Data systems and decision-making: State intellectual/developmental disability agencies and their employment data collection systems

2014 ◽  
Vol 41 (3) ◽  
pp. 179-191 ◽  
Author(s):  
Allison Cohen Hall ◽  
Jean Winsor ◽  
John Butterworth
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Developmental Disability ◽  
Data Systems ◽  
Employment Data

Business Intelligence: How Sport Scientists Can Support Organization Decision Making in Professional Sport

2019 ◽  
Vol 14 (4) ◽  
pp. 544-546 ◽  
Author(s):  
Patrick Ward ◽  
Johann Windt ◽  
Thomas Kempton
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Data Collection ◽  
Business Intelligence ◽  
Professional Sport ◽  
Data Systems ◽  
Decision Support Model ◽  
Systematic Analysis ◽  
Domain Specific ◽  
Specific Expertise

The application of scientific principles to inform practice has become increasingly common in professional sports, with increasing numbers of sport scientists operating in this area. The authors believe that in addition to domain-specific expertise, effective sport scientists working in professional sport should be able to develop systematic analysis frameworks to enhance performance in their organization. Although statistical analysis is critical to this process, it depends on proper data collection, integration, and storage. The purpose of this commentary is to discuss the opportunity for sport-science professionals to contribute beyond their domain-specific expertise and apply these principles in a business-intelligence function to support decision makers across the organization. The decision-support model aims to improve both the efficiency and the effectiveness of decisions and comprises 3 areas: data collection and organization, analytic models to drive insight, and interface and communication of information. In addition to developing frameworks for managing data systems, the authors suggest that sport scientists’ grounding in scientific thinking and statistics positions them to assist in the development of robust decision-making processes across the organization. Furthermore, sport scientists can audit the outcomes of decisions made by the organization. By tracking outcomes, a feedback loop can be established to identify the types of decisions that are being made well and the situations where poor decisions persist. The authors have proposed that sport scientists can contribute to the broader success of professional sporting organizations by promoting decision-support services that incorporate data collection, analysis, and communication.

Data Collection

1994 ◽  
Vol 3 (3) ◽  
pp. 55-66 ◽  
Author(s):  
Lesley B. Olswang ◽  
Barbara Bain
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Treatment Efficacy ◽  
Qualitative Information ◽  
Treatment Progress ◽  
Clinical Process ◽  
Birthday Party ◽  
Speech Language Pathologist ◽  
Intuitive Decision Making ◽  
Decision Making Model

For many of us, not having data concerning a client’s progress during treatment is tantamount to being unprepared for a lecture, or showing up at a birthday party without a present—totally unthinkable. This zealous position is based on the assumption that clinical decisions regarding treatment efficacy should be based on data. Data, in this case, refers to both quantitative and qualitative information that provides evidence for deciding the course of treatment. This is not to say that data can and should be collected on every aspect of the clinical process. Indeed, intuitive decision-making on the part of the speech-language pathologist is often warranted. But in general, a series of decisions regarding whether or not treatment is working, can and should be based on data. This article examines the ways in which we can measure treatment progress, and provides guidelines for the reader in the use of a data-based, decision-making model.

Using digital data collection tools to improve overall cost-efficiency and provide timely analysis for decision making during invasive species eradication campaigns

2014 ◽  
Vol 41 (6) ◽  
pp. 499 ◽  
Author(s):  
David J. Will ◽  
Karl J. Campbell ◽  
Nick D. Holmes
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Cost Efficiency ◽  
Relational Databases ◽  
Cost Effective ◽  
Digital Data ◽  
Capital Costs ◽  
Project Costs ◽  
Time Required ◽  
Data Collection Effort

