Critical success factors in a dashboard implementation project : Case: Division-level dashboard implementation in Group Plc

The purpose of this thesis was to study a dashboard implementation project and the critical success factors that are related to the success of the project. Dashboards are tools for reporting and performance management that can be used to provide critical information to decision-makers in a visual and interactive format. Critical success factors were chosen as the focus for the study because of a lack of former research on their use with dashboards. The study is a qualitative case study and it was conducted in one division of a large manufacturing company. The division was in the process of implementing a new dashboard. Data was gathered through taking part in the implementation project and by interviewing project members and other stakeholders. The analysis of the critical success factors was conducted by comparing them to the factors found from earlier dashboard literature, as well as from other technology implementation literature e.g. the balanced scorecard. The aim was to find out which factors are the most critical ones, why they are critical and what does dashboard implementation mean for an organization. As a result a framework of 17 critical success factors was created. The results indicate that in terms of critical success factors, dashboard implementation shares many similarities with other technology implementation projects. The most often mentioned factors from earlier literature – such as top management support, user involvement and data quality – are also critical in dashboard implementation. User acceptance is the most important issue in technology implementation, and most of the success factors are related to gaining it. Focusing solely on technological factors will lead to problems especially for a tool that is meant for wide use. Factors related to visualization and how quickly information can be relayed to users are of special importance for dashboards. While the case project was small budget-wise, the tool is expected to bring significant improvements to working and reporting practices through e.g. automation and standardization. The increase in the type of technology the dashboard represents is seen as inevitable in the organization. Implementing a dashboard is an extensive project, and defining critical factors in all the different phases of the project may help the organization to succeed better

Designing Attention-aware Business Intelligence and Analytics Dashboards to Support Task Resumption

External interruptions are a common phenomenon in today’s working environment. Specifically, attentional shifts in working environments lead to task resumption failures that refer to the improper resuming of a primary task after an interruption and negatively influencing the individual performance of employees. Business Intelligence & Analytics (BI&A) systems are well recognized as an essential concept to support decision making of employees. One important and frequently used BI&A system component are dashboards. BI&A dashboards enable collecting, summarizing, and presenting business information from different resources to decision makers. When working with BI&A dashboards, interruptions and resulting task resumption failures have negative consequences on decision-making processes. This research in progress paper addresses this problem and provides design knowledge for attention-aware BI&A dashboards that support users during task resumption. We follow a Design Science Research (DSR) approach and derive theory-grounded design principles for task resumption support on BI&A dashboards. Moreover, to evaluate the suggested principles, an instantiation is realized. In our instantiation, real-time tracking of eye-movement data is used to capture visual attention of the users and provide visual feedback after task resumption. We introduce testable hypotheses and present preliminary results of a pre-test lab experiment

Dashboards and visualisation tools for enhancing creativity in business master students

[EN] Dashboards are a basic element in Data Science. Well planned dashboards help the staff of a company at all levels of the organization. They allow them to ask questions and respond them in real time. As a result, this information allows them to make appropriate decisions and facilitates innovation. A fundamental component in the dashboards are the visualizations by means of dynamic graphic objects that can be explored. These visualizations must be analyzed dynamically so that business master students can intuitively arrive at a series of insights that bring them closer to the nature of the problems. Learning by doing and consulting. We are going to use a dashboard about innovation elaborated by Bankinter Fundation in the Platform Google Data Analytics. The proposed teaching dynamic includes the formation of work teams of 5-7 students. The challenge start when each group pose several questions to the rest of the teams. To answer these questions the students must consult the proposed dashboard. There is a time limit to answer each question. The winner is the team that answers correctly more questions and explains the way to obtain this information. This way, students get used to dashboards and visualisation tools and start learning with a good dashboard model that prepares them to later select and design proper tools. As a further result, we have appreciated that using visualisation in teaching can increase student engagement and performance.González-Ladrón-De-Guevara, F.; Fernández-Diego, M. (2021). Dashboards and visualisation tools for enhancing creativity in business master students. IATED. 8799-8804. https://doi.org/10.21125/inted.2021.1836S8799880

