行政院農委會為了提昇網站服務品質，委託台灣農業資訊科技發展協會將「休閒農業服務網」入口網站與所屬的二十個家族網站進行相關整合計畫，同時以2007年12月研考會公布的「政府服務品質獎評獎作業手冊」為參考依據，希望透過「休閒農業服務網」入口網站改善來提昇網站的服務品質，整合各相關業務機關的資訊，提供民眾完善的資訊服務平台，為農村旅遊配套措施加值，並促進農村經濟活絡與提昇生活品質之終極目標。 本研究首先依據評獎的計分方式，以內部效益、外部效益、整合性的解決手法與資通訊（ICT）服務導入等四大項評分標準，協助建置客觀且可衡量的構面與指標。然後利用深度訪談、專家訪談的專業建議、焦點團體訪談(FGI)等方式來瞭解使用者真正的需求與題項，並修正前項構面與指標。並採用層級分析法（AHP）來計算服務品質構面的題項，最後以網路問卷與問卷調查的方式進行滿意度分析，進而產生初步KPI。 同時，透過初步KPI進行實際的網站功能改善，分析民眾對網站服務品質的滿意度是否提升，提出具體可行、較大幅度的修正建議，以趕上目前科技網路的進步。希望透過此次研究，能更深入了解非營利入口網站的實務機制與流程，日後可依不同網站需求做調整，推展到其他非營利的網站。 本研究的網站服務品質提升的計畫經過嚴謹的調查，確實執行所有階段活動，並實體進行網站服務品質的功能改善，經過改善前後的兩次問卷調查結果對照，來評估網站功能改善的效益。研究結果依據評獎計分方式，在總得分1000分中獲得989分。整體而言，本次計畫確實有達到服務品質提升的目的。網站內容技術的發展以及網站應用普及，已促使政府機關或民眾，在觀念上及對網站內容的預期上，都遠高於以往。近年，整體大環境加上政府資訊網路的大幅發展，也促使我們需要認真思考，非營利網站與休閒農業相關的政府網站能加強改進，以滿足網路使用者的需求。 / The Council of Agriculture (COA), Executive Yuan authorized the Taiwan Agriculture Information Technology Association—the management team of the EZGO website—to integrate COA’s twenty sub-websites into a “EZGO” portal website. Referring to the service benchmarks of the annual “Executive Yuan Service Quality Award“, which the Research, Development and Evaluation Commission of the Executive Yuan presented on December, 2007, EZGO hopes to improve the COA’s web service quality with integrated information from related government agencies. Furthermore, with this portal, EZGO aims to promote agri-tourism, to expedite the economic revival of farm and fishing villages, and to improve the living quality of rural communities. The objective of this research is to provide EZGO with measurable and objective Key Performance Indicators （KPIs）to evaluate EZGO’s portal. First, measurable evaluate on criteria, which are based on the Government Service Quality Award’s benchmarks, were established. Second, some literatures review, in-depth interviews, expert interviews and a focus group interview to investigate the current situation of the web portal and its sub-websites and to determine the real needs of primary users were conducted. These results were adapted to previous criteria. Third, utilize the analytic hierarchy process method was utilized to calculate the weight of criteria and convert them into performance indicators. Finally, online questionnaire surveys and face-to-face interviews were conducted to turn those indicators into preliminary KPIs. Furthermore, EZGO used those preliminary KPIs to improve their website service quality, analyze users’ feedback to website and even suggest web redesign, in alignment with contemporary Internet user behavior trends. This research intends to establish fair, measurable and adjustable KPIs to evaluate non-profit portals and other similar websites. The research demonstrates a website service improvement process that combines rigorous investigation and thorough execution. The research actually did interpret and apply research findings to the EZGO portal website services and compared the before and after KPIs to evaluate improvements to the EZGO portal.

