scholarly journals Data visualization process through storytelling technique in Business Intelligence

Author(s):  
Andrés Gutiérrez ◽  
Cynthia B. Pérez

New technologies have allowed corporations to collect, store and manage huge quantities of data, being necessary in their daily management. Hence, business intelligence and data analytics have become an important and rapidly growing area of study that reflects the impact of data-related problems to be solved in business organizations. However, it is difficult to recognized patterns and draw conclusions from large amount of data and also, understand the stories of such information. We propose a methodology based on storytelling technique in order to improve the perception and interpretation of the data with the aim to make the information more memorable for people.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nathanaël Betti ◽  
Gerrit Sarens

Purpose This paper aims to gain an in-depth understanding of how the internal audit function evolves in an increasingly digitalised business environment. Design/methodology/approach This paper is based on 29 semi-structured interviews with members of management committees and internal auditors based in Belgium. Findings The analysis reveals that a digitalised business environment affects the internal audit function in three respects. First, it impacts its scope. The agility of the internal audit planning and the required digital knowledge are expected to increase and information technology (IT) risks gain importance, especially cybersecurity threats. Second, the demand for consulting activities performed by internal auditors is higher and third, digitalisation modifies the working practices of internal auditors in their day-to-day tasks. New technologies such as data analytics tools are being implemented progressively in internal audit departments and digital skills are considered a critical asset. Research limitations/implications This research was conducted in the European Union and gathers opinions of members of management committees and internal auditors. Future research could focus on other internal auditing stakeholders in other legal contexts. Practical implications The internal audit function needs to integrate IT and data analytics skills. In addition, the internal audit function should develop consulting activities to help organisations deal with the digitalisation of the business environment. Originality/value The impact of digitalisation on the internal audit function and its effect on internal audit practices is an underexplored area.


Author(s):  
Fahima Khanam ◽  
Itisha Nowrin ◽  
M. Rubaiyat Hossain Mondal

Since December 2019 the world is experiencing a deadly disease caused by a novel coronavirus termed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease associated with this virus is known as COVID-19. This paper focuses on COVID-19 based on freely available datasets including the ones in Kaggle repository. Data analytics is provided on a number of aspects of COVID-19 including the symptoms of this disease, the difference of COVID-19 with other diseases caused by severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and swine flu. The impact of temperature on the spread of COVID-19 is also discussed based on the datasets. Moreover, data visualization is provided on the comparison of infections in males/females which shows that males are more prone to this disease and the older people are more at risk. Based on the data, the pattern in the increase of confirmed cases is found to be an exponential curve in nature. Finally, the relative number of confirmed, recovered and death cases in different countries are shown with data visualization.


2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Seth Cochran

Aims: The aim of Operation Fistula’s ongoing work is to incentivize our partnering clinical teams by providing performance-based funding. We do this using a coordinated chain of business intelligence tools, and by sharing detailed customized visual dashboards so they can track both patient outcomes and surgical performance. We have repurposed a number of leading business intelligence tools to create a patient tracking and performance management system. This platform combines several technologies to collect, store, and analyze data, which we communicate with our partners. Methods: In order for data to be collected into our system, our partner surgeons and nurses input patient data directly into customized, standardized, electronic forms on a tablet or phone. Results are uploaded in real time, and feed into the data visualization software. Our London-based team is then able to create data visualization dashboards, based on the collected data, which are shared with stakeholders in our partnering countries. Results: We are tracking surgical outcomes using our mobile data collection and visualization programmes. We are also measuring the impact of the digital performance-based funding model, currently being used in the SAVA region in Madagascar. Our partnering clinical teams have responded positively to the introduction of our system, which we have found to ensure quality standards of care. Conclusions: The initial phase of this work has yielded positive results. We have seen increased engagement and motivation from our partnering clinical staff, which exemplifies how both a performance-based funding system, and access to digestible data, can improve surgical performance.


2021 ◽  
Author(s):  
John F. Brennan ◽  
Christopher R. Prentice ◽  
Kirsten L. Kinzer ◽  
Jeffrey L. Brudney

Abstract In this research, we sought to better understand important trends and developments in the teaching of quantitative and research methods courses in graduate public affairs programs. We were specifically interested in the following areas related to the teaching of quantitative and research methods: the impact of new technologies on curriculum delivery; the content of courses related to statistical analysis and research design; and the importance of numeracy, ethics, and data visualization. We surveyed quantitative and research methods instructors in graduate public affairs programs using the same survey instrument at two intervals eight years apart and analyzed results from each period side-by-side. Findings indicate some stark differences in the content and delivery of these courses. Given the timing of the second survey – Spring 2021 – findings are considered within the context of the COVID-19 pandemic.


Author(s):  
Dimitar Dimitrov ◽  
◽  
Radko Radev ◽  

The ongoing COVID-19 pandemic is having a tremendous impact on the business organizations, governments and people around the Globe. No matter if it is a public, or private organization, the leaders and management have changed their approaches, standard operations, the way they communicate, processes and procedures. In this paper is analyzed the impact of Data Analytics on two main management pillars and more specifically: Business Operations and Human Resources Management; more precisely, how they are impacted and changed in the pandemics. We analyzed how Global IT Companies are reacting and using analytics as a tool that helps them in the day to day operations, representing some used models and patterns.


