ocess does i s wo k, i can mean simple hings as new equipmen o mo e complex hings as new business app oaches. I can be ha d o implemen and c ea e discom o o he adi ional mindse membe s, bu i all can be a enua ed wi h p e en i e measu es, o example, a g adual ans o ma ion (ABPMP, 2013) Acco ding o ABPMP, he e a e se e al ways o apply sys ema ic ans o ma ion and imp o e he p ocesses. The mos used and ha imp o e he p ocess con inuously a e Lean, Six Sigma and TQM; Bu we also can use he p ocesses edesign; p ocesses eenginee ing, and o he s. Nex , acco ding o ABPMP, he me hodologies ha imp o e p ocesses (Lean, Six Sigma and TQM) will be analyzed mo e deeply since hey p eceded and inspi ed BPM. 15 Lean O igina ed om he P oduc ion Toyo a Sys em, he main objec i e o Lean is o ob ain he igh hings, o he igh place, in he igh ime and igh quan i y, o minimize he was e and be open o changes (ABPMP, 2013). I iden i ies se en was es in he alue chain: o e p oduc ion, in en o y, wai ing- ime, anspo a ion, p ocessing, mo ion, and sc ap. The key p inciples o his way o hinking a e:  Pe ec quali y he i s ime – chase o he ze o de ec s;  Was e minimiza ion by elimina ing ac i i ies ha don’ gene a e alue;  Maximiza ion o he esou ce’s usage;  Con inues imp o emen ;  Pull p ocessing: p oduc s and se ices a e eques ed by clien s  Flexibili y  Building and main aining a long- e m ela ionship sha ing supplie s h ough collabo a i e sha ing o isks, cos s as well as in o ma ion sha ing a angemen s. Six Sigma Six Sigma is a p ocess imp o emen app oach de eloped by Mo o ola, in he mid-1980s, whe e he e o s a e o ien a ed o achie e pe ec ion in ope a ions (Neubaue , 2009). I elays on ac s and s a is ic da a o elimina e any de ec s in any p ocess since i s manu ac u ing o adi ional and om p oduc o se ice (ABPMP, 2013). A de ec is de ined as any hing ou side o cus ome speci ica ions. Achie ing a Six Sigma le el o quali y means limi ing de ec i e pe o mance o 3.4 pe million oppo uni ies (Mon es & Molina, 2006). This app oach is no necessa ily applied alone and some imes i blends wi h he Lean leading o he app oach known as Lean Six Sigma. TQM To al Quali y Managemen is a se o p ac ices o ensu e ha an o ganiza ion can sa is y o e en exceed clien equi emen s. I is conside ed a p ecu so o Six Sigma and elies on he s a is ical analysis o he da a o iden i y de ec s and imp o emen oppo uni ies. (ABPMP, 2013) This app oach is p ima ily ound in manu ac u ing domains. (Dumas, La Rosa, Mendling, & Reije s, 2012) 16 2.2. ROBOTIC PROCESS AUTOMATION P ocess au oma ion is one o he possible esul s a e a business p ocess has been analyzed and iden i ied. “RPA does no eplace BPM, bu a he complemen s i .” (Willcocks, Laci y, & C aig, 2015) RPA is a de eloping echnology, bu , as we jus b ie ly discussed, i s ill elies on he echnologies o a i icial in elligence, sc een sc aping, and wo k low au oma ion and ele a es hese echnologies o a new le el, ad ancing hei capabili ies in a signi ican ly imp o ed way. Deloi e sugges s ha “Robo ic P ocess Au oma ion (RPA) is he applica ion o echnology allowing employees in a company o con igu e compu e so wa e o a ‘ obo ’ o eason, collec and ex ac knowledge, ecognize pa e ns, lea n and adap o new si ua ions o en i onmen s.” Al hough he e m “Robo ic p ocess au oma ion “sugges s physical obo s doing o ice asks no mally did by humans i is a so wa e-based solu ion. IRPAAI (Ins i u e o Robo ic P ocess Au oma ion and A i icial In elligence) de ines RPA as a echnology ha allows he employees o a company o con igu e a so wa e ( obo ) o u ilize exis ing applica ions om p ocessing and manipula ing da a, as well as, communica e wi h o he digi