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

Big data in higher education: an action research on managing student engagement with business intelligence

This research aims to explore the value of Big Data in student engagement management. It presents an action research on applying BI in a UK higher education institution that has developed and implemented a student engagement tracking system (SES) for better student engagement management. The SES collects data from various sources, including RFID tracking devices across many locations in the campus and student online activities. This public funded research project has enhanced the current SES with BI solutions and raised awareness on the value of the Big Data in improving student experience. The action research concerns with the organizational wide development and deployment of Intelligent Student Engagement System involving a diverse range of stakeholders. The activities undertaken to date have revealed interesting findings and implications for advancing our understanding and research in leveraging the benefit of the Big Data in Higher Education from a socio-technical perspective

UK Research Information Shared Service (UKRISS) Final Report, July 2014

The reporting of research information is a complex and expensive activity for research organisations (ROs). There is little alignment between funders of the reporting requests made to institutions and requests made to individual researchers about their research outputs and outcomes. This inevitably results in duplication and increased costs across the sector, whilst limiting the potential sharing and reuse of the information. The UK Research Information Shared Service (UKRISS) project conducted a feasibility and scoping study for the reporting of research information at a national level based on CERIF (Common European Research Information Format), with the objective of increasing efficiency, productivity and quality across the sector. The aim was to define and prototype solutions which are compelling, easy to use, have a low entry barrier, and support innovative information sharing and benchmarking. CERIF has emerged as the preferred format for expressing research information across Europe. To date, CERIF has been piloted for specific applications, but not as a format for reporting requirements across all UK ROs. The final report presents the work carried out by the UKRISS project, including requirements gathering, modelling and prototyping, as well as recommendation for sustainability. UKRISS was divided into two phases. Phase 1, mapping the reporting landscape, ran from March 2012 to December 2012. Phase 2, exploring delivery of potential solutions, began in February 2013 and ended in December 2013

Towards evaluation design for smart city development

Smart city developments integrate digital, human, and physical systems in the built environment. With growing urbanization and widespread developments, identifying suitable evaluation methodologies is important. Case-study research across five UK cities - Birmingham, Bristol, Manchester, Milton Keynes and Peterborough - revealed that city evaluation approaches were principally project-focused with city-level evaluation plans at early stages. Key challenges centred on selecting suitable evaluation methodologies to evidence urban value and outcomes, addressing city authority requirements. Recommendations for evaluation design draw on urban studies and measurement frameworks, capitalizing on big data opportunities and developing appropriate, valid, credible integrative approaches across projects, programmes and city-level developments

A Tale of Evaluation and Reporting in UK Smart Cities

Global trends towards urbanisation are associated with wide-ranging challenges and opportunities for cities. Smart technologies create new opportunities for a range of smart city development and regeneration programmes designed to address the environmental, economic and social challenges concentrated in cities. Whilst smart city programmes have received much publicity, there has been much less discussion about evaluation of smart city programmes and the measurement of their outcomes for cities. Existing evaluation approaches have been criticised as non-standard and inadequate, focusing more on implementation processes and investment metrics than on the impacts of smart city programmes on strategic city outcomes and progress. To examine this, the SmartDframe project conducted research on city approaches to the evaluation of smart city projects and programmes, and reporting of impacts on city outcomes. This included the ‘smarter’ UK cities of Birmingham, Bristol, Manchester, Milton Keynes and Peterborough. City reports and interviews with representative local government authorities informed the case study analysis. The report provides a series of smart city case studies that exemplify contemporary city practices, offering a timely, insightful contribution to city discourse about best practice approaches to evaluation and reporting of complex smart city projects and programmes

The Audit of Business Intelligence Solutions

Although in this period humanity passes through a relative economic crisis, we all agree that our environment is that of a society of information and knowledge, based on communication and teleactivity, one that is also called information society. Every new form of activity in the information society has an associated informational component consisting in a software program, an application, a system, etc. It is a certainty that in the new economic environment it is necessary to adjust quickly to the opportunities of the market, through Business Process Reengineering, adoption of Business Intelligence solutions, implementation of complex automation applications like Enterprise Resource Planning. But, more than this, in, the digital economy the stress is put on the “labelâ€, the “imageâ€, the “brandâ€, and these features that are associated to organizations may be obtained by the information audit processes. The present study is focusing on the problem of information audit developed in one of the upper forms of manifestation of the information society in the field of changing the ways of doing business: Business Intelligence.Audit, Business Intelligence, Information and Communication Technology, Data & Metadata, Value Chain, Performance

