Advanced Data Analysis in Multi-site Enterprises. Basic Problems and Challenges Related to the IT Infrastructure

2019 ◽  
pp. 383-393 ◽  
Author(s):  
Helena Dudycz ◽  
Paweł Stefaniak ◽  
Paweł Pyda
Keyword(s):  
Data Analysis ◽  
It Infrastructure

Analysis of the Possibility to Implement the Transics System and GBOX Assist Systems in a Selected Company

2017 ◽  
pp. 303-315
Author(s):  
Remigiusz Kozlowski ◽  
Petre Iltchev ◽  
Anna Palczewska ◽  
Klaudia Pilichowska ◽  
Michał Marczak
Keyword(s):  
Data Analysis ◽  
Return On Investment ◽  
Business Processes ◽  
Management Systems ◽  
Fleet Management ◽  
Company Performance ◽  
It Infrastructure ◽  
Transport Management

The aim of this chapter is to present the implementation of a fleet management systems (FMS) in selected transport companies. Transport management systems (TMS) / FMS evolve as a result of developing novel functionalities. The greatest challenge is TMS integration within the existing IT infrastructure of the company. Calculating return on investment (ROI) based on data analysis is important to select the optimum FMS. During the implementation of an FMS, of importance is to adapt the system to the business processes and train the employees in software usage. The architecture of an FMS affects the process of its implementation. Its implementation has many benefits and greatly improves company performance, including profitability.

scholarly journals Expert knowledge and data analysis for detecting advanced persistent threats

2017 ◽  
Vol 15 (1) ◽  
pp. 1108-1122 ◽  
Author(s):  
Juan Ramón Moya ◽  
Noemí DeCastro-García ◽  
Ramón-Ángel Fernández-Díaz ◽  
Jorge Lorenzana Tamargo
Keyword(s):  
Data Analysis ◽  
Public Administration ◽  
Expert Knowledge ◽  
Synthetic Data ◽  
Critical Infrastructures ◽  
Data Traffic ◽  
It Infrastructure ◽  
Effective Learning ◽  
Advanced Persistent Threats ◽  
Log Files

Abstract Critical Infrastructures in public administration would be compromised by Advanced Persistent Threats (APT) which today constitute one of the most sophisticated ways of stealing information. This paper presents an effective, learning based tool that uses inductive techniques to analyze the information provided by firewall log files in an IT infrastructure, and detect suspicious activity in order to mark it as a potential APT. The experiments have been accomplished mixing real and synthetic data traffic to represent different proportions of normal and anomalous activity.

Database Security and Statistical Database Security

2009 ◽  
pp. 2100-2108
Author(s):  
Edgar R. Weippl
Keyword(s):  
Data Analysis ◽  
Database Security ◽  
Data Warehouses ◽  
It Infrastructure ◽  
Aggregated Data ◽  
Security Models ◽  
Business Analysis ◽  
Transactional Databases ◽  
A Cell ◽  
Transactional Data

In this article we will present an introduction to issues relevant to database security and statistical database security. We will briefly cover various security models, elaborate on how data analysis in data warehouses (DWH) might compromise an individual’s privacy, and explain which safeguards can be used to prevent attacks. In most companies, databases are an essential part of IT infrastructure since they store critical business data. In the last two decades, databases have been used to process increasing amounts of transactional data, such as, a complete account of a person’s purchases from a retailer or connection data from calls made on a cell phone. As soon as this data became available from transactional databases and online transactional processing (OLTP) became well established, the next logical step was to use the knowledge contained in the vast amounts of data. Today, data warehouses (DWH) store aggregated data in an optimal way to serve queries related to business analysis.

scholarly journals Problems and Challenges Related to Advanced Data Analysis in Multi-Site Enterprises

2021 ◽  
pp. 1-17
Author(s):  
Helena Dudycz ◽  
Paweł Stefaniak ◽  
Paweł Pyda
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
Manufacturing Companies ◽  
It Infrastructure ◽  
Basic Model ◽  
It Architecture ◽  
Master Data Management ◽  
Use Of The Internet ◽  
The Right ◽  
Internet Of Things Technology

The new generation of industry, i.e. Industry 4.0, pertains to the processing of immense amounts of data, resulting, among other things, from the large-scale use of microcontrollers to control machines, an increase in the scale of automation, the use of the Internet of Things technology — e.g. in sensors installed at different stages of the production process, the implementation of the digital twin concept, and many other technologies designed to collect data (e.g. GPS or RFID). These data are collected in the enterprise’s variety of resources and databases. These data can be a valuable source of information and knowledge if the right approach to advanced data analysis is adopted, which depends, among other things, on the enterprise’s existing IT infrastructure. This paper sets out to present conclusions formulated on the basis of research consisting in the analysis of multinational manufacturing companies’ existing IT infrastructures. Three basic model solutions of IT architecture occurring in multi-site enterprises were identified, which made it possible to identify the main problems stemming from the IT architecture in place and concerning the analysis of data for the needs of company management. Additionally, this paper discusses the challenges faced by multi-site manufacturing companies. One such activity is the modification and expansion of the company’s IT infrastructure, including the implementation of Big Data and Master Data Management (MDM) solutions. The contribution provided by this paper consists in the analysis of the IT infrastructure in large, multi-site enterprises, which enabled the identification of problems and challenges related to advanced data analysis in this type of companies.

