The Past, Present, and Future of Business Statistics: The Use of Data

2018 ◽  
Vol 6 (6) ◽  
Author(s):  
Laczka Éva
Keyword(s):  
The Past ◽  
Use Of Data ◽  
Business Statistics

scholarly journals Missing the (Data) Point? Analysis, Advocacy and Accountability in the Monitoring of Attacks on Healthcare in Syria

2020 ◽  
Vol 2 (2) ◽  
pp. 13-21
Author(s):  
Sophie Roborgh
Keyword(s):  
Production Process ◽  
Knowledge Production ◽  
Healthcare Workers ◽  
Data Gathering ◽  
The Past ◽  
Humanitarian Response ◽  
Use Of Data ◽  
Point Analysis ◽  
Data Point ◽  
Data Point Analysis

Monitoring of attacks on healthcare has made great strides in the past decade, even if improvement in information has not necessarily resulted in changes on the ground. However, important questions on the knowledge production process continue to be under-explored, including those pertaining to the objectives of monitoring efforts. What does our data actually tell us? Are we missing the (data) point? This paper explores several monitoring mechanisms, and analyses the limitations of the data-gathering exercise, affecting the ability of healthcare workers to share their experiences. By drawing on the experiences of those involved in the medical-humanitarian response in non-government controlled areas in Syria, these dynamics are further brought to the fore, advocating for a more discerning approach in the use of data for such disparate goals as analysis on patterns of attacks (and their implications), advocacy, and accountability.

Ionosonde and satellite data analysis in relation to the M5.9 April 6, 2009 L’Aquila (Italy) earthquake

2021 ◽  
Author(s):  
Dario Sabbagh ◽  
Loredana Perrone ◽  
Angelo De Santis ◽  
Saioa A. Campuzano ◽  
Gianfranco Cianchini ◽  
...  
Keyword(s):  
Critical Frequency ◽  
Epicentral Distance ◽  
Earthquake Magnitude ◽  
Ionospheric Disturbances ◽  
Champ Satellite ◽  
The Past ◽  
Use Of Data ◽  
Empirical Relations ◽  
Preparation Phase ◽  
Anticipation Time

<p>A combined ground-satellite study of the ionospheric response to the preparation phase of the M5.9 crustal earthquake occurred in L’Aquila (Italy) on April 6, 2009 is here presented. Ionospheric anomalies based on ionosonde observations of the altitude and blanketing frequency of the E-sporadic (Es) layer (<em>h</em>’Es and <em>f</em><sub>b</sub>Es, respectively) and of the critical frequency <em>f</em><sub>o</sub>F2 of the F2 layer are considered. For our analysis we make use of data from the Rome ionospheric observatory, located 90 km away from the earthquake epicentre, looking for anomalies up to a couple of months before the mainshock occurrence. Specifically, the variations for 2-3 hours of these parameters with respect to the past 27-day hourly running median are studied in relation to: (a) the ongoing geomagnetic activity during and several hours before the detection of the anomalies, as described by the values of the global a<sub>p</sub> and the auroral AE geomagnetic indices; (b) the earlier-obtained empirical relations for the seismic-ionospheric disturbances relating the earthquake magnitude with the epicentral distance and the anticipation time of the found anomalies. In addition, ionospheric anomalies in the electron density measured over the earthquake preparation region by the CHAllenging Minisatellite Payload (CHAMP) satellite at altitudes of about 320 km are studied in relation to the ionosonde-derived anomalies during the whole period preceding the mainshock occurrence.</p>

The fundamentals of performance measurement systems

2014 ◽  
Vol 63 (7) ◽  
pp. 879-922 ◽  
Author(s):  
Kwee Keong Choong
Keyword(s):  
Performance Measurement ◽  
Practical Significance ◽  
Performance Measurement System ◽  
Future Research ◽  
Research Gaps ◽  
Content Type ◽  
Non Profit ◽  
The Past ◽  
Use Of Data ◽  
Performance Measurement Systems

