scholarly journals The Impact of Big Data on SME´s Strategic Management: A Study on a Small British Enterprise Specialized in Business Intelligence

2018 ◽  
Vol 9 (4) ◽  
pp. 10
Author(s):  
Joao Florencio da Costa Junior ◽  
Julio Francisco Dantas de Rezende ◽  
Eric Lucas dos Santos Cabral ◽  
Davidson Rogerio de Medeiros Florentino ◽  
Adolfo Rebouças Soares
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
New Technologies ◽  
Senior Management ◽  
Practical Action ◽  
Big Data Technologies ◽  
Strategic Goals ◽  
Definition Of ◽  
The Impact

The present article seeks to describe how Big Data impacts on SMEs strategy, focusing both on planning and the use of strategy tools. It is a result of a participatory and practical action research in a small British Company ($2.5 Million annual turnover) specialized in business intelligence, conferences and tradeshows during 2014 to 2017. Throughout the research period, Big Data had a profound and multifaceted impact on the strategy and operations of the company, resulting in the changing of its products, adoption of new and more dynamic CRM systems, rethinking of the strategic tools utilized by the senior management and definition of new long term strategic goals. As a conclusion, it was noted that cultural predisposition to adopt Big Data technologies had a defining influence over the course of the strategic planning and operations; as the strategy for Big Data has to go beyond simply implementing technological changes – it actually has to exist before the adoption of new technologies is even considered – demanding commitment from the senior management team as well as the operational side of the business.

scholarly journals THE IMPACT OF BIG DATA TECHNOLOGIES ON COMPETITIVE ADVANTAGE OF COMPANIES

2017 ◽  
pp. 255 ◽  
Author(s):  
Jelena Lukić
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Real Time ◽  
New Technologies ◽  
Knowledge And Skills ◽  
Big Data Technologies ◽  
The Impact

The emergence of large quantity of data, from various sources, available in real-time, known as Big Data, have stimulated development of new technologies, techniques, tools, knowledge and skills which allows to work with that data. Big Data represent not only the factor from environment that confronts the companies with avalanche of data, but also very imporant resource which provide opportunities for companies to make value on the basis of collected data. Characteristics and possibilities which Big Data technologies offer have positioned them as a valuable factor for gaining and sustaining the competitive advantage in companies. The aim of this paper is to examine how Big Data technologies impact on competitive advantage of the companies that use them.

The Impact of Big Data Analytics and Challenges to Cyber Security

2018 ◽  
pp. 300-314 ◽  
Author(s):  
Anandakumar Haldorai ◽  
Arulmurugan Ramu
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Distribution Systems ◽  
New Technologies ◽  
Big Data Analytics ◽  
Big Data Technologies ◽  
Customer Analytics ◽  
External Sources ◽  
Business Optimization ◽  
The Impact

In order to scrutinize or evaluate an extremely high quantity of an ever-present and diversified nature of data, new technologies are developed. With the application of these technologies, called big data technologies, to the constantly developing various internal as well as external sources of data, concealed correlations between data can be identified, and promising strategies can be developed, which is necessary for economic growth and new innovations. This chapter deals with the analysis of the real-time uses of big data to both individual persons and the society too, while concentrating on seven important areas of key usage: big data for business optimization and customer analytics, big data and healthcare, big data and science, big data and finance, big data as enablers of openness and efficiency in government, big data and the emerging energy distribution systems, and big data security.

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

Evolution of e-participation in Greek local government

2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Local Government ◽  
Local Governments ◽  
Local Community ◽  
New Technologies ◽  
Mobile Apps ◽  
Digital Technologies ◽  
Decision Making Processes ◽  
The Impact

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.