I en hårdnande marknad för tillverkande industrier krävs det att förbättringar och effektiviseringar av produktionen hela tiden prioriteras, det gäller även Scanias växellådstillverkning. I takt med att antalet växellådsvarianter ökar, ökar utmaningarna kopplat till styrning och planering av produktion. Denna studie syftar till att ta fram ett förslag på det bästa sättet att styra produktionsflödet genom testningen av växellådor i de testriggar som finns samt att ge ett förslag på hur uppföljningen av produktionen ska gå till. Syftet mynnade ut i en teoretisk och en praktisk frågeställning. Den teoretiska frågeställningen behandlar sekvenseringen, vilka mätetal som ska användas i produktionen och hur de ska presenteras samt om takttid eller cykeltid ska användas som styrningsmetod vid testriggarna. Den praktiska formuleringen behandlade de praktiska hinder som uppstår vid de existerande systemen på grund av de nya förslagen. Studien avgränsade sig från implementering av förslagen. För att uppfylla syftet och besvara frågeställningarna skapades två simuleringsprogram i Python som undersökte sekvenseringen och jämförde takttid och cykeltid som styrningsmetod för testriggarna. Verklig data från produktionen användes för att kunna simulera skillnaderna mellan styrningsförslagen på ett tillförlitligt sätt. I testriggarna utförs arbetet av maskin och operatör parallellt med varandra. Simuleringsprogrammen fokuserade främst på maskinarbetet, därför utfördes kompletterande tidsstudier över operatörsarbetet vid testriggarna. För att få ytterligare perspektiv gjordes dessutom två benchmark i form av besök vid motortillverkningen och bearbetningen av pinjonger och kronhjul på Scania i Södertälje. Studien visade att cykeltidsstyrning är att föredra framför takttidsstyrning vid testriggarna. Vid en övergång från takttidsstyrning till cykeltidsstyrning kommer kapaciteten att förbättras och stopptidsmätningarna bli mer tillförlitliga. De fördelar som annars finns vid en takttidsstyrning fungerar inte vid testriggarna på grund av hur de är utformade. Den stora variationen i cykeltider vid testriggarna medför stora problem vid en takttidsstyrning. Från operatörstidmätningen framgick att det går att förbättra arbetet med standardiserat arbetssätt. Simuleringsprogrammet för sekvenseringen visade att en förbättrad sekvens inte ger något i nuläget, men att det kan komma att förändras framöver. Nya mätetal definierades, både i den dagliga produktionen och för vidare analys i ett IT-system. Framförallt utvecklades mätetal för stopptid som även visar vad för typ av stopptid som uppkommer.

This thesis aims to optimize the machine learning algorithms for predicting KPI metrics for an organization. The organization is predicting whether projects meet planned deadlines of the last phase of development process using machine learning. The work focuses on the analysis of prediction models and sets the goal of selecting new candidate models for the prediction system. We have implemented a system that automatically selects the best feature variables for learning. Trained models were evaluated by several performance metrics and the best candidates were chosen for the prediction. Candidate models achieved higher accuracy, which means, that the prediction system provides more reliable responses. We suggested other improvements that could increase the accuracy of the forecast.

Special Purpose acquisition company (SPAC) är ett skalbolag grundat av investerare med det enda syftet att samla kapital genom en börsintroduktion för att senare förvärva ett annat bolag. Tidigare empirisk forskning för SPAC har fokuserat på egenskaperna hos SPAC bolagen samt deras långsiktiga och kortsiktiga avkastning. Denna studie tar en kvantitativ ansats och syftar till att undersöka vilka underliggande makroekonomiska faktorer har bidragit till en ökning i antalet SPAC bolag. Detta undersöks genom en linjär regressionsanalys där studien undersöker korrelationen mellan olika variabler. Studien syftar även till att se om de underliggande makroekonomiska faktorer bakom ökningen av traditionella börsintroduktioner är detsamma som de bakom SPAC. All data för SPAC, makroekonomiska variabler och börsintroduktioner har samlats in genom olika databaser som Yahoo Finance och Nasdaq. Studiens resultat visar på att vissa makroekonomiska variabler som testats för en korrelation har en påverkan på antalet SPAC och börsintroduktioner medans vissa variabler inte bevisade någon påverkan. Variabeln som visade starkast korrelation med antalet SPAC är den generella marknadens avkastning där det är tydligt att om den generella marknaden är stark så är viljan att göra en börsnotering större Studien fann även att de makroekonomiska variabler bakom ökningen av antalet SPAC och vanliga börsnoteringar inte skiljer sig åt. / This paper is written in Swedish. A special purpose acquisition company (SPAC) is a shell company set up by investors with the sole purpose of raising money through an IPO to eventually acquire another company. Past empirical research on Special purpose acquisition companies has mostly focused on the characteristics of the SPACs and long term returns as well as the short term returns. This study takes a quantitative approach and aims to examine whether underlying macroeconomic factors have contributed to the increase in SPAC companies. This is done by a linear regression analysis that tests for correlations between different variables. The study also aims to see if the underlying macroeconomic factors behind the increase of traditional IPOs are the same as those behind SPACs. All data regarding SPACs, IPOs and the macroeconomic factors were collected from different databases and websites such as Yahoo finance and NASDAQ. The results from this study show that some of the macroeconomic factors which were tested for a correlation indeed have a positive impact on the number of SPACs and IPOs and some did not. The variable that showed the strongest correlation was the performance of the general market and it is clear that when the general market is strong the willingness to go public increases. The study also finds that the macroeconomic variables behind the increase in the number of SPACs and IPOs do not differ.

