scholarly journals Digital Service Innovation Enabled by Big Data Analytics - A Review and the Way Forward

2017 ◽  
Author(s):  
Aya Rizk ◽  
Birgitta Bergvall-Kåreborn ◽  
Ahmed Elragal
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Service Innovation ◽  
Digital Service ◽  
The Way

Big Data Analytics in the Healthcare Industry

2020 ◽  
pp. 160-178
Author(s):  
Arulkumar Varatharajan ◽  
Selvan C. ◽  
Vimalkumar Varatharajan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Human Services ◽  
Big Data Analytics ◽  
Healthcare Industry ◽  
Multimodal Data ◽  
Design Structure ◽  
Costs Of Treatment ◽  
The Way

Big Data has changed the way we manage, analyze and impact the data information in any industry. A champion among the most promising zones where it will, in general, be associated with takeoff progress is therapeutic medicinal administrations. Administration examinations can diminish costs of treatment, foresee flare-ups of pestilences, keep up a key separation from preventable diseases and improve individual fulfillment overall. The chapter depicts the beginning field of a huge information investigation in human services, talks about the advantages, diagrams a design structure and approach, portrays models revealed in the writing, quickly examines the difficulties, and offers ends. A continuous examination which targets the utilization of tremendous volumes of remedial data information while combining multimodal data information from various sources is discussed. Potential locales of research inside this field which can give noteworthy impact on medicinal administrations movement are in like manner dissected.

scholarly journals Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation

2020 ◽  
Vol 9 (3) ◽  
pp. 29 ◽  
Author(s):  
Nopsaran Thuethongchai ◽  
Tatri Taiphapoon ◽  
Achara Chandrachai ◽  
Sipat Triukose
Keyword(s):  
Big Data ◽  
Mixed Methods Research ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Service Innovation ◽  
Development Theory ◽  
Service Development ◽  
Structured Interviews ◽  
Opportunity Identification ◽  
Service Channel

Big-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics for service innovation. The focus will be on leveraging features of data analytics to capture genuine customer’s requirements from the communication data through the digital service channel. This study used mixed methods research of documentary research, with supplementary semi-structured interviews. The interviews were conducted with 11 executive managements who have more than ten years of experience in data analytics or service development. The result of the research found that organizations in the services industry are using big data analytics to build capabilities to gain competitive advantages as well as the ability to rapidly and accurately respond to the market’s demands. The process of adopting big-data analytics for service innovation described in this article consists of seven essential procedural steps that impact the success of the development of service innovation, and also considered with the objective of increasing effectiveness in opportunity identification and reduce complexity in the fuzzy frond-end service innovation development theory.

WITSML v2.0: Paving the Way for Big Data Analytics Through Improved Data Assurance and Data Organization

2016 ◽  
Author(s):  
Yash Gidh ◽  
Nigel Deeks ◽  
Lars Olav Grovik ◽  
David Johnson ◽  
Sethupathi Arumugam ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Data Organization ◽  
The Way

A Framework for Effective Data Analytics for Tourism Sector

2022 ◽  
pp. 483-496
Author(s):  
Sapna Sinha ◽  
Vishal Bhatnagar ◽  
Abhay Bansal
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Technological Revolution ◽  
Competitive Edge ◽  
Tourism Sector ◽  
Tools And Techniques ◽  
The Way

From BRICS nations, India is the second largest tourism market after China in Asia. Technological revolution has added new dimensions to the way technologies being used in all the sectors. Also, the use of electronic gadgets leaves trail of data, which is very huge in size, this data (Big Data) is exploited by every sector for providing better services and gaining competitive edge. This trend grabbed the attention of researchers and industry for development of more optimized tools and techniques. There are many general frameworks proposed by industry and researchers for implementation of Big Data in industry but, there is no framework proposed for tourism sector. In this paper, the authors propose unified IT infrastructure framework named as tAdvisor for effective data analytics using Big Data Analytics approach for increasing productivity in tourism sector. Various challenges and issues related with the implementation of Big Data Analytics is also discussed in the paper.

scholarly journals A review on Data Mining & Big Data Analytics

2018 ◽  
Vol 7 (4.24) ◽  
pp. 92
Author(s):  
Yashasree Tummala ◽  
Dr. Hemantha Kumar Kalluri
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Way

The time of enormous information is presently progressing. Be that as it may, the customary information investigation will most likely be unable to wrench such huge amounts of information. The inquiry that emerges now is, the way to build up an elite stage to effectively examine huge information and how to plan a suitable mining calculation to locate the helpful things from enormous information. To profoundly talk about this issue, this paper starts with a concise prologue to information investigation, trailed by the exchanges of enormous information examination.

A Framework for Effective Data Analytics for Tourism Sector

2017 ◽  
Vol 9 (4) ◽  
pp. 92-104 ◽  
Author(s):  
Sapna Sinha ◽  
Vishal Bhatnagar ◽  
Abhay Bansal
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Technological Revolution ◽  
Competitive Edge ◽  
Tourism Sector ◽  
Tools And Techniques ◽  
The Way

From BRICS nations, India is the second largest tourism market after China in Asia. Technological revolution has added new dimensions to the way technologies being used in all the sectors. Also, the use of electronic gadgets leaves trail of data, which is very huge in size, this data (Big Data) is exploited by every sector for providing better services and gaining competitive edge. This trend grabbed the attention of researchers and industry for development of more optimized tools and techniques. There are many general frameworks proposed by industry and researchers for implementation of Big Data in industry but, there is no framework proposed for tourism sector. In this paper, the authors propose unified IT infrastructure framework named as tAdvisor for effective data analytics using Big Data Analytics approach for increasing productivity in tourism sector. Various challenges and issues related with the implementation of Big Data Analytics is also discussed in the paper.

Big Data Analytics

2019 ◽  
pp. 24-52
Author(s):  
Iman Raeesi Vanani ◽  
Faezeh Mohammadipour
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Distinct Advantage ◽  
Mobile Data ◽  
Main Challenge ◽  
Change Leaders ◽  
The Way

The idea that we can get value from data has been discussed, but the main challenge is to use data effectively in order to facilitate smarter and better decision making and surpass our competitors. The change leaders in organization are now dealing with big data from both within and outside the enterprise, including structured and unstructured data, machine data, online and mobile data to supplement their organizational data pool and provide and facilitate the way through which the businesses can compete and operate successfully. Companies that invest in big data can have a distinct advantage over their competitors. Therefore, in this chapter, the concepts of big data analytics along with the relevant description of different categorization, capabilities, challenges are firstly explained, and then big data analytics techniques and methods are introduced and discussed to make the readers familiar with the way big data is applied in the enterprises.

scholarly journals How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service

2018 ◽  
Vol 35 (2) ◽  
pp. 424-460 ◽  
Author(s):  
Christiane Lehrer ◽  
Alexander Wieneke ◽  
Jan vom Brocke ◽  
Reinhard Jung ◽  
Stefan Seidel
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Service Innovation
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