MOBILE APPLICATION REMOVES SOCIETAL BARRIERS TO P4 MEDICINE

2017 ◽  
pp. 1-3
Author(s):  
J.-P. Michel
Keyword(s):  
Cognitive Abilities ◽  
Mobile Application ◽  
New Technologies ◽  
Global Evaluation ◽  
P4 Medicine ◽  
Fertile Ground ◽  
Definition Of ◽  
The Individual ◽  
The Impact

The overlap between one innovative paradigm (P4 medicine: predictive, personalized, participatory and preventive) and another (a new definition of “Healthy ageing”) is fertile ground for new technologies; a new mobile application (app) that could broaden our scientific knowledge of the ageing process and help us to better analyse the impact of possible interventions in slowing the ageing decline. A novel mobile application is here presented as a game including questions and tests will allow in 10 minutes the assessment of the following domains: robustness, flexibility (lower muscle strength), balance, mental and memory complaints, semantic memory and visual retention. This game is completed by specific measurements, which could allow establishing precise information on functional and cognitive abilities. A global evaluation precedes advice and different types of exercises. The repetition of the tests and measures will allow a long follow up of the individual performances which could be shared (on specific request) with family members and general practitioners.

scholarly journals Modeling Analytical Streams for Social Business Intelligence

2018 ◽  
Author(s):  
Indira Lanza-Cruz ◽  
Rafael Berlanga ◽  
María José Aramburu
Keyword(s):  
Social Network ◽  
Business Intelligence ◽  
Semantic Representation ◽  
Social Indicators ◽  
Open Data ◽  
Multidimensional Analysis ◽  
Social Business ◽  
Strategic Goals ◽  
Real Scenario ◽  
Definition Of

Social Business Intelligence (SBI) enables companies to capture strategic information from public social networks. Contrary to traditional Business Intelligence (BI), SBI has to face the high dynamicity of both the social network contents and the company analytical requests, as well as the enormous amount of noisy data. Effective exploitation of these continuous sources of data requires efficient processing of the streamed data to be semantically shaped into insightful facts. In this paper, we propose a multidimensional formalism to represent and evaluate social indicators directly from fact streams derived in turn from social network data. This formalism relies on two main aspects: the semantic representation of facts via Linked Open Data and the support of OLAP-like multidimensional analysis models. Contrary to traditional BI formalisms, we start the process by modeling the required social indicators according to the strategic goals of the company. From these specifications, all the required fact streams are modeled and deployed to trace the indicators. The main advantages of this approach are the easy definition of on-demand social indicators, and the treatment of changing dimensions and metrics through streamed facts. We demonstrate its usefulness by introducing a real scenario user case in the automotive sector.

scholarly journals Studies of the Logistics Services Market: Information and Analytical Support and a System of Statistical Indicators

2020 ◽  
pp. 5-11
Author(s):  
N. HRYNCHAK
Keyword(s):  
Medium Term ◽  
Secondary Sources ◽  
The Core ◽  
Logistics Services ◽  
Rational Management ◽  
Definition Of ◽  
Definition Of Information ◽  
The Impact ◽  
Statistical Indicators

Information and analytical database for the market support is required to prevent communications of contradictory information to higher levels of management, with adverse effects for the process of taking rational management decisions. The article’s objective is to substantiate the information and analytical support for studies of the logistics services market, with constructing a system of statistical indicators for this market assessment, to be laid as the solid basis for elaborating medium-term and long-term strategies and policies of the logistics services market in Ukraine.  A definition of information and analytical support for studies of the logistics services market is given; a review of secondary sources of data for this market studies is made. A conceptual model for information and analytical studies of the logistics services market is proposed. The key statistical indicators for studies of this market are identified, with substantiating the feasibility of their use in computing multivariate indicators for the assessment of performance and capacities of the logistics services market in Ukraine. The core criteria to be met by the abovementioned system of statistical indicators are highlighted. A system of statistical indicators for the assessment of the logistics services market is proposed, containing four modules. It allows for diagnosis of this market performance and tendencies, with accounting for the impact of other related markets and activities, and for forecasting. This system, constructed with consideration to the global practice, is designed for comprehensive studies of the logistics services market.