2018 ◽  
Vol 9 (4) ◽  
pp. 10
Author(s):  
Joao Florencio da Costa Junior ◽  
Julio Francisco Dantas de Rezende ◽  
Eric Lucas dos Santos Cabral ◽  
Davidson Rogerio de Medeiros Florentino ◽  
Adolfo Rebouças Soares

The present article seeks to describe how Big Data impacts on SMEs strategy, focusing both on planning and the use of strategy tools. It is a result of a participatory and practical action research in a small British Company ($2.5 Million annual turnover) specialized in business intelligence, conferences and tradeshows during 2014 to 2017. Throughout the research period, Big Data had a profound and multifaceted impact on the strategy and operations of the company, resulting in the changing of its products, adoption of new and more dynamic CRM systems, rethinking of the strategic tools utilized by the senior management and definition of new long term strategic goals. As a conclusion, it was noted that cultural predisposition to adopt Big Data technologies had a defining influence over the course of the strategic planning and operations; as the strategy for Big Data has to go beyond simply implementing technological changes – it actually has to exist before the adoption of new technologies is even considered – demanding commitment from the senior management team as well as the operational side of the business.


Author(s):  
Albena Antonova

As social and environmental struggles intensify, the raising economic and social role of not for profits will continue to expand globally. Not for profit organizations have the potential to mobilize digitally-enabled communities and to work on various global challenges, overcoming the limitations of governmental institutions, local and short-term perspectives of public administration and private interests of business organizations. The present research aims to reassess the business models and value creation behind NFP operational models, their role for social innovation, the impact of the new technologies and the characteristics of the emerging digital communities. Further, there will be discussed the new perspectives for NFP development as innovative instruments, protecting social interests between government and private organizations, and contributing to solve increasing social problems.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fen Ji ◽  
Ai Tia

PurposeAccurate evaluation of the consequences of new technologies in various industries is of great significance. So, it will be essential to examine the impact of this technology on the banking industry, representing how to create, deliver and gain value in this industry. This study aims to investigate whether blockchain can affect the business intelligence efficiency of banks. This study also aims to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, decentralization and sustainability of blockchain, accountability and transparency of blockchain, quality, speed and efficiency of blockchain on business intelligence efficiency.Design/methodology/approachTechnological changes are creating new challenges and opportunities for various industries. The inability of organizations to adapt to these changes may even lead to their deletion from the market. Blockchain is one of the most critical technologies in recent years. One of the sectors that will undergo significant changes in blockchain technology is the banking industry. According to the reviewed literature in this study, a comprehensive model has been proposed to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, the decentralization and sustainability of blockchain, accountability and transparency of blockchain and quality, speed and efficiency of blockchain on business intelligence efficiency. A survey method was used to collect data from banks of the Nanjing city. The partial least square technique was used for data analysis.FindingsThe results showed that the fit of the proposed model was very good. Also, all assumptions except one were confirmed. It means that security, fraud reduction and privacy of blockchain factor have a remarkable and positive impact on all aspects of business intelligence efficiency, namely information technology, employees, competitors and customers. Also, equal and anonymous access to the blockchain factor has a positive and significant effect on all aspects of business intelligence efficiency. The decentralization and sustainability of blockchain factors have an impact on business intelligence efficiency. Also, blockchain's accountability and transparency as a fourth factor have a positive and significant impact on all aspects of business intelligence efficiency. Finally, the last factor (quality, speed and efficiency of blockchain) has a positive and significant effect on information technology, employees and customers' dimensions. But, it does not affect the competitors' dimension, and this hypothesis has not been confirmed.Practical implicationsThis paper offers valuable insight for business intelligence practitioners into how blockchain technology has the potential to disrupt existing business intelligence provisions.Originality/valueThis paper is one of the first studies to examine the impact of blockchain on IT dimension, organizational employees' dimension, customer dimension and competitors' dimension. It lays a firm foundation for future research.


2021 ◽  
pp. 11-30
Author(s):  
Rosa Lombardi ◽  
Raffaele Trequattrini ◽  
Federico Schimperna ◽  
Myriam Cano-Rubio

This research proposes a systematic literature review (SLR) of the application of big data, analytics, business intelligence, and artificial intelligence to company management and strategic control. Thus, this paper attempts to answer the following research questions: 1) How is the literature on the application of big data, analytics, business intelligence, and artificial intelligence to management and strategic control developed in the business, management and accounting fields? 2) On which aspects of this application does the literature focus? 3) What are the implications that arise for companies? In this paper, we used a longitudinal study of research documents in the form of last-decade literature collected from Scopus database as the leading source for the international scenario. After, we selected business, management, and accounting areas, and screened the titles and abstracts of the research documents, we based the final result on 60 scientific documents as sources relevant to the aim of this SLR. The findings highlight four main topic clusters. We specifically explain smart technologies' usefulness for each analyzed business function, and, while adopting a critical perspective, we point out the interesting current streams of research resulting from the application of new sources of technology. We conclude by proposing valuable insights gleaned from the study. Thus, our results are useful for both the academic and the professional community.


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