al sys ems. All o his is done wi hou any human in e ac ion. RPA ools can ange om solu ions ha ope a e simple and indi idual compu e s o ones ha ope a e in he en e p ise se e and ha e wide con ac wi h he in o ma ion o a company. They can be applied o di e en domains, o example, banking, inance, insu ance, heal hca e, and legal se ices. RPA ools a e c ea ed o imi a e he same manual pa hs aken by a human, by using a combina ion o use in e ace in e ac ion. (Ga ne , 2018) Ga he , conside he main ad an ages o his ool he cos s and ime-consuming educ ion, inc ease accu acy, compliance imp o emen and ime-consuming educ ion. Using BPM, we can iden i y he bes business p ocesses o au oma e ha , acco ding o Accen u e, a e ule-based and no dependen on human judgmen , ini ia ed by a digi al igge , wi h a high olume o execu ions and s abile. 17 F om E nes & Young expe ience, he e a e i e key aspec s i al o he success ul RPA implemen a ion:  P ocess P io i isa ion: P ocesses c i ical o business and hei in e ac ion should be clea ly unde s ood.  Business and IT Accoun abili y: Business p ocess owne s mus eel accoun able o he in ol emen o hei people in he RPA de elopmen and implemen a ion. They also should be espec ul and ollow IT go e nance p o ocols.  Design and Execu ion: Mo e quickly o p o e ha RPA concep s a e iable o he au oma ion p ojec .  S akeholde s engagemen : The alue o RPA mus be e ec i ely communica ed o all he pe sons in ol ed in he p ojec bu also o he chie o ice s.  Bene i s ealiza ion: con inuous imp o emen mechanisms should be p o ided. Regula upda es a e essen ial o main ain he con idence o all s akeholde s An a ea whe e he RPA is impo an o his wo k is Financial Se ices. EY (E ns & Young Accoun an s LLP, 2016) e e s ha RPA is quickly e ol ing in inance unc ions since his is in cons an p essu e and he majo challenges a e o sh ink cos s and suppo dec easing ma gins. Capgemini also adds ha o ganiza ions ha a e inno a ing using RPA can d i e 25-50% cos sa ings, educing he la ency and ge ing highe le els o p oduc i i y. Some RPA solu ions mos used nowadays in he inancial a ea a e lis ed and analyzed below:  Capgemini RPA Solu ion: Wi h an app oach ha helps inancial ins i u ions o de ine an RPA oadmap, selec app op ia e ools, c ea e a pilo , se an ope a ing model, pe o m go e nance, se up he igh eam and es he solu ion be o e launch. They gi e inancial ins i u ions and insu ance companies a way o imp o e hei p ocesses.  BlueP ism Digi al Wo k o ce ( inancial se ices): “Au oma es many o he p ocesses ha hold inancial o ganiza ions back. Wi h wo ld-class secu i y, comp ehensi e audi ails and non- epudia ion, Blue P ism is designed o mee he s ic secu i y and compliance needs o he inancial se ices indus y.” (Bluep ism, s.d.)  UIpa h en e p ise RPA pla o m: “UiPa h p o ides p ocess e iciency and lowe s cos s while ensu ing egula o y compliance and deepe analy ical insigh . Implemen a ion wi h UiPa h is as e and compe i i ely less expensi e han IT au oma ion p ojec s”. (UiPa h) Fo example, he obo s can check incomes, expenses and o he da a om se e al da abases and p esen i o he analys in eal- ime. 24 3.3.2.3. Sala ies p ocessing p ocess Figu e 9 - Sala ies P ocess As p esen ed in he igu e abo e, his p ocess ela es o he NOVA IMS employee’s sala y paymen . I s a s wi h he human esou ces ha ing all he in o ma ion ega ding each employee's sala y, which hen is inpu ed on he Sis ema Cen al de Ges ão, so i can be accessed by he inancial se ices. Then, hey p ocess he sala ies and ela ed axes and send he inal in o ma ion o he Uni e sidade No a de Lisboa ounda ion ha will pay he employees. 