Applied business analytics approach to IT projects – Methodological framework

The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected to deliver the desired outcomes. The industry has identified two major methodologies for running a data centric project, in particular SEMMA (Sample, Explore, Modify, Model and Assess) and CRISP-DM (Cross Industry Standard Process for Data Mining). More general, the professional organizations PMI (Project Management Institute) and IIBA (International Institute of Business Analysis) have defined their methods for project management and business analysis based on the best current industry practices. However, big data projects place new challenges that are not considered by the existing methodologies. The building of end-to-end big data analytical solution for optimization of the supply chain, pricing and promotion, product launch, shop potential and customer value is facing both business and technical challenges. The most common business challenges are unclear and/or poorly defined business cases; irrelevant data; poor data quality; overlooked data granularity; improper contextualization of data; unprepared or bad prepared data; non-meaningful results; lack of skill set. Some of the technical challenges are related to lag of resources and technology limitations; availability of data sources; storage difficulties; security issues; performance problems; little flexibility; and ineffective DevOps. This paper discusses an applied business analytics approach to IT projects and addresses the above-described aspects. The authors present their work on research and development of new methodological framework and analytical instruments applicable in both business endeavors, and educational initiatives, targeting big data. The proposed framework is based on proprietary methodology and advanced analytics tools. It is focused on the development and the implementation of practical solutions for project managers, business analysts, IT practitioners and Business/Data Analytics students. Under discussion are also the necessary skills and knowledge for the successful big data business analyst, and some of the main organizational and operational aspects of the big data projects, including the continuous model deployment

Business Process Risk Management, Compliance and Internal Control: A Research Agenda

Integration of risk management and management control is emerging as an important area in the wake of the Sarbanes-Oxley Act and with ongoing development of frameworks such as the Enterprise Risk Management (ERM) framework from the Committee of Sponsoring Organizations of the Treadway Commission (COSO). Based on an inductive methodological approach using literature review and interviews with managers engaged in risk management and internal control projects, this paper identifies three main areas that currently have management attention. These are business process risk management, compliance management and internal control development. This paper discusses these areas and identifies a series of research questions regarding these critical issuesRisk management; Internal control; Business processes; Compliance; Sarbanes-Oxley Act; ERP systems; COSO; COBIT

VR-PMS: a new approach for performance measurement and management of industrial systems

A new performance measurement and management framework based on value and risk is proposed. The proposed framework is applied to the modelling and evaluation of the a priori performance evaluation of manufacturing processes and to deciding on their alternatives. For this reason, it consistently integrates concepts relevant to objectives, activity, and risk in a single framework comprising a conceptual value/risk model, and it conceptualises the idea of value- and risk based performance management in a process context. In addition, a methodological framework is developed to provide guidelines for the decision-makers or performance evaluators of the processes. To facilitate the performance measurement and management process, this latter framework is organized in four phases: context establishment, performance modelling, performance assessment, and decision-making. Each phase of the framework is then instrumented with state of-the-art quantitative analysis tools and methods. For process design and evaluation, the deliverable of the value- and risk-based performance measurement and management system (VR-PMS) is a set of ranked solutions (i.e. alternative business processes) evaluated against the developed value and risk indicators. The proposed VR-PMS is illustrated with a case study from discrete parts manufacturing but is indeed applicable to a wide range of processes or systems

Development of a conceptual framework for integrated analysis and assessment of agricultural systems in SEAMLESS-IF

Production Economics,

Assessing digital preservation frameworks: the approach of the SHAMAN project

How can we deliver infrastructure capable of supporting the preservation of digital objects, as well as the services that can be applied to those digital objects, in ways that future unknown systems will understand? A critical problem in developing systems is the process of validating whether the delivered solution effectively reflects the validated requirements. This is a challenge also for the EU-funded SHAMAN project, which aims to develop an integrated preservation framework using grid-technologies for distributed networks of digital preservation systems, for managing the storage, access, presentation, and manipulation of digital objects over time. Recognising this, the project team ensured that alongside the user requirements an assessment framework was developed. This paper presents the assessment of the SHAMAN demonstrators for the memory institution, industrial design and engineering and eScience domains, from the point of view of user’s needs and fitness for purpose. An innovative synergistic use of TRAC criteria, DRAMBORA risk registry and mitigation strategies, iRODS rules and information system models requirements has been designed, with the underlying goal to define associated policies, rules and state information, and make them wherever possible machine-encodable and enforceable. The described assessment framework can be valuable not only for the implementers of this project preservation framework, but for the wider digital preservation community, because it provides a holistic approach to assessing and validating the preservation of digital libraries, digital repositories and data centres

The Challenge of Building Proper Urban Indicator System: A Proposal for Croatian Cities

In this paper, urban indicator system is investigated in the context of urban policy processes. Indicators are seen as a tool to enhance urban management and special attention is given to their role in providing assistance in monitoring municipal development and performance. The paper will present desirable features of useful indicators from the city perspective, as well as framework to include these indicators in urban policy and management successfully. Formulation of proper indicator system requires a good understanding of the utilization, diffusion and dissemination of information in policy processes, so the paper will consider basic constraints related to these preconditions such as existing knowledge gaps within the indicator developer community vs. their theoretical limitations, communication concerns, human and technical capacities, policy issues etc. This paper will also elaborate modest Croatian experience in developing urban indicator system and lessons learned will be used as guidelines in making illustrative proposal for Croatian cities. In addition, this paper will try to define particular environmental, economic and governance variables/indices that should be adopted as urban indicators, taking in account Croatian specificities. We conclude this paper by addressing future challenges related to integration of urban indicator system within urban policy in Croatia.

Records management capacity and compliance toolkits : a critical assessment.

This article seeks to present the results of a project that critically evaluated a series of toolkits for assessing records management capacity and/or compliance. These toolkits have been developed in different countries and sectors within the context of the e-environment and provide evidence of good corporate and information governance. Design/methodology/approach - A desk-based investigation of the tools was followed by an electronic Delphi with toolkit developers and performance measurement experts to develop a set of evaluation criteria. Different stakeholders then evaluated the toolkits against the criteria using cognitive walkthroughs and expert heuristic reviews. The results and the research process were reviewed via electronic discussion. Findings - Developed by recognised and highly respected organisations, three of the toolkits are software tools, whilst the fourth is a methodology. They are all underpinned by relevant national/international records management legislation, standards and good practice including, either implicitly or explicitly, ISO 15489. They all have strengths, complementing rather than competing with one another. They enable the involvement of other staff, thereby providing an opportunity for raising awareness of the importance of effective records management. Practical implications - These toolkits are potentially very powerful, flexible and of real value to organisations in managing their records. They can be used for a "quick and dirty" assessment of records management capacity or compliance as well as in-depth analysis. The most important criterion for selecting the appropriate one is to match the toolkit with the scenario. Originality/value - This paper aims to raise awareness of the range and nature of records management toolkits and their potential for varied use in practice to support more effective management of records

Advanced Cloud Privacy Threat Modeling

Privacy-preservation for sensitive data has become a challenging issue in cloud computing. Threat modeling as a part of requirements engineering in secure software development provides a structured approach for identifying attacks and proposing countermeasures against the exploitation of vulnerabilities in a system . This paper describes an extension of Cloud Privacy Threat Modeling (CPTM) methodology for privacy threat modeling in relation to processing sensitive data in cloud computing environments. It describes the modeling methodology that involved applying Method Engineering to specify characteristics of a cloud privacy threat modeling methodology, different steps in the proposed methodology and corresponding products. We believe that the extended methodology facilitates the application of a privacy-preserving cloud software development approach from requirements engineering to design