scholarly journals Access to Finance for Small-and Medium-Sized Enterprises in Modern Reality

2020 ◽  
pp. 44-50
Author(s):  
T. Urumov
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Business Models ◽  
New Technologies ◽  
Digital Technologies ◽  
Big Data Analysis ◽  
Financial Resources ◽  
Digital Platforms ◽  
Online Forms

Small-and medium-sized Enterprises (SMEs) in many countries nowadays face financial shortages and challenges in attracting new financial resources. In today’s new reality technologies and innovative business models become crucial for increasing access to financial services and enhancing long-term economic growth. Digital technologies have been actively developing even before the pandemic of COVID-19. However, during the lockdown and the economic crisis caused by the pandemic the development of digital platforms has accelerated. Digital commerce and payments have become much more significant in the first half of 2020. That fact stimulated many SMEs to improve their digital capabilities. The “new” reality motivates the enterprises to use big data analysis and artificial intelligence in decision making process. The modern technologic capabilities are used in two directions. The first direction is the digitalization of organizational aspects of SMEs activities, for instance, transferring business meetings and conferences into online forms. The second one, which is even more important, suggests financial digitalization. This means using digital technologies to attract financial resources for business needs. Financial digitalization requires some specific measures, including improving the existing mechanisms of traditional loan financing through the use of new technologies and big data analysis; stimulating closer interaction between financial institutions and SMEs; drafting appropriate legislation to regulate the digital financial technologies sphere.

Putting Students “In Whitman’s Hand”

2018 ◽  
pp. 153-166
Author(s):  
Catherine Waitinas
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
General Education ◽  
Search Engine ◽  
New Technologies ◽  
Walt Whitman ◽  
Big Data Analysis ◽  
Manuscript Project ◽  
Graduate Seminars

Catherine Waitinas leads readers step-by-step through a digital manuscript project on Walt Whitman’s poetry that she created for a variety of courses from general education to graduate seminars. Using handwritten manuscripts digitized in the Walt Whitman Archive, Waitinas’s students meld old and new technologies, placing penmanship in conversation with big data analysis and The Walt Whitman’s Archive’s tools like the archive’s search engine. Waitinas describes how archival assignments like these are infinitely scalable; they can be used in relation to many other archives, and Waitinas gives suggestions for one-day to full-unit versions of the assignment.

Data Science and Big Data Analytics in Financial Services

Web Services ◽  
2019 ◽  
pp. 1301-1329
Author(s):  
Suren Behari ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Data Science ◽  
Big Data Analytics ◽  
Disruptive Innovation ◽  
Big Data Analysis ◽  
Future Trends ◽  
The Right

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd's model of Observe, Orient, Decide, and Act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.

scholarly journals Development of Microfinance Organizations in Ukraine in Terms of FinTech Financial Market Transformation

2020 ◽  
Vol 10 (513) ◽  
pp. 316-325
Author(s):  
O. V. Krylova ◽  
Keyword(s):  
Financial Services ◽  
Business Models ◽  
Institutional Environment ◽  
Digital Technologies ◽  
Financial Sector ◽  
Digital Products ◽  
Association Agreement ◽  
Digital Platforms ◽  
Operation Conditions ◽  
Logical Method

Modern operation conditions of the market of non-bank financial services in Ukraine require the search for unconventional forms of innovation development and the need to implement information systems and digital technologies. This corresponds to the provisions of the Association Agreement between Ukraine and the EU, the Comprehensive Program for the Development of the Financial Sector of Ukraine until 2020, the Financial Sector Development Strategies and FinTech in Ukraine by 2025. The research is aimed at identifying the major tendencies in the development of microfinance organizations in Ukraine as a key element of the market of non-bank financial services using digital technologies, including FinTech. To achieve the aim, research methods such as analysis and synthesis, statistical analysis, comparison, generalization, structural and logical method, expert survey and estimation are used. The dynamics of the main indicators of the development of the market of non-bank financial services in Ukraine are analyzed: the number of microfinance organizations, the volume of assets and financial services. The specific features of «split» as an important reform of the development of the national market of non-bank financial services have been identified. The peculiarities of FinTech development in different world countries are researched. The content of the key development tendencies of microfinance organizations in terms of FinTech-transformation of the financial sector in Ukraine are covered, including: marketplaces (providing loans to customers through intermediary digital platforms); balance crediting; AI-based solutions; banking-as-a-service as a model that allows non-financial companies to add banking services to their own applications and digital products. The formation and implementation of a qualitatively new model of regulation of the market of non-bank financial services will create conditions for the use of new financial instruments and business models that will meet the requirements of the dynamic institutional environment of microfinance organizations in Ukraine.

Data Science and Big Data Analytics in Financial Services

2016 ◽  
pp. 396-423 ◽  
Author(s):  
Suren Behari ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Services ◽  
Data Science ◽  
Big Data Analytics ◽  
Disruptive Innovation ◽  
Big Data Analysis ◽  
Future Trends ◽  
The Right

The chapter discusses how Financial Services organizations can take advantage of Big Data analysis for disruptive innovation through examination of a case study in the financial services industry. Popular tools for Big Data Analysis are discussed and the challenges of big data are explored as well as how these challenges can be met. The work of Hayes-Roth in Valued Information at the Right Time (VIRT) and how it applies to the case study is examined. Boyd's model of Observe, Orient, Decide, and Act (OODA) is explained in relation to disruptive innovation in financial services. Future trends in big data analysis in the financial services domain are explored.