Business intelligence in performance management of agile programs

Abstract. This thesis was conducted for a case company with the primary objective of designing a business intelligence dashboard to be used in the management of agile programs. The aim is to increase the knowledge within the topic and to solve problems that the case company has with the lack of coherent and modern data-driven performance management practices. One of the paramount objectives of this thesis is to reduce the time consumed for manual performance reporting activities and therefore improve the productivity and efficiency within the program management processes and practices. Design science is used as the primary research method in this study. However, the existing literature is also reviewed to explore what has already been studied within the topic and to identify the best practices to be exploited in designing the dashboard. The current state analysis of the case company is conducted and requirements for the dashboard are identified via a survey and interviews. Based on empirical research, two business intelligence dashboards are designed to cover the identified use cases for the performance management of agile programs. This thesis contributes to program management and business intelligence research. Especially, agile program management is discussed at a rather practical level and a set of performance metrics to be used in it is proposed. The use of business intelligence is demonstrated through performance management methods. The results of this study can also be used for further research purposes. Therefore, this study makes clear scientific contributions in addition to the evident practical implications.Tiivistelmä. Tämän opinnäytetyön tavoitteena on suunnitella kohdeyritykselle business intelligence-raportointinäkymät hyödynnettäväksi ketterien ohjelmien johtamisessa. Työssä pyritään tarjoamaan ratkaisu kohdeyrityksen ongelmiin ja parantamaan johdonmukaisuutta nykypäiväisten datalähtöisten suorituskyvyn johtamiskäytäntöjen kautta. Yksi tämän opinnäytetyön keskeisimmistä tavoitteista on saada vähennettyä manuaalisiin raportointitoimenpiteisiin kuluvaa aikaa ja siten parantaa ohjelmajohtamisprosessien ja -käytäntöjen tehokkuutta ja tuottavuutta. Pääasiallisena tutkimusmenetelmänä työssä käytetään Design Science -menetelmää. Aikaisempia tutkimuksia käydään läpi osana kirjallisuuskatsausta, jotta saadaan kartoitettua, mitä aiheen ympärillä on jo aikaisemmin tutkittu. Aikaisempia tutkimustuloksia hyödynnetään myös hyvien käytäntöjen selvittämisessä raportointinäkymän suunnitteluprosessille. Kohdeyrityksen nykytilaa ja sen osoittamia vaatimuksia analysoidaan kyselyn ja haastattelujen kautta. Perustuen empiiriseen tutkimukseen kaksi raportointinäkymää päätettiin suunnitella kattamaan tunnistetut käyttökohteet suorituskyvyn johtamiselle ketterissä ohjelmissa. Tämä opinnäytetyö edistää aikaisempaa tutkimusta ohjelmajohtamisen ja business intelligencen alalla. Erityisesti tässä työssä käsitellään ketterää ohjelmajohtamista käytännön tasolla ja ehdotetaan suorituskyvyn mittareita siinä hyödynnettäväksi. Business intelligenceä havainnollistetaan erityisesti suorituskyvyn johtamismenetelmien kautta. Työn tuloksia voidaan myös hyödyntää jatkotutkimuksessa, joten työllä on myös selkeää tieteellistä kontribuutiota ilmeisten käytännön johtopäätösten lisäksi

A review of GIS-based information sharing systems

GIS-based information sharing systems have been implemented in many of England and Wales' Crime and Disorder Reduction Partnerships (CDRPs). The information sharing role of these systems is seen as being vital to help in the review of crime, disorder and misuse of drugs; to sustain strategic objectives, to monitor interventions and initiatives; and support action plans for service delivery. This evaluation into these systems aimed to identify the lessons learned from existing systems, identify how these systems can be best used to support the business functions of CDRPs, identify common weaknesses across the systems, and produce guidelines on how these systems should be further developed. At present there are in excess of 20 major systems distributed across England and Wales. This evaluation considered a representative sample of ten systems. To date, little documented evidence has been collected by the systems that demonstrate the direct impact they are having in reducing crime and disorder, and the misuse of drugs. All point to how they are contributing to more effective partnership working, but all systems must be encouraged to record how they are contributing to improving community safety. Demonstrating this impact will help them to assure their future role in their CDRPs. By reviewing the systems wholly, several key ingredients were identified that were evident in contributing to the effectiveness of these systems. These included the need for an effective partnership business model within which the system operates, and the generation of good quality multi-agency intelligence products from the system. In helping to determine the future development of GIS-based information sharing systems, four key community safety partnership business service functions have been identified that these systems can most effectively support. These functions support the performance review requirements of CDRPs, operate a problem solving scanning and analysis role, and offer an interface with the public. By following these business service functions as a template will provide for a more effective application of these systems nationally

Business Intelligence in NHS WALES

The paper investigates the challenges of implementing Business Intelligence (BI) in NHS Wales. The study is informed by extant literature, a modified Delphi approach that draws on the knowledge of ten expert panelists from the NHS/Welsh public sector, and from the extensive industry experience of one of the authors of this study. Our adapted Delphi methodology lends itself to supporting the nature of this research since it not only structures a group communication process to explore and seek consensus on specific aspects of BI implementation in NHS Wales, but it also identifies the mean priority accorded by our expert panel to approximately eighty BI-related questions. The specific findings are presented under the following six headings – tools, resources, data, business drivers, business process needs and business service needs. The findings, in general, highlight that the existing BI services in NHS Wales are not presently supporting the delivery of evidence-based business decisions