25 3.3.2.4. In oice p ocessing p ocess Figu e 10 - In oice p ocessing p ocess This subp ocess is ans e se o many p ocesses since i is necessa y e e y ime a ansac ion is made. In his case, i appea s on he Goods and se ices acquisi ion p ocess. The main objec i e is o p ocess he in oices and be su e ha he paymen happened. The p ocess s a s wi h he in oice alida ion which gua an ees ha is he co ec one o be inse ed in he sys em. A e ha , i is a ached o he PAD and sen o be app o ed one mo e ime be o e he paymen o he supplie . 26 3.3.2.5. Bank econcilia ion p ocess Figu e 11 - Bank econcilia ion p ocess The p ocess p esen ed in igu e 6 has he main objec i e o gua an ee ha e e y ansac ion has been p ope ly made and ha he inal bank balance is co ec . Fi s ly, a eco d o e e y inancial ansac ion made du ing a day is p epa ed. As he nex s ep, he e is a manual and de ailed analysis o see i e e y ansac ion and alue is co ec . When inconsis encies a e ound hey a e in es iga ed and i possible, he p ope co ec ions a e made. 27 3.4. PROPOSAL FOR IMPROVEMENTS A e e iewing and analyzing he p ocesses p esen ed and, o e lec ha analysis in imp o emen s, he nex sec ion o his p ojec wo k will explain which a e he main de iciencies and p opose possible solu ions. The ocus would be au oma izing he p ocess wi h RPA solu ions, educing ime, money and imp o e employee’s sa is ac ion and p oduc i i y. Ano he poin o analysis will be he Sis ema Cen al de Ges ão. The NOVA IMS inancial se ices and o he depa men s al eady ha e his cen e ed sys em whe e hey can, in a as way, sha e in o ma ion. Howe e , i is no cu en ly being used a i s ulles po en ial. Gene al imp o emen s o he p ocesses: One conce n aised by D . Sil ia was he educed le el o pe sonnel esponsible o keep he inancial se ices wo king. The cu en eam can gi e he esponse o he daily basis asks bu he e a e some e en s du ing he yea ha o e load ha eam wi h wo k. Examples o hese e en s a e he s uden s' ee paymen ime o wo ke aca ions. The hi e o a leas one mo e pe son can be seen ini ially seen as an expense bu in a long- ime scena io, i would inc ease he quali y o he esul s, he p oduc ion le el and o cou se he happiness and wellbeing o he employees. Ano he lack, ha in his case, co ela es he sys em and he people, s a s wi h he ac ha he sys em is a SaaS (So wa e-as-a-se ice) and so, a e implemen a ion, i has mul iple eleases ega ding people’s needs. These ypes o solu ions as many ad an ages bu i is also needed o ake in o conside a ion some disad an ages, o ins ance, he managemen o he use knowledge. On NOVA IMS e e y ime he e is a new upda e, no all he use s a e no i ied and he e is no aining ela ed o he upda es which educe wo ke s' knowledge abou he ool and inc ease he ime and esou ces spen o do each ask. The bes imp o emen o do ega ding his poin is o ha e sho wo kshops e e y ime a new elease comes ou . Wi h his upg ade, no only he people will ha e mo e capaci y o daily basis asks bu hey ha e a momen o be hea d ha esul s in a be e wo k en i onmen and also he ga he ing o eedback ela ed o he sys em in use. 28 P ocess numbe and name C i ical analysis P oposal o imp o emen s P ocess 1 – Se ices and goods acquisi ion a) Cu en ly, a NOVA IMS he c ea ion o he PO is done manually. An employee en e s he sys ems, sea ch o he igh o de and c ea es he PO. This ask by i sel is simple bu when he numbe o PO inc eases i becomes mo e con using and a sys ema ic ask ha can lead o e o s. b) As seen in he p ocess model e e y ime an a ea o NOVA IMS wan s o make a new pu chase, i needs o send an email o he au ho ize and jus a e he au ho iza ion, he pu chase is sen o he pa imonial a ea o be inse ed in o he sys em. These ac ions can lead o e o s and he mos