Context Worldwide, invasive vertebrate eradication campaigns are increasing in scale and complexity, requiring improved decision making tools to achieve and validate success. For managers of these campaigns, gaining access to timely summaries of field data can increase cost-efficiency and the likelihood of success, particularly for successive control-event style eradications. Conventional data collection techniques can be time intensive and burdensome to process. Recent advances in digital tools can reduce the time required to collect and process field information. Through timely analysis, efficiently collected data can inform decision making for managers both tactically, such as where to prioritise search effort, and strategically, such as when to transition from the eradication phase to confirmation monitoring. Aims We highlighted the advantages of using digital data collection tools, particularly the potential for reduced project costs through a decrease in effort and the ability to increase eradication efficiency by enabling explicit data-informed decision making. Methods We designed and utilised digital data collection tools, relational databases and a suite of analyses during two different eradication campaigns to inform management decisions: a feral cat eradication utilising trapping, and a rodent eradication using bait stations. Key results By using digital data collection during a 2-year long cat eradication, we experienced an 89% reduction in data collection effort and an estimated USD42 845 reduction in total costs compared with conventional paper methods. During a 2-month rodent bait station eradication, we experienced an 84% reduction in data collection effort and an estimated USD4525 increase in total costs. Conclusions Despite high initial capital costs, digital data collection systems provide increasing economics as the duration and scale of the campaign increases. Initial investments can be recouped by reusing equipment and software on subsequent projects, making digital data collection more cost-effective for programs contemplating multiple eradications. Implications With proper pre-planning, digital data collection systems can be integrated with quantitative models that generate timely forecasts of the effort required to remove all target animals and estimate the probability that eradication has been achieved to a desired level of confidence, thus improving decision making power and further reducing total project costs.

LATAR BELAKANG PENGAMBILAN KEPUTUSAN VLADIMIR PUTIN ATAS ISU KRIMEA

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Osvaldo Victor Alfonso ◽  
Agung Yudhistira Nugroho
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Identity Politics ◽  
Research Method ◽  
Qualitative Method ◽  
Military Intervention ◽  
Electronic Media ◽  
Economic Politics ◽  
Rational Choices ◽  
Vladimir Putin

AbstrakPenelitian ini menggambarkan tentang berbagai latar belakang pengambilan keputusan Putin atas isu Krimea yang melihat dasar-dasar pengambilan keputusan seperti intuisi, pengalaman, fakta, wewenang, dan rasionalitas yang memengaruhi Putin dalam melakukan aksi aneksasi Krimea tersebut. Dalam penulisan skripsi ini, sang penulis menggunakan kerangka teori Pengambilan Keputusan (Decision Making) yang merupakan topik utama sekaligus pisau analisa dalam penelitian ini. Metode penelitian yang digunakan oleh sang penulis dalam penyusunan skripsi ini adalah metode kualitatif. Adapun teknik pengumpulan data yang digunakan oleh sang penulis dalam memperoleh data adalah melalui wawancara dan studi pustaka yang menelaah sejumlah buku, jurnal, artikel ilmiah, dan media elektronik. Hasil penelitian menunjukkan bahwa latar belakang pengambilan keputusan Vladimir Putin adalah berdasarkan pilihan rasional dengan melihat pertimbangan materil seperti memberi keuntungan di sektor keamanan, ekonomi, politik, memberikan peluang Rusia menjadi negara adidaya, dan pengamanan jalur pipa gas Rusia di Ukraina dan Krimea. Yang menarik dari tindakan yang diinisiasi oleh Putin itu adalah aksi tersebut dalam merebut suatu wilayah tanpa pencurahan darah. Ini adalah hal yang menarik bagi sang penulis karena bagaimana mungkin suatu intervensi militer di suatu wilayah tidak terjadi penyerangan dari pihak luar ke dalam suatu wilayah, dalam hal ini adalah aksi Rusia kepada Krimea. Politik keamanan, politik identitas, dan politik ekonomi mewarnai Putin dalam pengambilan keputusannya atas isu Krimea tersebut.Kata Kunci: Vladimir Putin, Pengambilan Keputusan, Pilihan                          Rasional, Rusia, Krimea, Ukraina.Abstract This research describes the various backgrounds of Putin's decision making on the Crimean issue which looks at the basics of decision making such as intuition, experience, facts, authority and rationality that influenced Putin in carrying out the Crimean annexation. In writing this thesis, the writer uses the theoretical framework of Decision Making which is the main topic as well as the analysis knife in this research. The research method used by the author in the preparation of this thesis is a qualitative method. The data collection techniques used by the author in obtaining data are through interviews and literature studies that examine a number of books, journals, scientific articles, and electronic media. The results show that the background of Vladimir Putin's decision making is based on rational choices by looking at material considerations such as providing benefits in the security, economic, political sectors, giving Russia the opportunity to become a superpower, and securing Russian gas pipelines in Ukraine and Crimea. What's interesting about the action initiated by Putin is that it seizes an area without shedding blood. This is an interesting matter for the author because how could a military intervention in a region not occur from outside attacks into an area, in this case Russia's action against Crimea. Security politics, identity politics and economic politics colored Putin in his decision making on the Crimean issue. Keywords:  Vladimir Putin, Decision Making, Rational Choice,                          Rusia, Crimea, Ukraine.

