The necessities for building a model to evaluate Business Intelligence projects- Literature Review

In recent years Business Intelligence (BI) systems have consistently been rated as one of the highest priorities of Information Systems (IS) and business leaders. BI allows firms to apply information for supporting their processes and decisions by combining its capabilities in both of organizational and technical issues. Many of companies are being spent a significant portion of its IT budgets on business intelligence and related technology. Evaluation of BI readiness is vital because it serves two important goals. First, it shows gaps areas where company is not ready to proceed with its BI efforts. By identifying BI readiness gaps, we can avoid wasting time and resources. Second, the evaluation guides us what we need to close the gaps and implement BI with a high probability of success. This paper proposes to present an overview of BI and necessities for evaluation of readiness. Key words: Business intelligence, Evaluation, Success, ReadinessComment: International Journal of Computer Science & Engineering Survey (IJCSES) Vol.3, No.2, April 201

Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Predicting business/ICT alignment with AntMiner+.

In this paper we report on the results of a European survey on business/ICT alignment practices. The goal of this study is to come up with some practical guidelines for managers on how to strive for better alignment of ICT investments with business requirements. Based on Luftman's alignment framework we examine 18 ICT management practices belonging to 6 different competency clusters. We use AntMiner+, a rule induction technique, to create an alignment rule set. The results indicate that B/ICT alignment is a multidimensional goal which can only be obtained through focused investments covering different alignment aspects. The obtained rule set is an interesting mix of both formal engineering and social interaction processes and structures. We discuss the implication of the alignment rules for practitioners.Alignment; Artificial ant systems; Business; Business/ICT alignment; Data; Data mining; Framework; Investment; Investments; Management; Management practices; Managers; Practical guidelines; Processes; Requirements; Rules; Structure; Studies; Systems;

A core ontology for business process analysis

Business Process Management (BPM) aims at supporting the whole life-cycle necessary to deploy and maintain business processes in organisations. An important step of the BPM life-cycle is the analysis of the processes deployed in companies. However, the degree of automation currently achieved cannot support the level of adaptation required by businesses. Initial steps have been performed towards including some sort of automated reasoning within Business Process Analysis (BPA) but this is typically limited to using taxonomies. We present a core ontology aimed at enhancing the state of the art in BPA. The ontology builds upon a Time Ontology and is structured around the process, resource, and object perspectives as typically adopted when analysing business processes. The ontology has been extended and validated by means of an Events Ontology and an Events Analysis Ontology aimed at capturing the audit trails generated by Process-Aware Information Systems and deriving additional knowledge

Griggs v Duke Power: Implications for College Credentialing

This paper is about a court case decided by the U. S. Supreme Court in 1971. Although attorneys recognize that the case is important to businesses, its impact on colleges and universities has been explored by only a few. As this paper will show, Griggs v. Duke Power may have enormously boosted the number of students in college and may have increased the differential in income between high school and college graduates. It may have led to higher tuition, without providing commensurate additional value.Indeed, it could even be a judicial decision whose economic implications have been matched by only a few far more celebrated cases in history such as Gibbons v. Ogden (1824), the Dred Scott decision (1857), and the Schechter Poultry case (1935). The hypothesis of this paper is that Griggs turned a college degree into a "credential." The content of the education did not change, but the degree -- the sheepskin -- became a necessary first step for a decent job.Today, for many jobs, only a degree opens the doors of potential employers' offices. It does not ensure a job -- college graduates often say that it is just a "fishing license" -- but it assures the employer that an applicant has at least a minimum level of skill and accomplishment. In the eyes of an employer, a degree demonstrates that the applicant passed a certain number of classes,completed outside reading, wrote at least a couple of papers, thought critically, and was able to manage his or her life in a way that led to graduation. Such skills -- determination, critical thinking and writing, organization, and independence -- are often valued by employers.Providing such assurance to employers did not always require a college degree, and this credentialing function did not happen by chance. Through a series of court rulings and subsequent legislation, a cumbersome set of legal rules has developed that make it difficult for employers to use testing to find out if an applicant is intelligent, capable, and diligent. As we will see, fear of litigation is always in the background. For many jobs, a college degree has become an alternate means of "testing."This paper will describe Griggs, the environment from which it emerged, and the subsequent judicial and political activity that created such great constraints on testing. It will discuss testing today and then provide economic information suggesting the magnitude of the changes that Griggs may have instigated. While this paper does not "prove" the educational and economic consequences of Griggs, it suggests that additional scholarly work on the impact of Griggs on higher education is appropriate

Requirements modelling and formal analysis using graph operations

The increasing complexity of enterprise systems requires a more advanced analysis of the representation of services expected than is currently possible. Consequently, the specification stage, which could be facilitated by formal verification, becomes very important to the system life-cycle. This paper presents a formal modelling approach, which may be used in order to better represent the reality of the system and to verify the awaited or existing system’s properties, taking into account the environmental characteristics. For that, we firstly propose a formalization process based upon properties specification, and secondly we use Conceptual Graphs operations to develop reasoning mechanisms of verifying requirements statements. The graphic visualization of these reasoning enables us to correctly capture the system specifications by making it easier to determine if desired properties hold. It is applied to the field of Enterprise modelling

INTELLIGENT RISK MANAGEMENT - A NEW PRINCIPLE IN RISK MANAGEMENT BASED ON USING BI IN RM

The need for a system able to store information about the risks faced by the organization along its entire existence, the history of decisions on past risk management activities (along with an analysis of the implications of those decisions – “lessons learned”) and able to record and analyze business information from external environment and provide various patterns on the evolution of market phenomena is undeniable. Business intelligence does so. The practice of implementing a business intelligence system since the earliest days of a company’ life that would assimilate information and after that to deliver these to be used in the process of reducing the risks to which the organization is exposed may be considered a new rule of good business practice. Therefore, let us consider this practice a new principle in risk management, named the intelligent risk management.risk, BI, intelligence, approach, principle