Nowadays, the amount of data generated is dramatically increasing and technology developments allow to store a wide variety data. Big Data is recognised as huge amount of data that organizations are now able to analyse in order to capture actionable insights for their business and to enable data-driven decision making. More and more technologies are being implemented to deal with the volume, variety and velocity of data, and all the technologies have peculiar characteristics that make them suitable in different contexts. For this reason, the interest in Benchmarking is also gaining momentum. Benchmarking allows organisations to test how their systems are performing and to understand how their configurations are working in order to select those technologies most adequate to their needs. Starting from the results of a survey regarding Big Data and Benchmarking, it is first investigated each single aspect and their relative importance; these dimensions are then analysed respect to specific industry sectors. There are indeed multiple applications domains for Big Data technologies and each of them may have peculiar characteristics. Thanks to this analysis, a graphical model, containing all the relevant dimensions for each sector, is presented. After this quantitative analysis, the analysis focuses on the Transport and the Healthcare industry sectors, which are further investigated in order to confirm or to reject the aspects emerged from the survey, but also to unveil new ones. For doing this, a desk analysis is conducted, consisting in the study of projects of flagship importance for the adoption of Big Data technologies in the two domains. The results of the research can be taken as a reference for those organizations that want to start projects or that want to benchmark their technologies in a domain, allowing them to know through a holistic approach which are the key characteristics, implemented technologies and the main problems and opportunities for the adoption of Big Data and Benchmarking technologies within a sector.
Al giorno d’oggi l’ammontare dei dati sta aumentando in modo considerevole e gli sviluppi tecnologici permettono di memorizzare un’ampia varietà di dati. Il termine Big Data si riferisce ad enormi moli di dati che le organizzazioni ora sono in grado di analizzare, in modo da ottenere informazioni utili per il proprio business e per permettere di prendere decisioni guidate dai dati. Sempre più tecnologie sono implementate per far fronte al volume, la varietà e la velocità dei dati e ogni tecnologia ha caratteristiche che la rendono più adatta ad un contesto specifico. Per questa ragione, l’interesse nel Benchmarking sta anche aumentando. Il Benchmarking permette alle organizzazioni di testare le performance dei propri sistemi e di capire come funzionano le diverse configurazioni, per poter selezionare le tecnologie più adatte alle proprie esigenze. Partendo dai risultati di un sondaggio relativo a Big Data e Benchmarking, viene analizzato ogni aspetto e la relativa importanza, dopodiché queste dimensioni sono analizzate rispetto ai settori industriali di appartenenza. Ci sono infatti molti settori in cui è possibile applicare tecnologie Big Data e ognuno di essi ha caratteristiche peculiari. Grazie a questa analisi, viene presentato un modello grafico contenente tutte le dimensioni rilevanti per ogni settore. Dopo questa analisi quantitativa, l’analisi si focalizza sui settori del Trasporto e della Sanità, che sono stati ulteriormente analizzati per potere confermare o rifiutare gli aspetti emersi dal sondaggio, ma anche per evidenziare di nuovi. Per fare questo è stata eseguita una ricerca che consiste nello studio di alcuni dei più rilevanti progetti per l’adozione delle tecnologie Big Data nei due settori. I risultati della ricerca possono essere considerati un punto di riferimento per quelle organizzazioni che vogliono iniziare un progetto o che desiderano eseguire attività di benchmarking in un settore, permettendo quindi di avere una più chiara visione d’insieme delle caratteristiche chiave, delle tecnologie implementate e dei principali problemi ed opportunità che contraddistinguono l’adozione di tecnologie Big Data e Benchmarking all’interno del settore.
A systematic analysis on the adoption of big data and benchmarking, with a focus on transport and healthcare sectors
RAY, STEFANO;RIVA, LEONARDO
2017/2018
Abstract
Nowadays, the amount of data generated is dramatically increasing and technology developments allow to store a wide variety data. Big Data is recognised as huge amount of data that organizations are now able to analyse in order to capture actionable insights for their business and to enable data-driven decision making. More and more technologies are being implemented to deal with the volume, variety and velocity of data, and all the technologies have peculiar characteristics that make them suitable in different contexts. For this reason, the interest in Benchmarking is also gaining momentum. Benchmarking allows organisations to test how their systems are performing and to understand how their configurations are working in order to select those technologies most adequate to their needs. Starting from the results of a survey regarding Big Data and Benchmarking, it is first investigated each single aspect and their relative importance; these dimensions are then analysed respect to specific industry sectors. There are indeed multiple applications domains for Big Data technologies and each of them may have peculiar characteristics. Thanks to this analysis, a graphical model, containing all the relevant dimensions for each sector, is presented. After this quantitative analysis, the analysis focuses on the Transport and the Healthcare industry sectors, which are further investigated in order to confirm or to reject the aspects emerged from the survey, but also to unveil new ones. For doing this, a desk analysis is conducted, consisting in the study of projects of flagship importance for the adoption of Big Data technologies in the two domains. The results of the research can be taken as a reference for those organizations that want to start projects or that want to benchmark their technologies in a domain, allowing them to know through a holistic approach which are the key characteristics, implemented technologies and the main problems and opportunities for the adoption of Big Data and Benchmarking technologies within a sector.| File | Dimensione | Formato | |
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2018_12_Ray_Riva.pdf
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Descrizione: Tesi di laurea magistrale di Ray Stefano e Riva Leonardo
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6.77 MB
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Adobe PDF
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https://hdl.handle.net/10589/144529