Purpose – The purpose of this paper is to identify the fundamentals of a performance measurement system (PMS) as discussed in the literature for the past 32 years in an attempt to provide a research agenda (RA) for future research. Design/methodology/approach – The paper uses a systematic review of the business, public and non-profit sector literature in examining what constitutes the fundamentals of PMS, and how these fundamentals have influenced the use of data (especially on non-financial data), development of measuring methods, measuring attributes and measuring process. Findings – The paper finds that there are a small number of articles providing that can be considered to have provided substantial discussion of the fundamentals of PMS. While there is no consensus on what constitute the fundamentals of PMS, using content analysis, citation analysis and on the strict criteria of necessary and/or sufficient for the existence of a PMS, this paper managed to characterize the fundamentals into six categories. This paper found that the field of PMS has not change much during the past 30 or more years, and there remains various pragmatic and research gaps that need to be addressed. Practical implications – The results, outcomes, and analysis of this paper have both practical and academic implications. The gaps and recommendations for future research is consolidated into a RA that provides practitioners to evaluate existing PMS, avoid issues and seek ways to develop a conceptual (theoretical) PMS that is of greater practical significance. Originality/value – The results of this study contribute toward providing an update of the current state of development and research into PMS; and managed to identify existing practical issues and research gaps of PMS, and provided a RA on which ongoing and future research efforts on this topic can be built upon.

scholarly journals The Use of Data Envelopment Analysis for Selection of Investment Objects

Ekonomika ◽  
2004 ◽  
Vol 66 ◽  
Author(s):  
Daiva Rimkuvienė
Keyword(s):  
Data Envelopment Analysis ◽  
Information Technologies ◽  
Policy Support ◽  
Data Envelopment ◽  
Analysis Method ◽  
Effective Work ◽  
The Past ◽  
Use Of Data ◽  
Enterprise Activity ◽  
Selection Of

Due to limited resources the State support can be delivered only to part of the enterprises that apply for it. To increase the effectiveness of investment policy, support has to be provided for enterprises having not only good financial results, but also perspectives of effective work in future. Commonly, more attention is paid to analysis of financial results. However, financial indexes describe the enterprise’s position in the past and do not reflect its possibilities of development. The estimation of an enterprise’s future effectiveness requires accounting for not only its financial results, but also for the efforts of employees to improve their qualification, to use information technologies, to use rationally natural resources. Those who analyse the enterprise’s activity in different aspects encounter problems of the object’s intercomparison due to the variability of the indexes. Data Envelopment Analysis allows to put the objects into a line according to a lot of criteria expressed in various measures, and to choose a number of input and output indexes. The paper presents the aspects estimating the future of an enterprise, the results of enterprise activity effectiveness evaluation using the Data Envelopment Analysis method, and a discussion about the possibilities to use this method.

scholarly journals Pengaruh Bauran Promosi terhadap Peningkatan Penjualan Kamar di Hotel Benua Bandung

2013 ◽  
Vol 4 (2) ◽  
pp. 776-790
Author(s):  
Dani Rahadian ◽  
Adithya Pratomo
Keyword(s):  
Positive Influence ◽  
Regression Method ◽  
The Past ◽  
Use Of Data

The purpose of this research is to find out the influence of promotion mix on the increase of room sale at Hotel Benua Bandung. The results of this research are expected to be used as consideration by the hotel manager in determining the influence of promotion mix on room sale, as well as using some other variables in promotion mix. This research was based on the use of data of all promotion costs and room sales at Hotel Benua Bandung during the past five years. Data were then processed by calculating the percentage using basic regression method on SPSS program. The findings proved a positive influence of promotion mix on the increase of room sales at Hotel Benua Bandung.

scholarly journals Review of Transit Data Sources: Potentials, Challenges and Complementarity

2021 ◽  
Vol 13 (20) ◽  
pp. 11450
Author(s):  
Liping Ge ◽  
Malek Sarhani ◽  
Stefan Voß ◽  
Lin Xie
Keyword(s):  
Public Transport ◽  
Data Sources ◽  
Management Framework ◽  
The Past ◽  
Use Of Data ◽  
Current State ◽  
Predictive Approaches ◽  
Passenger Behavior ◽  
Different Sources ◽  
Public Transport Service

Public transport has become one of the major transport options, especially when it comes to reducing motorized individual transport and achieving sustainability while reducing emissions, noise and so on. The use of public transport data has evolved and rapidly improved over the past decades. Indeed, the availability of data from different sources, coupled with advances in analytical and predictive approaches, has contributed to increased attention being paid to the exploitation of available data to improve public transport service. In this paper, we review the current state of the art of public transport data sources. More precisely, we summarize and analyze the potential and challenges of the main data sources. In addition, we show the complementary aspects of these data sources and how to merge them to broaden their contributions and face their challenges. This is complemented by an information management framework to enhance the use of data sources. Specifically, we seek to bridge the gap between traditional data sources and recent ones, present a unified overview of them and show how they can all leverage recent advances in data-driven methods and how they can help achieve a balance between transit service and passenger behavior.