This thesis is a collaboration with Stockholm Globe Arena Fastigher AB (SGAF) and focuses on a case study involving the multi-functional arenas Avicii Arena and Annexet in Stockholm, Sweden. The objective of this study is to investigate Key Performance Indicators (KPI) that can sufficiently measure and evaluate monthly and yearly electricity, heating and cooling consumption while considering events and visitors. Data regarding visitor and event, electricity, heating and cooling were provided by companies in agreement with SGAF, which is handled in a Data Reduction. This study identified four different KPIs to evaluate energy consumption dynamics; KPI 1: Energy consumption per event day, KPI 2: Energy consumption per visitor, KPI 3: Load Factor and KPI 4: Occupancy rate. The results showed that the monthly KPI 1 and 2 values exhibited unpredictable fluctuations hindering its ability to assess energy consumption patterns. In contrast, the annual KPI 1 and 2 were able to effectively evaluate the energy consumption which uncovered that the electricity consumption in the venues is on a downward trend. However, the heating and cooling consumption remained stagnant during the same timeframe. KPI 3 and 4 displayed efficient operation of the energy systems. Moreover, all four KPIs revealed that the energy consumption is influenced by other factor beyond visitors and events. A subsequent Correlation Analysis unveiled two additional factors, outdoor temperature and event types, affects the energy consumption which suggests potential areas for future research. / Detta examensarbete ar ett samarbete med Stockholm Globe Arena Fastigheter AB (SGAF) och fokuserar på en fallstudie som involverar de multi-funktionella arenorna Avicii Arena och Annexet i Stockholm, Sverige. Målet med denna studie är att undersöka Nyckeltal som kan mäta och utvärdera månatlig och årlig elektricitetsförbrukning, värmeförbrukning och kylförbrukning med hänsyn till evenemang och besökare. Data avseende besökare och evenemang, elförbrukning, värmeförbrukning och kylförbrukning tillhandahölls av företag i samförstånd med SGAF som hanterades i en Data Reduktion. Denna studie identifierade fyra olika nyckeltal för utvärdering av energiförbrukningen; Nyckeltal 1: Energiförbrukning per evenemangsdag, Nyckeltal 2: Energiförbrukning per besökare, Nyckeltal 3: Belastningsfaktor och Nyckeltal 4: Beläggningsgrad. Resultaten visar att de månatliga nyckeltalen 1 och 2 uppvisade förutsägbara fluktuationer som hindrade dess förmåga att bedöma energiförbrukningsmönster. Den årliga nyckeltalen 1 och 2 kunde effektivt utvärdera energiförbrukningen vilket avslöjade att elförbrukningen i anläggningarna minskar. Dock, påvisade värmeförbrukningen och kylförbrukningen oförändrade under samma tidsperiod. Nyckeltal 3 och 4 uppvisade att energisystemen i anläggningarna körs på ett effektivt sätt. Vidare, visade samtliga fyra nyckeltal att energiförbrukningen påverkas av andra faktorer utöver besökare och evenemang. En efterföljande korrelationsanalys påvisar att två ytterligare faktorer, utomhus temperatur och evenemangstyper, påverkar energiförbrukningen vilket antyder nya potentiella forskningsområden.