common a e he ailu e in sending he email, loss o he email in he middle o he numbe o emails ecei ed du ing he day o also send he email o he w ong pe son. a) Au oma ic PO c ea ion: Wi h RPA he en i e p ocess om c ea ing a pu chase eques o aising a pu chase o de is done au oma ically. The so wa e, ha would be in eg a ed wi h he cu en sys em would au oma ically ollow a wo k low seeking app o al om he app o e and p ocessing he eques o aise a PO. A e ha , and i needed, he inancial se ices employee can jus consul o p in i o documen a ion eco ds. The bene i s o his sugges ion a e educing he ime by elimina ing a simple bu ime-consuming ask. b) Sys em u iliza ion a ully po en ial: This segmen o he p ocess could be a oided and imp o ed i e e y a ea has i s accoun p o ile in he sys em and, when a new pu chase wan s o be made, i is immedia ely egis e ed in he sys em. The au ho ize (di ec o o adminis a o ) could also ha e p o iles o au ho ize he o de di ec ly in he sys em. Ins ead o using he email o communica ion, ha has a high isk o no being ecei ed o ead, all he communica ions would be done in he sys em ha also does he ollow-up p ocess. These imp o emen s would highly educe ime and allow he cen aliza ion o in o ma ion in one place, g an ing a quick and o ganized access o i . Addi ionally, i would allow he o he pa icipan s in he p ocess o unde s and be e who did he eques and in which scope. 29 P ocess numbe and name C i ical analysis P oposal o imp o emen s P ocess 4 – In oice p ocessing a) The egis a ion o he in oice in he sys em and consequen ly a ach o he PO is also done manually. This is a simple bu ime- consuming ask ha could easily be done au oma ically a) Au oma ic in oice egis a ion: Exploi ing obo ic au oma ion p ocesses, any in oice ecei ed by pape o email would be au oma ically scanned, p ocessed wi h an OCR echnology, egis e ed in he sys em, and a ached o he PO. All he ac ions au oma ically made would be sa ed in logs o u u e audi s and possible e o s solu ion. Op ical Cha ac e Recogni ion, o OCR, “is a echnology ha enables you o con e di e en ypes o documen s, such as scanned pape documen s, PDF iles in o edi able da a”. (ABBYY, 2019) This solu ion will educe he imes and dec ease he p obabili y o e o s. P ocess 5 – Bank econcilia ion a) In NOVA IMS bank econcilia ion is a synonym o a ick-and- ie me hod. All he ansac ions a e analyzed and ma ch manually, a p ocess ha akes a lo o ime and esou ces. a) Au oma ic back econcilia ion: Wi h he u iliza ion o RPA solu ion, all he p ocesses could be au oma ed. Fo example, (Quidjes , 2019) says ha you can au oma ically impo bank s a emen in o ma ion and h ough ma ching c i e ia de ined by he use , cash mo emen s a e easily econciled wi h bank mo emen s h ough an au oma ic sugges ion. This p ocess would dec ease d as ically he ime spen on his ask and a oid he mos common sou ce o e o s – he human. 30 4. CONCLUSIONS Knowing ha echnology is inc easingly p esen in ou days, we mus be able o use i o imp o e ou daily asks. The o ganiza ions a e mainly he ones ha use he echnology, applying i in hei depa men s, o de elop and e ol e hei ac i i ies, hus aiming o ob ain all he bene i s i p o ides. An example o using his echnology is he BPM me hodology. The Business P ocess Managemen me hodology has been ac i ely implemen ed in public and educa ional o ganiza ions esul ing in a no iceable imp o emen in he se ices ha hey p o ide, as demons a ed in he a ious documen s used and e e enced in his documen . Because i is a simple language i is unde s andable o e e yone in ol ed in he p ocess om analys s o p og amme s, and hus leads o a posi i e syne gy o de elopmen . This s udy also p o ed o be