scholarly journals Data-driven Storytelling to Support Decision Making in Crisis Settings: A Case Study

2021 ◽  
Vol 27 (10) ◽  
pp. 1046-1068
Author(s):  
Andrea Lezcano Airaldi ◽  
Jorge Andres Diaz-Pace ◽  
Emanuel Irrazábal
Keyword(s):  
Decision Making ◽  
Best Practices ◽  
Data Visualization ◽  
Data Driven ◽  
Decision Making Process ◽  
Health Crisis ◽  
General Practices ◽  
Information Comprehension ◽  
Support Decision Making

Data-driven storytelling helps to communicate facts, easing comprehension and decision making, particularly in crisis settings such as the current COVID-19 pandemic. Several studies have reported on general practices and guidelines to follow in order to create effective narrative visualizations. However, research regarding the benefits of implementing those practices and guidelines in software development is limited. In this article, we present a case study that explores the benefits of including data visualization best practices in the development of a software system for the current health crisis. We performed a quantitative and qualitative analysis of sixteen graphs required by the system to monitor patients' isolation and circulation permits in quarantine due to the COVID-19 pandemic. The results showed that the use of storytelling techniques in data visualization contributed to an improved decision-making process in terms of increasing information comprehension and memorability by the system stakeholders.

scholarly journals Data Storytelling with Dashboard: Accelerating Understanding Through Data Visualization in Financial Technology Company Case Study

Jurnal METRIS ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ferdian Suprata
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Rapid Development ◽  
Data Driven ◽  
Decision Making Process ◽  
Business Practices ◽  
Context Data ◽  
The Impact ◽  
Financial Technology

In the rapid development many organisation rely on context data to support as well as to assist its decision making process. Consequently, Business Intelligence (BI), Dashboard, and Data Visualization emerged as primary tools in early 1990s as a way to help practitioners, data analyst, and data scientist to present context data into an actionable information for decision making process. However, despite its robust and powerful tools, recent study done by Kaggle’s survey in 2017 resulted that in the last five years, many companies were not able to create effective data-driven dashboard due to complex dataset, poor dashboard design, and insufficient storytelling. Hence, understanding of who is going to use dashboard, choosing which data and metrics to visualize in the right context, knowing how to convey information, driving engagement, and persuading audiences are essential in current business practices. This study is aimed to help practitioners to understand the impact of effective dashboard can have on decision making process, to design leveraging dashboard, and to present the dashboard in storytelling. A literature study is performed to gather all relevant information resulted in guidelines for dashboard creator. Case study in financial technology company is applied to experiment and to test the guidelines for assisting dashboard creator to present data-driven insight to the stakeholder.

scholarly journals BITOUR: A Business Intelligence Platform for Tourism Analysis

2020 ◽  
Vol 9 (11) ◽  
pp. 671
Author(s):  
Alexander Bustamante ◽  
Laura Sebastia ◽  
Eva Onaindia
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Processing ◽  
Data Visualization ◽  
Business Intelligence ◽  
Data Sources ◽  
Data Driven ◽  
Decision Making Process ◽  
The Core ◽  
Processing Data

Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness. This article presents BITOUR, a BI platform that integrates four collaborative data sources (Twitter, Openstreetmap, Tripadvisor and Airbnb). BITOUR follows a classical BI architecture and provides functionalities for data transformation, data processing, data analysis and data visualization. At the core of the data processing, BITOUR offers mechanisms to identify tourists in Twitter, assign tweets to attractions and accommodation sites from Tripadvisor and Airbnb, analyze sentiments in opinions issued by tourists, and all this using geolocation objects in Openstreetmap. With all these ingredients, BITOUR enables data analysis and visualization to answer questions like the most frequented places by tourists, the average stay length or the view of visitors of some particular destination.

scholarly journals HEURISTIC THINKING ON DATA VISUALIZATION BASED ON DASHBOARD CASE STUDIES AT NATIONAL HOSPITAL SURABAYA