Course: Degree project in Supply Chain Management, Master of science within business and economics, 30 credits Title: To secure limited material for smaller enterprises - A case study on KG ListAuthors: Oskar Olsen & Axel StrandbergSupervisor: Åsa GustavssonExaminator: Peter Berling Background: In an increasingly competitive business market, the sourcing process needs to be optimized to gain advantages over competitors. Companies using limited resources suffer from not being able to secure material in different ways. Being a small enterprise also gives additional negative consequential effects. To be able to decrease the effects, working methods with solutions and key performance indicators need to be found. Smaller enterprises in the wood industry have been identified as actors suffering from the consequential effects. Purpose: The purpose of the paper is to identify negative consequential effects experienced by smaller enterprises regarding the securing of limited resources. In addition, the aim is to describe a working method with solutions and associated key performance indicators to counteract the consequential effects regarding the securing of limited resources. Research questions: RQ1: What consequences do smaller enterprises experience when securing limited material?RQ2: What solutions and key performance indicators can be applied to counteract identified consequential effects when securing limited material for smaller enterprises?Method: The paper uses a deductive approach while applying a qualitative research method with elements of quantitative data. The primary empirical data was collected by unstructured and semistructured interviews, observations and the in-depth method focus-group interviews. Results: The study shows multiple consequential effects of not being able to secure limited resources as a smaller enterprise. The three major findings were: uncertainty in supply, decreased purchasing power due to being a smaller enterprise in the industry, and being forced to import materials. The study finds working methods with solutions and associated key performance indicators to counteract each effect. With supply chain resilience the effects of uncertainty in supply decreases. The purchasing power could increase by developing supplier relationships or increase the purchase price. By outsourcing a part of or the whole production process the effects of being forced to import could be counteracted. The key performance indicators for each solution needs to be developed individually for every company and should focus on critical moments related to the consequential effects.   Keywords: Limited resources, smaller enterprises, securing resources, consequential effects, solutions, key performance indicators, KPI, sourcingprocess, purchasing power, resilience, supply chain, supplier relationships, outsourcing, supplier pool, the wood industry, oak, oak log

高階主管在面臨日益艱難的經濟情勢與經營環境〈主要是來自消費者(Customers)、競爭(Competition)及變動(Change)等3C的壓力）時，依賴傳統組織架構及報告系統來獲取決策資訊的作法，其有效性正受到強烈的質疑。高階主管資訊系統(Executive　Information Systems,EIS)可說是九○年代電腦資訊系統應用的新領域，它以易學易用的圖形使用者介面、多維分析及往下展開的特性，使高階主管能迅速存取各種攸關其企業成敗的關鍵性資訊。由於其親切易用，近年來EIS的應用更沿組織階層向下發展，成為Everyone Information Systems。在企業發展EIS日趨普遍的情況下，一套系統化的分析設計方法更形重要。 　　然而，在相關的文獻中對EIS的發展方法並沒有提出具體的執行步驟，只有概念性的描述，不易引導開發人員及高階主管將其策略理念轉換為資訊需求，而許多發展EIS失敗的例子，正是由於系統資訊需求不正確、時間與成本超出預算、操之過急及政治因素等所造成。因此實務界人士據其顧問經驗提出一個EIS快速發展方法，強調雛型系統的快速建立以爭取高階主管的持續支持及系統的後續發展。但因仍缺乏系統化的需求分析方法，系統發展者往往需經多次歷練才能領悟其中訣竅，也不易將個人經驗傳授於他人。因此雖然企業組織眾人已感受到EIS的重要性，相關的軟硬體工具也可親易用，而EIS的成功推展卻仍受到相當限制。 　　有鑑於此，本論文以符合文獻中對EIS發展方法之概念性描述的「資訊導向」觀念為基礎，並參考快速雛型系統發展方式，運用「中間擴散」(Middle-Out)方向，整合策略分析及資訊系統規劃的具體作法，發展一套結構化的EIS發展方法，稱為EISAD，含目標分析、關鍵成功要素分析、主要績效指標分析、資料分析、資料庫設計、輸出設計、轉換設計、程序及控制設計等步驟。並以金融業為例：說明此方法論的實際運用過程。以期在理論上對EIS發展方法論，及實務上對金融資訊系統應用層次之提昇有所貢獻。 / Due to the rapid changes of business environment and the increasing customer demands and competition pressure, it is getting important to have Executive Information Systems(EIS) to help executives access to high-level strategic information. Recently, EIS has even evolved down the organization hierarchy to become "Everyone Information Systems". The increasing EIS demand endues the needs for EIS development methodology. However, the literature contains only a few academic studies of EIS development methods which are broad and vague. The EIS development has not been researched in a rigorous and systematic manner. Many practitioners adopt a rapid prototyping approach to attract the executives for further support. Due to the lack of a systematic approach to help extracting the user requirements, it is usually up to the developer's experience to informally address the executives' information needs and this experience is hard to be transferred to others. In this thesis, we propose an EIS development methodology, called EISAD, based on the information-oriented concepts and middle-out system development direction. EISAD integrates related tools in strategic analysis and information systems planning as a structurized EIS development methodology. The step by step explanation of the EISAD is illustrated using a banking example.

