Big Data and Analytics

2017 ◽  
Vol 8 (3) ◽  
pp. 79-92 ◽  
Author(s):  
Dominik Krimpmann ◽  
Anna Stühmeier
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Quantitative Analysis ◽  
Corporate World ◽  
Business Results ◽  
Key Concepts ◽  
Data Scientist

Big Data and Analytics have become key concepts within the corporate world, both commercially and from an information technology (IT) perspective. This paper presents the results of a global quantitative analysis of 400 IT leaders from different industries, which examined their attitudes toward dedicated roles for an Information Architect and a Data Scientist. The results illustrate the importance of these roles at the intersection of business and technology. They also show that to build sustainable and quantifiable business results and define an organization's competitive positioning, both roles need to be dedicated, rather than shared across different people. The research also showed that those dedicated roles contribute actively to a sustainable competitive positioning mainly driven by visualization of complex matters.

Analysis of the 5Vs of Big Data in Virtual Travel Organizations

2019 ◽  
pp. 43-70
Author(s):  
Serkan Polat ◽  
Fevzi Esen ◽  
Emrah Bilgic
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Supply Chain ◽  
Information Technologies ◽  
Point Of View ◽  
Massive Data ◽  
Nature Tourism ◽  
Tourism Marketing ◽  
Key Concepts ◽  
Tourism Supply Chain

Virtual travel organizations, one of the most effective actors of tourism marketing, use information technology-based systems in parallel with the increasing use of information technologies. The competition in the tourism industries pushes virtual travel organizations to remain dynamic. Thus, customers can demand affordable and qualified tourism products. For this reason, it is inevitable for virtual travel organizations to use information technologies, in order to meet customers' demands efficiently and cost-effectively. Due to its nature, tourism products cannot be experienced before the sale. In order to analyze the expectations of the tourism customers, big-data-related technologies are valuable assets to the virtual travel organizations. From this point of view, managing massive data generated by tourism consumers is vital for the tourism supply chain. To the best of the authors' knowledge, there is no study relating big data and virtual travel organizations. In this chapter, the importance of five key concepts of big data have been discussed in terms of virtual travel organizations.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

scholarly journals Towards Implementation of Big Data Concepts in a Pharmaceutical Company

2020 ◽  
Vol 10 (1) ◽  
pp. 343-356
Author(s):  
Snezana Savoska ◽  
Blagoj Ristevski
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Pharmaceutical Company ◽  
Big Data Analytics ◽  
Structured Interviews ◽  
Holistic View ◽  
Analysis Methodology ◽  
Decision Making Processes ◽  
Research Demands

AbstractNowadays, big data is a widely utilized concept that has been spreading quickly in almost every domain. For pharmaceutical companies, using this concept is a challenging task because of the permanent pressure and business demands created through the legal requirements, research demands and standardization that have to be adopted. These legal and standards’ demands are associated with human healthcare safety and drug control that demands continuous and deep data analysis. Companies update their procedures to the particular laws, standards, market demands and regulations all the time by using contemporary information technology. This paper highlights some important aspects of the experience and change methodology used in one Macedonian pharmaceutical company, which has employed information technology solutions that successfully tackle legal and business pressures when dealing with a large amount of data. We used a holistic view and deliverables analysis methodology to gain top-down insights into the possibilities of big data analytics. Also, structured interviews with the company’s managers were used for information collection and proactive methodology with workshops was used in data integration toward the implementation of big data concepts. The paper emphasizes the information and knowledge used in this domain to improve awareness for the needs of big data analysis to achieve a competitive advantage. The main results are focused on systematizing the whole company’s data, information and knowledge and propose a solution that integrates big data to support managers’ decision-making processes.

scholarly journals Evaluation of Effective Dashboards: Key Concepts and Criteria

2017 ◽  
Vol 11 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Mahtab Karami ◽  
Mostafa Langarizadeh ◽  
Mansoor Fatehi
Keyword(s):  
Information Technology ◽  
User Interface ◽  
Knowledge Discovery ◽  
Delphi Study ◽  
Visual Design ◽  
Healthcare Organizations ◽  
Data Intensive ◽  
Key Concepts ◽  
Information Technology Consultants ◽  
Security Information

Objective: The aim of this study is to offer appropriate criteria to evaluate effective dashboards for healthcare organizations. Method: In a Delphi study, a team of information technology consultants were asked to determine a set of user interface requirements for evaluating, building or selecting the dashboard. In the first round, a list of main features or criteria to be used was determined based on the panel’s rating,. Results: In this study, it was revealed that a set of key criteria for evaluating the dashboards can be used for all types of dashboards. These criteria were classified into 7 main categories including user customization, knowledge discovery, security, information delivery, alerting, visual design, and integration and system connectivity. Conclusion: Choosing good criteria for selecting effective dashboards for healthcare organizations is very critical because these organizations follow a data-intensive and technology-driven environment. This study revealed the importance of key criteria which can guarantee development of an evaluation checklist.

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