2021 ◽  
Vol 4 (1) ◽  
pp. 106-113
Author(s):  
R Hendarto Oktavianus ◽  
Dedhy Sulistiawan
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Study Data ◽  
Qualitative Approach ◽  
Decision Making Process ◽  
Literature Study ◽  
National Hospital ◽  
Rational Decision Making ◽  
Lead Users ◽  
Support Decision Making

Dashboard-based data visualization has various information is an option for presenting data is expected to support decision making. The ease of the dashboard isn't perfect, but it also has weakness. The nature of heuristic thinking makes users behave inconsistent with the rational decision-making process tobe an important issue. This study was conducted to explain the heuristic thinking behavior phenomenon from dashboard-based data visualization in the decision-making process. A qualitative approach is used with procedures and data collection based on interview techniques, observation and literature study. Data were observed from the National Hospital, Surabaya. The result is there is a bias in seeing data in a visual form, someone will tend to simplify the decision-making process. The contribution of this study is heuristic thinking on dashboard-based data visualization which can lead users to make irrational decisions.

Steps for Success: Making Instructional Decisions for Students’ Essay Writing

2021 ◽  
pp. 004005992110010
Author(s):  
Kelley Regan ◽  
Anya S. Evmenova ◽  
Amy Hutchison ◽  
Jamie Day ◽  
Madelyn Stephens ◽  
...  
Keyword(s):  
Decision Making ◽  
Academic Growth ◽  
Data Driven ◽  
Instructional Decisions ◽  
Decision Making Process ◽  
Essay Writing ◽  
Student Academic Growth ◽  
Instructional Decision ◽  
Data Driven Decisions

The process of analyzing student data to determine an appropriate instructional decision is crucial for student academic growth. This article details how teachers can make data-driven decisions to carefully design writing instruction. Steps are presented for teachers to follow throughout the data driven decision-making process in order to meet students’ specific needs when they are writing an essay. A case study is provided throughout the article to illustrate how students and teachers may navigate through this process while using a technology-based graphic organizer.

Did Groupthink or Polythink Derail the 2016 Raqqa Offensive?

2019 ◽  
Author(s):  
Kasey Barr ◽  
Alex Mintz
Keyword(s):  
Decision Making ◽  
Group Dynamics ◽  
Decision Making Process ◽  
Islamic State ◽  
Study Analysis ◽  
Strategic Decisions ◽  
Case Study Analysis ◽  
The Us ◽  
Tactical Decisions

This chapter examines the effect of group dynamics on the 2016 decision within the administration of President Barack Obama to lead the international coalition in a mission to liberate Raqqa, Syria, from the Islamic State. The authors show that whereas the groupthink syndrome characterized the decision-making process of the US-led coalition’s decision to attack Raqqa, it was polythink that characterized the decision-making dynamics both in the US-led coalition and within the inner circle of Obama’s own foreign policy advisors. Through case-study analysis, the authors illustrate that groupthink is more likely in strategic decisions, whereas polythink is more likely in tactical decisions.

Autonomy and Decision-making Ability among Gujjar Women of Kashmir: A Study of Khan Sahib Tehsil in District Budgam

2021 ◽  
Vol 28 (1) ◽  
pp. 90-103
Author(s):  
Wasia Hamid ◽  
Tanveer Ahmad Khan ◽  
Mohmad Saleem Jahangir
Keyword(s):  
Decision Making ◽  
Employment Status ◽  
Sampling Technique ◽  
Decision Making Process ◽  
Kashmir Valley ◽  
Tribal Women ◽  
Size Type ◽  
Women In Decision Making ◽  
Case Study Methods

The present study investigates the level of empowerment among tribal women in terms of their participation in the decision-making process and to identify the factors that affect their level of participation. Fifty women from the Gujjar community of Kashmir Valley were selected through a purposive sampling technique. The interview and case study methods were employed for collecting data from the potential participants. The study revealed that tribal women’s right to make decisions was confined to minor household issues only. A significant positive correlation was also noted between family size, type of family, age, level of education, employment status and participation of the tribal women in decision-making.

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