The transdiagnostic revolution in neurodevelopmental disorders

2021 ◽  
Author(s):  
Duncan Astle ◽  
Joni Holmes ◽  
Rogier Kievit ◽  
Susan Elizabeth Gathercole
Keyword(s):  
Diagnostic Criteria ◽  
Study Design ◽  
Neurodevelopmental Disorders ◽  
Data Driven ◽  
Children And Families ◽  
The Past ◽  
Use Of Data ◽  
Approaches To Study ◽  
Underlying Reality ◽  
Guide Intervention

Practitioners frequently use diagnostic criteria to identify children with neurodevelopmental disorders and to guide intervention decisions. These criteria also provide the organising framework for the research of those disorders. Study design, recruitment, analysis and theory are largely built on the assumption that diagnostic criteria reflect an underlying reality. However, there is growing concern that this assumption may not be a valid and that an alternative transdiagnostic approach may better serve our understanding of this large heterogeneous population of young people. This review draws on important developments over the past decade that have set the stage for much-needed breakthroughs in understanding neurodevelopmental disorders. We evaluate contemporary approaches to study design and recruitment, review the use of data-driven methods to characterise cognition, behaviour and neurobiology, and consider what alternative transdiagnostic models could mean for children and families. This review concludes that an overreliance on ill-fitting diagnostic criteria is impeding progress towards identifying the barriers that children encounter, understanding underpinning mechanisms, and finding the best route to supporting them.

scholarly journals About Open Science and Autonomy of Science

2021 ◽  
Vol 3 (1) ◽  
pp. 52-63
Author(s):  
Paolo Budroni
Keyword(s):  
Data Science ◽  
Open Science ◽  
Lingua Franca ◽  
The Past ◽  
Use Of Data ◽  
European Science ◽  
Relevant Role ◽  
Autonomy Of Science ◽  
The Way

This article invites us to a concise walk through the past, offering insights defined by the major challenges science encountered during the centuries. Some lessons for today and tomorrow are enumerated in the three sections of the article, and they go beyond the relatively few perspectives offered by today's Data Science: Open Science (OS) is what has always happened and is nothing new, because science has always sought to be open. Esthetical values played a relevant role in the past. Former scientists recognized the intrinsic relation between the way they opened science and the way they followed the principles of beauty and the sense of esthetic. Their groundbreaking heritage still inspires us in being ready to open new ways in science. Whereas Latin was the original lingua franca of European science, and English is the recent lingua franca, the new lingua franca is software. Pieces of software are the filter, which connect researchers to the world, through layers of data. They assist in observing, in choosing, and in selecting. Open scientists should be aware of the fact that their autonomy in science depends on the quality of these pieces. Another lesson is that ethics—regarded as a source of innovative activities—must be a core component of innovative processes in OS, because society needs a responsible use of data and algorithms in corresponding practices that serve OS.

scholarly journals Using Existing Biodiversity Data to Prioritize Survey Areas in Atlas Projects

2019 ◽  
Vol 3 ◽  
Author(s):  
Laurens Sparrius
Keyword(s):  
Citizen Science ◽  
National Database ◽  
Distribution Data ◽  
Biodiversity Data ◽  
The Past ◽  
Use Of Data ◽  
Science Projects ◽  
Past Data ◽  
Data Coverage ◽  
Declining Species

Species distribution data is often collected in local and regional atlas projects, in which data is collected in grid squares to ensure optimal data coverage. Nowadays, many different data sources are available, and atlas projects often start with a large number of observations already being available. We show how existing biodiversity data can be used to determine spatial gaps in atlas projects. An citizen science atlas project for vascular plants in the Netherlands shows how existing data are is used to prioritize grid squares with outdated or missing surveys, and grid squares that should be searched for rare and declining species that have been reported in the past. Data from citizen science projects and professional flora surveys are combined in the National Database of Flora and Fauna (www.ndff.nl), which includes the use of data standards and extensive metadata on data collection protocols. This nearly complete database is used in citizen science projects to prioritize the survey of gaps. The concept of a continuously updated atlas scheme is established. Data can be use for several purposes, providing data for the national Red List, as well as reports on protected species, ecological studies, and the eradication of invasive species.

scholarly journals Use of Data Mining Techniques in Human Resource Management

2017 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Okaile R. Marumo ◽  
Tumisang Angela Mmopelwa
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Transformational Change ◽  
Decision Making Process ◽  
Data Mining Techniques ◽  
The Past ◽  
Use Of Data

In the past few years, Analytics has rapidly risen in among organizations within the field of human resource management. To the present date, however, Human Resource Analytics has not been subject to a lot of scrutiny from educational researchers. The aim of this paper is so to look at Different Mining Techniques could be implemented in the HR Department to enhance or support their decision making process. This will improve existing practices of HR analytics and will deliver transformational change indeed

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