scholarly journals A Survey of Students’ Attitudes to Big Data Analysis in Iranian Universities

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Nazari E ◽  
◽  
Norouzi S ◽  
Aldaghi T ◽  
Rasoulian M ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Work Experience ◽  
New Technologies ◽  
Master's Degree ◽  
Big Data Analysis ◽  
Cross Sectional ◽  
Academic Degree ◽  
Fields Of Study ◽  
Master’S Degree

Introduction: Today, with the emergence of new technologies and massive data, big data analysis has attracted the attention of researchers, industries and universities on a global scale. The present research aims to explore students’ attitude to big data analysis in different fields of study. Methodology: The present cross-sectional study was conducted with students at different universities and fields of study in Iran. A questionnaire was developed. This questionnaire explored students’ attitude toward big data analysis. To this aim, 359 university students participated in the research. The data were analyzed using descriptive and inferential statistics. Results: The age of the students ranged between 25 and 34 years. 55.2% were female and 54% were economically active. 40.9% had a work experience of less than a year. The academic degree of the majority of participants was master’s degree. 93.9% of the participants believed that big data analysis was essential for the country. 43.2% maintained that big data mostly belonged to the communication industry. 28.1% perceived MATLAB useful software for analysis. 40.9% were familiar with the benefits of analysis. Engage in economic activities, less than 1 year of experience and studies for a Master’s degree showed to be significantly correlated with familiarity with the benefits of big data (p=0.01). Such issues as high costs, managers’ unfamiliarity and lack of expertise and complexity were raised by the respondents.

Analysis of digital technologies in the agri-food sector based on big data analysis methods

2021 ◽  
pp. 334-344
Author(s):  
Yulia Sergeevna Otmakhova ◽  
Dmitry Alexeevich Devyatkin ◽  
Natalia Ivanovna Usenko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Digital Technologies ◽  
Big Data Analysis ◽  
Food Sector ◽  
Analysis Methods ◽  
Data Analysis Methods

Digitalization of Information Processes of Auditing

Auditor ◽  
2019 ◽  
Vol 5 (10) ◽  
pp. 10-23
Author(s):  
Вилена Якимова ◽  
Vilena Yakimova
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Digital Technologies ◽  
Big Data Analysis ◽  
Information Processes ◽  
Intellectual System ◽  
Audit Evidence ◽  
Types Of Information ◽  
Audit Activity ◽  
Information Collecting

Th e article reveals the possibilities of transition of audit organizations to digital technologies, identifi es areas of application of big data analysis and artifi cial intelligence technology for processing and analyzing audited information, collecting, evaluating audit evidence and solving other intellectual problems. Th e article identifi es information processes in relation to auditing, gives their classifi cation based on the types of tasks to be solved, identifi es types of information when using digital technologies, and proposes a scheme of the intellectual system of audit activity.

Technological issues

2020 ◽  
pp. 163-170
Author(s):  
Martijn Scherrenberg ◽  
Cindel Bonneux ◽  
Ines Frederix ◽  
Paul Dendale
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Cardiac Rehabilitation ◽  
Real Time ◽  
Data Protection ◽  
New Technologies ◽  
New Technology ◽  
Big Data Analysis ◽  
Real Time Monitoring ◽  
Ambulatory Patients

Technology has become increasingly important in cardiac rehabilitation (CR). New technologies, such as smartwatches, have changed the landscape of real-time monitoring of ambulatory patients. Implementation of new technology is always accompanied by issues of concern. Relevant examples are inter-operability and data protection. However, new technologies mainly offer new opportunities such as improvements in tele-rehabilitation (teleCR), persuasive design and big data analysis.

scholarly journals Staleness Data Retrieval from Multi-Tiered and Replicated Clusters

2019 ◽  
Vol 8 (12S) ◽  
pp. 604-610
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Social Networking ◽  
Financial Services ◽  
Life Sciences ◽  
Data Communication ◽  
Data Retrieval ◽  
Big Data Analysis ◽  
Real Challenge ◽  
Correct Data

The tsunami of data spans over the network is now coined with the term “Big Data”. The problems faced by Big Data during data acquisition are Privacy, Security, Complexity, Heterogeneity, Storage etc. Which data to keep and which data to discard is also a big question regarding Big Data since some data are not stored in structured format. In Social networking like Facebook, twitter, Whatsapp etc, the data communication takes place only in unstructured format and so later the conversion and interpretation of those data into presentation of results is a very clear bottleneck [1]. So Big Data analysis now pulls every aspect of our usage like retail marketing, mobile services, financial services, life sciences, production and sales. So the real challenge is to get a maximum out of the data available already and predicts the nature of data to be collected as per future need. Mostly read transactions outlay write transactions over the storage of data. So this paper proposes a new methodology “Read Polling Algorithm” to perform the read operation effectively and efficiently for retrieving correct data to the intended user..

scholarly journals Cooperative Governance Path of Financial Technology Supervision

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Difei Zhang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Data Analysis ◽  
Financial Institutions ◽  
Financial Services ◽  
Big Data Analysis ◽  
Technology Changes ◽  
Financial Technology ◽  
Cooperative Governance

Financial technology changes the logic of financial interpretation through the use of digital and digital centric technologies, commercialization, big data analysis, machine learning and artificial intelligence. From financial institutions that use technology to provide financial services to technology companies that directly provide financial services, fintech companies play an important role in realizing financial brokerage and financial democratization and improving the availability and efficiency of financial services. Based on this, this paper focuses on the plight and path of cooperative governance of financial technology supervision, for the reference of relevant personnel.

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