政府入口網站含蓋了眾多提供公共服務的網站，讓民眾或企業進行相關業務的辦理、資訊的查詢以及進行交易等行為。全國或是全球需要使用到政府服務，例如政府採購等之使用者皆是政府入口網站之服務對象。因此政府網站在資料流量含量方面較之於一般商業網站更為可觀，亦包含了電子商務性質。在此狀況下，政府角色亦已逐漸從管制調適為服務。就政府體策略或執行計畫而言，實施知識管理除可使行政單位的工作效率提昇，行政流程時間縮短，更可避免重覆錯誤及誤判訊息之可能。 　　本研究主要以行政院公共工程委員會目前所推行之『政府採購電子化』計畫為研究對象，冀於對未來五年能達到政府採購作業全面電子化提出建議。本研究之目標係分析研擬「政府電子採購入口網站」之關鍵成功因素，從而由「政府採購電子化」計畫現行系統歸納出具綜效之整合型「政府電子採購入口網站」功能架構，其工作內容如下： 　　1. 歸納、分析現行各系統及政府採購法推動之問題。 　　2. 瞭解國內政府入口網站之推動情形，分析企業資訊入口網站解決方案現況。 　　3. 利用分析層級程序法（Analytic Hierarchy Process，簡稱ＡＨＰ）歸納出三分類專家，包括工程會內部專家、公部門專家、產業界及學界專家所認為的「政府電子採購入口網站」之關鍵成功因素，同時也分析資訊職務與非資訊職務專家觀點之相異點。 　　4. 根據歸納出來之關鍵成功因素與內部需求，提出具建設性之「政府電子採購入口網站」功能架構雛形，建議工程會推動「政府採購入口網站」提供之功能依據。 　　本研究AHP法研究結果如下： 　　1. 本研究中之各類專家一般認為內在因素比外在環境因素之權重大。 　　2. 第三層關鍵成功因素包括知識管理機制之健全化、政策及法制配合度、使用者服務機制、資訊系統與營運。整體而言，工程會內部專家與產業界及學界專家兩類專家較重視政策及法制配合度構面因素，而公部門專家比較重視資訊系統與營運構面因素。資訊職務專家較重視政策及法制配合度構面因素，非資訊職務專家比較重視資訊系統與營運構面因素。 　　3. 整體最底層關鍵成功因素排名前七項分別為高階長官的參與和支持並訂定明確的目標、即時配合實際狀況，修正、鬆綁法規、充裕的資源配合、提昇法令約束力之效力、提供快速回應問題之機制、介面具親和力、操作流程循序簡單、提供高度的可靠性與穩定性。 　　本研究最後逐一對專家深入訪談、工程會需求訪談、企業資訊入口網站解決方案及關鍵成功因素AHP之分析等結果提出結論與建議。 / An e-Government Portal should integrates numerous websites that offer public service, and provides individuals or enterprises with a platform for trafficking, searching information, and conducting transactions. Thus, all the users, that need to access government service and government procurement information, are potential customers of the e-Government Portal website. Hence, the e-Government Portal website, with e-Commerce quality, has more enormous data flow and database contents in comparison with simple e-Commerce sites. Last but not least, the role of e-Government Portal website is turned gradually into a service provider from its simple transition role of inspection. 　　From government's strategic aspect, actions regarding knowledge management can not only improve the efficiency and streamline the administrative procedures, but also avoid the crisis of repeating failures and misleadings of messages. 　　The object of this research is the Electronic Procurement Plan, which was established and promoted by the Public Construction Commission (PCC) of The Executive Yuan, R.O.C. The goal of the Electronic Procurement Plan is to accomplish the electronic commerce of the government procurement entirely in five years. This study aims to find out the critical success factors (CSF) for the Government Electronic Procurement Portal Website, and to carry out a functional architecture for the synergic Government Electronic Procurement Portal Website via the following working packages : 　　1. to analyze and formulate the problems of promoting the electronic government procurement system and the government procurement law. 　　2. to discuss the ongoing domestic promotion programs of the e-Government Portal websites and analyze the status quo cases of the Enterprise Information Portal (EIP) solution. 　　3. to analyze and compare the critical success factors of the Government Electronic Procurement Portal Website of various expert viewpoints through Analytic Hierarchy Process (AHP) method. The experts come from the PCC internal public servants, public servants from other government agencies as well as industrialists and scholars. On the other hand, the different viewpoints between the IT background experts and non-IT background experts are also compared. 　　4. to summarize constitutive functional architecture for the Government Electronic Procurement Portal Website according to the resulted CSF and the PCC internal requirements. 　　The results of AHP analysis can be stated as following: 　　1. The internal factors outweigh external factors. 　　2. The third-level of factors of AHP architecture includes the solidity of knowledge management, the compatibility of policies and laws, the user service mechanism and the information systems and operations. Generally, the PCC internal public servants, industrialists and scholars pay more attention to the compatibility of policies and laws than the other public servants that put a lot of emphasis on the information systems and operations. The IT background experts value the compatibility of policies and laws, whereas the non-IT background experts emphasize the information systems and operations. 　　3. The top seven priority factors of the rock-bottom level factors include the involvements and endorsements of the top executives and establish the clear goals, the instantaneous emendation and relaxation of the laws, the compatibility of abundant resource, the effectiveness of promoting the law's constraint force, friendly interface and easily sequential operation flow and high reliability and stability. 　　At last, this research leads to the conclusions and suggestions in regard to in-depth experts interviews，PCC internal requirement investigations, EIP solutions and the AHP CSF analysis.