scholarly journals Manager perceptions of big data reliability in hotel revenue management decision making

2019 ◽  
Vol 36 (1) ◽  
pp. 25-39 ◽  
Author(s):  
David Egan ◽  
Natalie Claire Haynes
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Revenue Management ◽  
Management Decision ◽  
Local Market ◽  
Data Systems ◽  
Local Data ◽  
Content Type ◽  
User Input ◽  
Management Decision Making

PurposeThe purpose of this paper is to investigate the perceptions that managers have of the value and reliability of using big data to make hotel revenue management and pricing decisions.Design/methodology/approachA three-stage iterative thematic analysis technique based on the approaches of Braun and Clarke (2006) and Nowell et al. (2017) and using different research instruments to collect and analyse qualitative data at each stage was used to develop an explanatory framework.FindingsWhilst big data-driven automated revenue systems are technically capable of making pricing and inventory decisions without user input, the findings here show that the reality is that managers still interact with every stage of the revenue and pricing process from data collection to the implementation of price changes. They believe that their personal insights are as valid as big data in increasing the reliability of the decision-making process. This is driven primarily by a lack of trust on the behalf of managers in the ability of the big data systems to understand and interpret local market and customer dynamics.Practical implicationsThe less a manager believes in the ability of those systems to interpret these data, the more they perceive gut instinct to increase the reliability of their decision making and the less they conduct an analysis of the statistical data provided by the systems. This provides a clear message that there appears to be a need for automated revenue systems to be flexible enough for managers to import the local data, information and knowledge that they believe leads to revenue growth.Originality/valueThere is currently little research explicitly investigating the role of big data in decision making within hotel revenue management and certainly even less focussing on decision making at property level and the perceptions of managers of the value of big data in increasing the reliability of revenue and pricing decision making.

scholarly journals Gambaran Tingkat Kepatuhan Membaca Label Pangan pada Mahasiswa Fakultas Sainsdan Teknologi Universitas Al Azhar Indonesia

2020 ◽  
Vol 5 (3) ◽  
pp. 151
Author(s):  
Dina Widiawati ◽  
Ema Komalasari
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Science And Technology ◽  
Food Labels ◽  
Food Label ◽  
Consumer Awareness ◽  
Collection Method ◽  
Data Collection Method ◽  
Data Collection Team

<p><em>Abstrak</em>-<strong>Kesadaran konsumen dalam membaca label pangan dan untuk memahami isi label pangan masih sangat rendah. Diperlukan analisis mengenai tingkat kepatuhan mahasiswa dalam membaca label pangan, sehingga mahasiswa memiliki pemahaman yang lebih baik terhadap label pangan. Responden pada penelitian ini adalah mahasiswa dari Fakultas Sains dan Teknologi Universitas Al Azhar Indonesia angkatan 2015-2018. Metode pengambilan data pada penelitian ini adalah melalui kuisioner. Responden akan mengisi sendiri kuisioner yang diberikan dengan mengikuti instruksi yang akan dijelaskan sebelum pengisian kuisioner oleh tim pengambil data. Responden pada penelitian ini berjumlah 90 orang dengan jumlah perempuan 53,33% dan laki-laki 46,67%. Pengetahuan responden mengenai label pangan ada pada kategori baik yaitu 82,22% dan kategori cukup 17,78%. Sedangkan untuk tingkat kepatuhan, responden yang memiliki tingkat kepatuhan tertinggi berada pada kategori cukup yaitu 61,11%, kategori baik 36,67%, dan kategori kurang 2,22%. Data pada penelitian ini menunjukkan bahwa pengetahuan responden mengenai label pangan ada pada kategori baik dan tingkat kepatuhan dalam membaca label pangan ada pada kategori cukup.</strong></p><p><em>Abstract</em>- <strong>Consumer awareness in reading food labels and understanding the contents of food labels are still very low. An analysis is needed on the level of student compliance in reading food labels, so students have a better understanding of food labels. Respondents in this study were students from the Faculty of Science and Technology of Al Azhar University Indonesia class of 2015-2018. The data collection method in this study was through a questionnaire. Respondent’s will fill in the questionnaire given themselves by following the instructions that will be explained before filling out the questionnaire by the data collection team. Respondents in this study numbered 90 people with 53,33% women and 46,67% men. Respondents knowledge about food labels is in the good category that is 82,22% and 17,78% enough category. As for the level of adherence, respondents who had the highest level of adherence were in the sufficient category, namely 61,11%, the good category 36,67%, and the less 2,22% category. The data in this study indicate that respondents' knowledge about food labels is in the good category and the level of compliance in reading food labels is in the sufficient category.</strong></p><p><strong><em>Keywords</em></strong>–<em>Food Label, Food Label Knowledge, Decision-Making,Level of Compliance</em></p>