an essen ial ool o unde s anding he p ocesses analyzed and so c ea ing alue o hem. Wi h he c ea ion o p ocess diag ams, we we e able o immedia ely in e some ewe e ec i e p ac ices and he imp o emen s needed o econs uc hem. Bizagi Modele so wa e has p o ed o be an excellen wo king ool. Wi h he main bene i s o being simple, easy o unde s and and o e ing di e en expo possibili ies, i becomes a g ea ally in p ocess modeling. I was e y in e es ing o apply his knowledge o he speci ic case o No a In o ma ion Managemen School's inancial se ices. E en hough i is an in o ma ion managemen school some o i s daily p ocesses we e s ill ca ied ou manually and wi h he need o use di e en sys ems and esou ces o ensu e hei luidi y. I was ealized ha p ocesses such as bank econcilia ion o e-mail exchanges o app o al o a pu chase o de could use au oma ion o become as e , less expensi e, and ee up o college employees who can ocus on mos impo an asks. Wi h his p ojec only in ended o modula e he inancial p ocesses and analyze possible imp o emen s u u e wo k could add ess hese imp o emen s, seek hei p ac ical implemen a ion, and implemen hem hus o e ing NOVA IMS a ool o in e nal e olu ion. 31 REFERENCES ABBYY. (2019). Wha is OCR and OCR Technology. Ob ido de ABBYY: h ps://www.abbyy.com/en- us/ ine eade /wha -is-oc / ABPMP. (2013). BPM CBOK Ve são 3.0. Accen u e. (s.d.). Robo ics P ocess Au oma ion in Banking, Insu ance & Capi al Ma ke s. Fu u e echnology in inancial p ocess au oma ion. Bizagi. (2018). Bizagi BPM Modele . Ob ido de Bizagi: h ps://www.bizagi.com/p /p odu os/bpm- sui e/modele Bluep ism. (s.d.). Financial se ices banking and Insu ance. Ob ido de Bluep ism.com: h ps://www.bluep ism.com/solu ions/indus y/ inancial-se ices-banking-and-insu ances Capgemini. (s.d.). Robo ic P ocess Au oma ion o Financial Se ices. Ob ido de Capgemini.com: h ps://www.capgemini.com/se ice/ obo ic-p ocess-au oma ion- o - inancial-se ices/# Deloi e. (s.d.). In elligen au oma ion en e ing he business wo ld. Dumas, M., La Rosa, M., Mendling, J., & Reije s, H. A. (2012). Fundamen als o Business P ocess Managemen . Sp inge . E ns & Young Accoun an s LLP. (2016). Robo ic p ocess au oma ion in he Finance unc ion o he uc u e. Faculdade de Ciências e Tecnologia. (2019). Abou FCT. Ob ido de Faculdade de Ciências e Tecnologia: h ps://www. c .unl.p /en/abou - c /o e iew Faculdade de Ciências Sociais e Humanas. (2019). No a FCSH. Ob ido de No a FCSH: h p:// csh.unl.p / aculdade-en Faculdade de Di ei o da UNL. (2019). Faculdade de Di ei o da UNL. Ob ido de Faculdade de Di ei o da UNL: h ps://www. d.unl.p /Con eudos.asp?ID=1461 Ga ne . (5 de Feb ua y de 2018). Robo ic P ocess Au oma ion:Eigh Guidelines o E ec i e Resul s. Ga ne . (30 de Janua y de 2019). Magic Quad an o In elligen Business P ocess. Ga ne . (30 de Janua y de 2019). Magic Quad an o In elligen Business P ocess. Ob ido de h p://dba.nex blue.ca/wp-con en /uploads/si es/3/2019/07/Magic-Quad an - o - In elligen -Business-P ocess-Managemen -Sui es.pd Ga ne . (15 de May de 2020). Abou us. Ob ido de Ga ne : h ps://www.ga ne .com/en/abou Hamme , M. (2002). P ocess managemen and he u u e o six sigma: Sa y companies ha e lea ned ha hei six-sigma ini ia i es mus se e he la ge endea o o p ocess managemen . Holloway, K. (19 de June de 2014). Role o echnology in inacial se ices. 32 IMB. (15 de May de 2020). IBM Business P ocess Wo k low. Ob ido de IMB: h ps://www.ibm.com/p oduc s/business-au oma ion-wo k low Ins i u o de Higiene e Medicina T opical. (2019). Sob e o IHMT. Ob ido de Ins i u o de Higiene e Medicina T opical: h ps://www.ihm .unl.p / Ins i u o de Técnologia Quimica e Biologia An ónio Xa ie . (2019). In