Organizations use Business Intelligence (BI) systems to monitor how well they are meeting their goals and objectives. Yet, very often BI systems do not include clear models of the organization’s goals or of how to measure whether they are satisfied or not. Several researchers now attempt to integrate goal models into BI systems, but there are still major challenges related to how to get access to the BI data to populate the part of the goal model (often indicators) used to assess goal satisfaction. This thesis explores a new approach to integrate BI systems with goal models. In particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open source graphical editor for the User Requirements Notation (URN), which includes the Use Case Map notation for scenarios and processes and the Goal-oriented Requirement Language for business objectives. URN was recently extended with the concept of Key Performance Indicator (KPI) to enable performance assessment and monitoring of business processes. In jUCMNav, KPIs are currently calculated or modified manually. The new integration proposed in this thesis maps these KPIs to report elements that are generated automatically by Cognos based on the model defined in jUCMNav at runtime, with minimum effort. We are using IBM Cognos Mashup Service, which includes web services that enable the retrieval of report elements at the most granular level. This transformation provides managers and analysts with useful goal-oriented and process-oriented monitoring views fed by just-in-time BI information. This new solution also automates retrieving data from Cognos servers, which helps reducing the high costs usually caused by the amount of manual work required otherwise. The novel approach presented in this thesis avoids manual report generation and minimizes any contract with respect to the location of manually created reports, hence leading to better usability and performance. The approach and its tool support are illustrated with an ongoing example, validated with a case study, and verified through testing.

Organizations use Business Intelligence (BI) systems to monitor how well they are meeting their goals and objectives. Yet, very often BI systems do not include clear models of the organization’s goals or of how to measure whether they are satisfied or not. Several researchers now attempt to integrate goal models into BI systems, but there are still major challenges related to how to get access to the BI data to populate the part of the goal model (often indicators) used to assess goal satisfaction. This thesis explores a new approach to integrate BI systems with goal models. In particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open source graphical editor for the User Requirements Notation (URN), which includes the Use Case Map notation for scenarios and processes and the Goal-oriented Requirement Language for business objectives. URN was recently extended with the concept of Key Performance Indicator (KPI) to enable performance assessment and monitoring of business processes. In jUCMNav, KPIs are currently calculated or modified manually. The new integration proposed in this thesis maps these KPIs to report elements that are generated automatically by Cognos based on the model defined in jUCMNav at runtime, with minimum effort. We are using IBM Cognos Mashup Service, which includes web services that enable the retrieval of report elements at the most granular level. This transformation provides managers and analysts with useful goal-oriented and process-oriented monitoring views fed by just-in-time BI information. This new solution also automates retrieving data from Cognos servers, which helps reducing the high costs usually caused by the amount of manual work required otherwise. The novel approach presented in this thesis avoids manual report generation and minimizes any contract with respect to the location of manually created reports, hence leading to better usability and performance. The approach and its tool support are illustrated with an ongoing example, validated with a case study, and verified through testing.