scholarly journals Big data analysis of IoT-based supply chain management considering FMCG industries

2021 ◽  
Vol 15 (1) ◽  
pp. 78-96
Author(s):  
Hamed Nozari ◽  
Mohammad Fallah ◽  
Hamed Kazemipoor ◽  
Seyed Esmaeil Najafi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analysis ◽  
Big Data Analytics ◽  
Analytical Framework ◽  
Data Generation ◽  
It Infrastructure ◽  
Industrial Companies ◽  
Implementation Methodology ◽  
Special Case

Supply chain is one of the main pillars of manufacturing and industrial companies whose smartness can help business to be intelligent. To this end, the use of innovative technologies to make it smart is always a concern. The smart supply chain utilizes innovative tools to enhance quality, improve performance and facilitate the decision-making process. Internet of things (IoT) is one of the key components of the IT infrastructure for the development of smart supply chains that have high potential for creating sustainability in systems. Furthermore, IoT is one of the most important sources of big data generation. Big data and strategies for data analysis as a deep and powerful solution for optimizing decisions and increasing productivity are growing rapidly. For this reason, this paper attempts to examine informative supply chain development strategies by investigating the supply chain in FMCG industries as a special case and to provide a complete analytical framework for building a sustainable smart supply chain using IoT-based big data analytics. The proposed framework is based on the IoT implementation methodology, with emphasis on the use of input big data and expert reviews. Given the nature of the FMCG industry, this can lead to better production decisions.

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

Perceptions of a Collaborative Professional Learning Program: Seeing the “Bigger Picture”

2020 ◽  
Vol 5 (1) ◽  
pp. 290-303
Author(s):  
P. Charlie Buckley ◽  
Kimberly A. Murza ◽  
Tami Cassel
Keyword(s):  
Data Analysis ◽  
Professional Learning ◽  
Social Communication ◽  
Special Educators ◽  
Service Providers ◽  
Integrative Approach ◽  
Theory Approach ◽  
Learning Program ◽  
Speech Language Pathologists ◽  
Related Service

Purpose The purpose of this study was to explore the perceptions of special education practitioners (i.e., speech-language pathologists, special educators, para-educators, and other related service providers) on their role as communication partners after participation in the Social Communication and Engagement Triad (Buckley et al., 2015 ) yearlong professional learning program. Method A qualitative approach using interviews and purposeful sampling was used. A total of 22 participants who completed participation in either Year 1 or Year 2 of the program were interviewed. Participants were speech-language pathologists, special educators, para-educators, and other related service providers. Using a grounded theory approach (Glaser & Strauss, 1967 ) to data analysis, open, axial, and selective coding procedures were followed. Results Three themes emerged from the data analysis and included engagement as the goal, role as a communication partner, and importance of collaboration. Conclusions Findings supported the notion that educators see the value of an integrative approach to service delivery, supporting students' social communication and engagement across the school day but also recognizing the challenges they face in making this a reality.

Communicative Performance of Adolescents with Severe Speech Impairment

1989 ◽  
Vol 54 (3) ◽  
pp. 403-421 ◽  
Author(s):  
Beth M. Dalton ◽  
Jan L. Bedrosian
Keyword(s):  
Data Analysis ◽  
Peer Interactions ◽  
Consistent Pattern ◽  
Clinical Implications ◽  
Speech Impairment ◽  
Communication Mode ◽  
Mode Function ◽  
Communicative Performance ◽  
Therapy Room ◽  
Communication Board

The communicative performance of 4 preoperational-level adolescents, using limited speech, gestures, and communication board techniques, was examined in a two-part investigation. In Part 1, each subject participated in an academic interaction with a teacher in a therapy room. Data were transcribed and coded for communication mode, function, and role. Two subjects were found to predominantly use the speech mode, while the remaining 2 predominantly used board and one other mode. The majority of productions consisted of responses to requests, and the initiator role was infrequently occupied. These findings were similar to those reported in previous investigations conducted in classroom settings. In Part 2, another examination of the communicative performance of these subjects was conducted in spontaneous interactions involving speaking and nonspeaking peers in a therapy room. Using the same data analysis procedures, gesture and speech modes predominated for 3 of the subjects in the nonspeaking peer interactions. The remaining subject exhibited minimal interaction. No consistent pattern of mode usage was exhibited across the speaking peer interactions. In the nonspeaking peer interactions, requests predominated. In contrast, a variety of communication functions was exhibited in the speaking peer interactions. Both the initiator and the maintainer roles were occupied in the majority of interactions. Pertinent variables and clinical implications are discussed.

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