Designing Attentive Information Dashboards

Information dashboards are a critical capability in contemporary business intelligence and analytics systems. Despite their strong potential to support better decision-making, the massive amount of information they provide challenges users performing data exploration tasks. Accordingly, dashboard users face difficulties in managing their limited attentional resources when processing the presented information on dashboards. Also, studies have shown that the amount of concentrated time humans can spend on a task has dramatically decreased in recent years; thus, there is a need for designing user interfaces that support users attention management. In this design science research project, we propose attentive information dashboards that provide individualized visual attention feedback (VAF) as an innovative artifact to solve this problem. We articulate theoretically grounded design principles and instantiate a software artifact leveraging users eye movement data in real time to provide individualized VAF. We evaluated the instantiated artifact in a controlled lab experiment with 92 participants. The results from analyzing users eye movement after receiving individualized VAF reveal that our proposed design has a positive effect on users attentional resource allocation, attention shift rate, and attentional resource management. We contribute a system architecture for attentive information dashboards that support data exploration and two theoretically grounded design principles that provide prescriptive knowledge on how to provide individualized VAF. Practitioners can leverage the prescriptive knowledge derived from our research to design innovative systems that support users information processing by managing their limited attentional resources

Biodiversity and ecosystem services dashboards to inform landscape and urban planning: a systematic analysis of current practices

Guiding the transformation of cities and regions towards more sustainable pathways requires a deep understanding of the complexities of socio-ecological systems. This entails gaining insights into the status and trends of biodiversity, ecosystems and their services (BES), as well as navigating complex governance and power structures, particularly in contested spaces. Digital dashboards, understood as visual representations of key information, could effectively communicate complex BES information to decision makers and planners in landscape and urban planning, enabling more informed decisions. While dashboards are increasingly being used in spatial-related applications, the lack of scientific understanding regarding the emerging applications of BES information in dashboards underscores the pressing need for research and review in this area. This study aims to identify and analyze contemporary case studies of BES dashboard applications to explore their potential role, which can effectively support decision-making in landscape and urban planning. We develop a conceptual framework of interlinkages between BES dashboards and landscape planning processes and apply this framework to analyze 12 state-of-the-art BES dashboard applications from Asia, Australia, Europe, North and South America. Our results reflect emerging practices of dashboards visualizing BES information, which varied in purposes, content, functionalities, visual design, and output features. The dashboards represented/covered a total of 66 BES indicators, including tree health, forest status and functionality, green and blue spaces connectivity, and specific components of biodiversity. Further research on user demands and real-world impacts is necessary to enhance the effectiveness of BES dashboards in informing landscape and urban planning for people and nature

An Approach for the Automated Generation of Engaging Dashboards

Organizations use Key Performance Indicators (KPIs) to monitor whether they attain their goals. To support organizations at tracking the performance of their business, software vendors offer dash boards to these organizations. For the development of the dashboards that will engage organizations and enable them to make informed deci sions, software vendors leverage dashboard design principles. However, the dashboard design principles available in the literature are expressed as natural language texts. Therefore, software vendors and organizations either do not use them or spend significant efforts to internalize and apply them literally in every engaging dashboard development process. We show that engaging dashboards for organizations can be automati cally generated by means of automatically visualized KPIs. In this con text, we present our novel approach for the automated generation of engaging dashboards for organizations. The approach employs the deci sion model for visualizing KPIs that is developed based on the dashboard design principles in the literature. We implemented our approach and evaluated its quality in a case study.Ministerio de Economía y Competitividad BELI (TIN2015-70560-R)Ministerio de Ciencia, Innovación y Universidades OPHELIA RTI2018-101204-B-C2

Visual Management Implementation at Primetals Technologies

Our project goal was to produce a visual management system for the MMD-2 and VMC-5 machines at Primetals. We defined the relevant key process indicators (KPIs), produced a specification detailing the importance of specific KPIs and relevant data. We produced a visual design which was then modeled using python to make a functioning application. We then performed market research and a business analysis to compare alternative software for Primetals. Our MQP deliverables are: KPI specification of important KPIs, a visual design of a screen, an application mockup, market analysis of alternative software options, and a business analysis of selected companies. After conducting qualitative, quantitative and business analysis we concluded that Predator MDC is the preferred software alternative