Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda

2015 ◽  
pp. 22-33 ◽  
Author(s):  
Irina Neaga ◽  
Shaofeng Liu ◽  
Lai Xu ◽  
Huilan Chen ◽  
Yuqiuge Hao
Keyword(s):  
Big Data ◽  
Research And Development ◽  
Development Agenda ◽  
Logistics Services

Mapping the United Nations Fundamental Principles of Official Statistics against new and big data sources

2021 ◽  
Vol 37 (1) ◽  
pp. 161-169
Author(s):  
Dominik Rozkrut ◽  
Olga Świerkot-Strużewska ◽  
Gemma Van Halderen
Keyword(s):  
Big Data ◽  
Public Information ◽  
Fundamental Principle ◽  
Data Sources ◽  
Official Statistics ◽  
Development Agenda ◽  
Data Gaps ◽  
Data Source ◽  
Exciting Time ◽  
Statistical Systems

Never has there been a more exciting time to be an official statistician. The data revolution is responding to the demands of the CoVID-19 pandemic and a complex sustainable development agenda to improve how data is produced and used, to close data gaps to prevent discrimination, to build capacity and data literacy, to modernize data collection systems and to liberate data to promote transparency and accountability. But can all data be liberated in the production and communication of official statistics? This paper explores the UN Fundamental Principles of Official Statistics in the context of eight new and big data sources. The paper concludes each data source can be used for the production of official statistics in adherence with the Fundamental Principles and argues these data sources should be used if National Statistical Systems are to adhere to the first Fundamental Principle of compiling and making available official statistics that honor citizen’s entitlement to public information.

Process Analytics Model Approach in Healthcare

2020 ◽  
pp. 186-196
Author(s):  
S. Santhosh Kumar ◽  
A. Sumathi
Keyword(s):  
Big Data ◽  
Research And Development ◽  
Process Model ◽  
Data Repository ◽  
Healthcare Analytics ◽  
Process Analytics ◽  
Healthcare Data ◽  
Innovative Solutions ◽  
Treatment Mechanisms ◽  
The Relationship

Process analytics involves the relationship between the doctor, diagnostic centers and patient. The primary advantages of using process analytics in healthcare are expert guidance, global medical assistance, and possible alternate treatment mechanisms. The secondary advantages are the analysis of the same type of disease complications and the creation of a disease-based healthcare data repository. This chapter focuses on the process model-based approach for healthcare analytics. The two emerging techniques Big data and IoT are needed to be incorporated with the process model for storing and analyzing the healthcare data. The first category assists administrators with identifying areas to streamline operations and concretely increase savings. Research and development are crucial aspects of healthcare, providing new innovative solutions and treatments that can be properly tracked, measured, and analyzed.

The Nature of Intelligent Analytics

2021 ◽  
pp. 1-21
Author(s):  
Zhaohao Sun ◽  
Andrew Stranieri
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Research And Development ◽  
Business Intelligence ◽  
Data Analytics ◽  
Data Science ◽  
Big Data Analytics ◽  
Business Analytics ◽  
Novel Approach ◽  
Advanced Analytics

Intelligent analytics is an emerging paradigm in the age of big data, analytics, and artificial intelligence (AI). This chapter explores the nature of intelligent analytics. More specifically, this chapter identifies the foundations, cores, and applications of intelligent big data analytics based on the investigation into the state-of-the-art scholars' publications and market analysis of advanced analytics. Then it presents a workflow-based approach to big data analytics and technological foundations for intelligent big data analytics through examining intelligent big data analytics as an integration of AI and big data analytics. The chapter also presents a novel approach to extend intelligent big data analytics to intelligent analytics. The proposed approach in this chapter might facilitate research and development of intelligent analytics, big data analytics, business analytics, business intelligence, AI, and data science.

Visceral leishmaniasis: current status of control, diagnosis, and treatment, and a proposed research and development agenda

2002 ◽  
Vol 2 (8) ◽  
pp. 494-501 ◽  
Author(s):  
Philippe J Guerin ◽  
Piero Olliaro ◽  
Shyam Sundar ◽  
Marleen Boelaert ◽  
Simon L Croft ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Research And Development ◽  
Diagnosis And Treatment ◽  
Current Status ◽  
Development Agenda

Examining the adoption of big data and analytics curriculum

2017 ◽  
Vol 23 (3) ◽  
pp. 506-517 ◽  
Author(s):  
Alexander J. McLeod ◽  
Michael Bliemel ◽  
Nancy Jones
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Academic Research ◽  
Software Support ◽  
Content Type ◽  
Software Vendor ◽  
Development Agenda ◽  
Practical Information ◽  
Information Materials ◽  
Practical Implications

Purpose The purpose of this paper is to explore the demand for big data and analytics curriculum, provide an overview of the curriculum available from the SAP University Alliances program, examine the evolving usage of such curriculum, and suggest an academic research agenda for this topic. Design/methodology/approach In this work, the authors reviewed recent academic utilization of big data and analytics curriculum in a large faculty-driven university program by examining school hosting request logs over a four-year period. The authors analyze curricula usage to determine how changes in big data and analytics are being introduced to academia. Findings Results indicate that there is a substantial shift toward curriculum focusing on big data and analytics. Research limitations/implications Because this research only considered data from one proprietary software vendor, the scope of this project is limited and may not generalize to other university software support programs. Practical implications Faculty interested in creating or furthering their business process programs to include big data and analytics will find practical information, materials, suggestions, as well as a research and curriculum development agenda. Originality/value Faculty interested in creating or furthering their programs to include big data and analytics will find practical information, materials, suggestions, and a research and curricula agenda.

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