o ma ion abou ITQB NOVA. Ob ido de Ins i u o de Técnologia Quimica e Biologia An ónio Xa ie : h ps://www.i qb.unl.p / In e na ional O ganiza ion o S anda iza ion . (June de 2017). ISO 20700:2017, Guidelines o managemen consul ancy. Ob ido de In e na ional O ganiza ion o S anda diza ion: h ps://www.iso.o g/s anda d/63501.h ml In es opedia. (8 de Decembe de 2017). In es men Consul an . Ob ido de In es opedia: h ps://www.in es opedia.com/ e ms/i/in es men consul an .asp IRPAAI. (s.d.). Wha is Robo ic P ocess Au oma ion. Jaegel, W. (s.d.). The impo ance o Financial consul an s. Ob ido de S ee di ec o y. K2. (15 de May de 2020). Pla o m O e iew. Ob ido de K2: h ps://www.k2.com/p oduc K ame , L. (31 de Janua y de 2016). Au oma ed In es ing. Ob ido de In es opedia: h ps://www.in es opedia.com/a icles/in es ing/120514/how- echnology-helps- inancial- ad iso s.asp Mon es, F., & Molina, L. M. (May de 2006). Six Sigma and managemen heo y: P ocesses, con en and e ec i eness. To al Quali y Managemen and Business Excellence. Na ional School o Public Heal h. (2019). School P esen a ion. Ob ido de Na ional School o Public Heal h: h ps://www.ensp.unl.p / Neubaue , T. (2009). An empi ical s udy abou he s a us o business p ocess managemen . Business Managemen Jou nal. NOVA IMS. (2019). Who Whe A e. Ob ido de No a IMS: h ps://www.no aims.unl.p /quem-somos No a In o ma ion Managemen School. (27 de Janei o de 2017). O ganog am da NOVA IMS. Ob ido de No a In o ma ion Managemen School: h ps://www.no aims.unl.p /uploads/imagens_ ichei os/ges ao h/O ganog am-da-NOVA- IMS.jpg No a Medical School. (2019). No a Medical School P esen a ion. Ob ido de No a Medical School: h p://www.nms.unl.p /main No a School o Business & Economics. (2019). NOVA SBE a a glance. Ob ido de No a School o Business & Economics: h ps://www2.no asbe.unl.p /en/abou -us/no a-sbe-a -a-glance Objec Managemen G oup. (s.d.). Business P ocess Model & No a ion. Ob ido de OMG: h ps://www.omg.o g/bpmn/ 33 O acle. (2018). In oduc ion o O acle BPM S udio. Ob ido de O acle: h ps://docs.o acle.com/cd/E21764_01/doc.1111/e15176/in o_bpm_s udio.h m#BPMPD14 3 O acle. (26 de May de 2020). O acle In eg a ion Cloud (OIC) is a ailable. Ob ido de O acle Bolgs: h ps://blogs.o acle.com/soacommuni y/o acle-in eg a ion-cloud-oic-is-a ailable Palme , N. (2014, Ma ch 26). Wha is BPM? Re ie ed om bpm.com: h ps://bpm.com/wha -is-bpm Quidjes . (2019). Quidjes | Con abilidade e ges ão inancei a. Ob ido de Quidjes : h ps://www.quidges .p /p_g _g ePT.asp?LT=PTG Recke , J., Indulska, M., Rosemaan, M., & G een, P. (Decembe de 2005). Do P ocess Modelling Techniques Ge Be e ? 16 h Aus alasian Con e ence on In o ma ion Sys ems. Red Ha , Inc. (2018). jBPM - Open Sou ce Business Au oma ion Toolki . Ob ido de jBPM: h ps://www.jbpm.o g So wa e AG. (2019). ARIS Exp ess - F ee Modeling So wa e. Ob ido de ARIS Exp ess: h ps://www.a iscommuni y.com/a is-exp ess UiPa h. (26 de July de 2016). The E olu ion o Robo ic P ocess Au oma ion (RPA): Pas , P esen and Fu u e. UiPa h. (s.d.). RPA o Finance and Banking. Ob ido de UiPa h.com: h ps://www.uipa h.com/solu ions/indus y/banking-au oma ion Uni e sidade No a de Lisboa. (2019). Mission and S a egic Plan. Ob ido de Uni e dade No a de Lisboa: h ps://www.unl.p /en/no a Van de Aals , W. M. (2003, Sep embe ). Business P ocess Managemen Demys i ied: A Tu o ial on Models, Sys ems and S anda ds o Wo k low Managemen . Ad anced Cou se on Pe i Ne s, pp. 1-65. Whi e, S. (July de 2004). In oduc ion o BPMN. pp. 1-6. Willcocks, L., Laci y, M., & C aig, A. (Oc obe de 2015). The IT Fun ion and Robo ic P ocess Au oma ion. pp. 3-5. 40 5. Budge a y app oach documen example Page | i