scholarly journals NEUROPHYSIOLOGICAL AND NEUROPSYCHOLOGICAL FEATURES AT PATIENTS FROM OCCUPATIONAL NOISE-INDUCED HEARING LOSS

2019 ◽  
Vol 98 (10) ◽  
pp. 1068-1073
Author(s):  
Oksana I. Shevchenko ◽  
D. V. Rusanova ◽  
O. L. Lakhman
Keyword(s):  
Latent Period ◽  
Cognitive Activity ◽  
Functional Condition ◽  
Long Term Memory ◽  
Term Memory ◽  
Diagnostic Signs ◽  
Constant Potential ◽  
Definition Of ◽  
The Impact

Introduction. Issues of studying the central origins and development of оccupational pathology in the faces of flight personnel define a need for the application of neurophysiological and neuropsychological methods of research. Material and methods. The levels of constant potential (LCP), characteristics the somatosensory caused potentials (SSVP), neuropsychological features in 95 patients with оccupational neurosensory deafness (ONSD) and 35 cases in a group of comparison are studied. Methods of the statistical analysis with a definition of W-of criterion of Shapiro-Uilka, Mann-Whitney›s U-criterion, coefficient of correlation of Spirmen, the discriminant analysis are applied. Results. in ONSD at patients the quantity of cases with the increased values of average LCP were established to prevail significantly in comparison with those in patients of a group of comparison (39% and 13% respectively, р = 0.03), strengthening of neuropower exchange in right and left frontal, central, left central, left parietal, right temporal assignments, increase in duration of the latent period of N18, N30 components are registered (р < 0.05). The condition of the cognitive sphere was characterized by the easily expressed violations of functions of analytical and synthetic thinking, оral-aural memory, visual, long-term memory, reciprocal coordination, impressive speech. Correlation connection between the index of N13-N20 and indices characterizing a condition of long-term memory, reciprocal coordination, the expressional speech is established (rs=0.45; 0.28; 0.28 at р =0.008; 0.04; 0.03 respectively), an index the between hemispheres of the relations Fd-Fs and latency of P25 and N30 (rs = 0.53 and 0.29 at р =0.009; 0.02 respectively). Diagnostic signs of brain deficiency at patients with ONSD were indices of visual gnosis, reciprocal coordination, LCP in right central, central parietal assignments of a brain, duration of the latent period of N30, N18-N20 (F=9.14; 5.43; 6.08; 4.41 4.77; 4.34 respectively). Conclusions. Violations of power metabolism in the frontal and central and parietal and temporal assignments of a brain, a functional condition of the central carrying-out structures, disorganization of cognitive activity were established to be a consequence of the impact of aviation noise and the reason of brain deficiency.

THE RELATIONSHIP OF SOCIOTECHNICAL AND TECHNOLOGICAL ASPECTS OF THE INTRODUCTION AND APPLICATION OF BUSINESS INTELLIGENCE SYSTEMS

2021 ◽  
Vol 5 (12) ◽  
pp. 30-35
Author(s):  
Edward N. Ozhiganov ◽  
◽  
Alexander A. Chursin ◽  
Alexey D. Linkov ◽  
◽  
...  
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
New Technologies ◽  
Business Analytics ◽  
Scientific Publications ◽  
Business Decisions ◽  
Business Decision ◽  
Business Intelligence Systems ◽  
Demand Fluctuations ◽  
New Research

This article describes a relation between sociotechnical and technological factors involved in launching and implementing Business Intelligence systems. Advanced BI systems include business analytics, data mining, data visualization, data tools and infrastructure, and advanced IT solutions to support business decisions based on big data. Various industries and businesses handle large amounts of data to adapt to changing markets and demand fluctuations, push new technologies, and repair ineffective strategies, etc. With an upsurge in data sizes, more and more new research papers are published today to describe BI implemen-tation, use and results. However, today most studies and scientific publications focus on Business Intelligence technological challenges, while sociotechnical aspects – that is processes involved in business decision mak-ing based on big data – are studied in much rarer cases.

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