scholarly journals Using Reproducible Data Visualizations to Augment Decision-Making During Suppression of Small Counts

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Andriy Koval ◽  
Kate Smolina ◽  
Anthony Leamon
Keyword(s):  
Decision Making ◽  
British Columbia ◽  
Quality Control ◽  
Chronic Diseases ◽  
Human Error ◽  
Data Systems ◽  
Quality Control Tool ◽  
Human Decision ◽  
And Function ◽  
Function Dependency

IntroductionWhen reporting disease rates to the public, a health system must take precaution to protect released data from re-identification risks. While specific guidelines and methods vary across data systems and governances 1 , redaction of cells with small values is a key component in any approach for preparing data for public release. These preparations, when conducted manually, have proven to be arduous, time consuming, and prone to human error. Although finding a “small” value (e.g. “< 5 ” ) is straightforward, detecting conditions in which suppressed values could be recalculated from related cells involves human judgement. Objectives and ApproachGuided by the real-world objective to reports the rates of chronic diseases in British Columbia, we aimed to design a reproducible workflow that would augment human decision-making and offer a nimble quality control tool, approachable by epidemiologists without technical background. Our workflow (1) splits data into disease-by-year data frames of a specific form, (2) applies a sequence of algorithms trained to recognize conditions that made recalculation of suppressed values possible and (3) prints a graph for each case of suggested automatic redaction to be confirmed by a human. ResultsThe augmented suppression system was successfully integrated into the maintenance of Chronic Disease Dashboard, an online reporting tool of the Observatory for Population and Public Health designed to address the gap in surveillance of chronic diseases in British Columbia. Anticipating the evolution of suppression logic, we isolated the logical tests responsible for redaction and provided several options to vary the degree of preserved information. Conclusion / ImplicationsInstead of employing a complex generalizable solution, we make a case for organizing the procedure for small cell redaction as a data visualization task, allowing for straightforward quality control of suppression decision and thus more approachable to a non-technical audience, as well as for employing such learning devices as workflow maps and function dependency trees for structuring applied projects and ensuring their reproducibility.

scholarly journals Wanprestasi dalam Perjanjian Kredit pada Lembaga Perkreditan Desa (LPD) di Desa Bebetin Kecamatan Sawan Kabupaten Buleleng

2021 ◽  
Vol 2 (2) ◽  
pp. 223-227
Author(s):  
Kadek Dwinta Pradnyasari ◽  
Johannes Ibrahim Kosasih ◽  
Desak Gde Dwi Arini
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Field Research ◽  
External Factors ◽  
Economic Factors ◽  
Legal Research ◽  
Internal Factors ◽  
Type Data ◽  
Research Type

Agreement is the most important source that gives birth to the engagement. One form of engagement in the sources of the agreement is the extension of credit from the bank. This research uses empirical legal research type, data collection techniques in this study using field research. The procedure for granting credit consists of several stages, namely the credit application stage, the location survey stage for prospective debtors, the analysis stage, the decision-making stage, and the credit disbursement stage. The results of the analysis found that the factors that cause default are internal factors and external factors. Internal factors are caused by debtors who are not credible and also unstable economic factors in the midst of the Covid-19 pandemic which caused debtors to be unable to pay arrears in the LPD. External factors from the LPD take a persuasive approach to further handling problematic debtors. The purpose of this study is the procedure for granting credit and binding credit agreements carried out in the LPD Desa Pakraman Bebetin, Sawan District, Buleleng Regency, how are the factors that cause default in LPD Desa Pakraman Bebetin, District of Sawan, District of Buleleng.

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