La Città dei Balocchi, con le sue luci, è un evento chiave nel panorama dell'offerta turistica Natalizia Lombarda. La presentazione riporta i risultati di un'analisi di chi è venuto e quando.
Realizzato da Fluxedo srl e Olivetti spa per il Consorzio Como Turistica, con la collaborazione di Politecnico di Milano, TIM e Comune di Como, nel contesto del progetto CrowdInsights finanziato da EIT Digital.
Data streams take many forms and their velocity is hard to tame. They can be myriads of tiny flows that you can collect to tame with Time-series Databases; continuous massive flows than you cannot stop to tame with Data Stream Management Systems; Continuous numerous flows that can turn into a torrent to tame with Event-based Systems; and myriads of continuous flows of any size and speed that form an immense delta to tame with Event-Driven Architectures. Enjoy this introductory talk!
This is the presentation that I did for PoliMI Data Scientists on Stream Reasoning, an approach to blend Artificial Intelligence and Stream Processing.
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
HiPPO and Flipism are no longer the only way to take decisions. In the Big Data / Data Science era one can dream of data-driven organization. If the data were "oil", Big Data technologies extract, transport, and store it, while Data Science methods provide the a way to "refine the crude oil". This presentation elaborates on the Ws (What, Why, When, Who and How) of Big Data and Data Science.
From the semantic interoperability problem to Google's knowledge graph passing from the Semantic Web, Linked Data, Yahoo! search monkey, Facebook Open Graph, and schema.org.
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. I’ve been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Data streams take many forms and their velocity is hard to tame. They can be myriads of tiny flows that you can collect to tame with Time-series Databases; continuous massive flows than you cannot stop to tame with Data Stream Management Systems; Continuous numerous flows that can turn into a torrent to tame with Event-based Systems; and myriads of continuous flows of any size and speed that form an immense delta to tame with Event-Driven Architectures. Enjoy this introductory talk!
This is the presentation that I did for PoliMI Data Scientists on Stream Reasoning, an approach to blend Artificial Intelligence and Stream Processing.
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
HiPPO and Flipism are no longer the only way to take decisions. In the Big Data / Data Science era one can dream of data-driven organization. If the data were "oil", Big Data technologies extract, transport, and store it, while Data Science methods provide the a way to "refine the crude oil". This presentation elaborates on the Ws (What, Why, When, Who and How) of Big Data and Data Science.
From the semantic interoperability problem to Google's knowledge graph passing from the Semantic Web, Linked Data, Yahoo! search monkey, Facebook Open Graph, and schema.org.
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. I’ve been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Every body talks about Big Data, but why? Do it create value? Do it enable some paradigmatic shifts in the way we work with data? This talk I did at ComoNext research and technological park cast some light on those questions.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. This key note, which I gave at the 12th Semantic Web Summer School, presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.
The forth lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
More and more applications require real-time processing of heterogeneous data streams. In terms of the “Vs” of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
C’è un modo di raccontare un evento che passa attraverso la lettura dei flussi social che genera. Quella traccia digitale che ogni partecipante lascia sui social network quando condivide la sua partecipazione o la sua opinione. E’ possibile fondere e interpretare in tempo reale tali tracce utilizzando tecnologie d’analisi d’avanguardia e modelli avanzati di visualizzazione dei dati. Nel 2014 in collaborazione con StudioLabo e Telecom Italia, il Politecnico di Milano ha realizzato CitySensing, per mostrare l’impronta lasciata dal FuoriSalone sui social network. Focalizzando, in seguito, CitySensing sulle esigenze del gestore dell’evento, il Politecnico di Milano ha mostrato la potenzialità dell’approccio per il Festival della Comunicazione di Camogli e per il Festival delle Letterature di Pescara. La soluzione è ora offerta da Fluxedo.
C'è un modo di racocontare la città che passa attraverso la lettura dei flussi di dati che essa genera. Quelle tracce digitali che ciascuno di noi lascia ogni volta che compie un piccolo gesto quotidiano, come fare una telefonata o inviare un tweet.
In City Data Fusion, il Politecnico di Milano e Telecom Italia raccontano le città fondendo, interpretando e visualizzando i Big Data, ovvero quell'enorme e continuo flusso di tracce digitali che i loro abitanti e visitotori lasciano utilizzando il proprio smartphone o i servizi della città.
Questa presentazione vi introduce all'osservazione alcune città italiane in una prospettiva nuova.
Bi-later integration are a short term approach to business integration, but only standards provide a long term solution. Unfortunately, agreeing on standards is hard and takes time, thus translation between standards is unavoidable. Embracing change is the only way to benefit from short term translation while developing over time comprehensive standards. Semantic technologies are design with flexibility in mind and, therefore, they can help in developing more comprehensive standards and easier to maintain translations.
Big data: why, what, paradigm shifts enabled , tools and market landscapeEmanuele Della Valle
This presentation brings together many contents you may have seen before (reports by McKinsey, Gatner and IBM, and info-graphics by Intel and Go-Globe) are agglomerated in one comprehensive and up-to-date view of Big Data.
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015Emanuele Della Valle
EIT ICT Labs wants be present at EXPO 2015. The City Data Fusion project proposes to install City Sensing in EXPO Gate to display the pulse of Milano during the EXPO. The idea of City Data Fusion and the installation of City Data Fusion for Milano Design Week 2014 is covered in the slides.
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...Emanuele Della Valle
Linked Data publishing on the Web is a stably growing phenomenon, but its effective usage depends on the ability of consumers to assess the trustworthiness and the relevance of the published data. Pure automatic techniques are often inadequate to this end. Crowdsourcing is often advocated as a valuable solution. In this presentation, we propose WikiFinder – a Games With A Purpose inspired by popular mobile puzzle games – and we report on its effectiveness in solving typical Linked Data Management tasks.
It's a Streaming World! Reasoning upon Rapidly Changing Information (Milano, ...Emanuele Della Valle
Reasoning on rapidly chancing information requires: a) semantic models for representing both data streams and continuous querying/reasoning tasks, and b) reasoning algorithms optimised for continuous reactive query-answering. This talk presents applications cases from which Stream Reasoning requirements were elicited, it briefly covers the findings of 5 year of research, it presents an optimised algorithm for Incremental Reasoning on RDF Streams (IMaRS), and offers an outlook on future research opportunities.
City Data Fusion: A Big Data Infrastructure to sense the pulse of the city in...Emanuele Della Valle
Streams of information flow through our cities thanks to their progressive instrumentation with diverse sensors, a wide adoption of smart phones and social networks, and a growing open release of datasets. This research investigates the possibility to feel the pulse of our cities in real-time by fusing and making sense of all those information flows. The expected result is a Big Data infrastructure that exploits: semantic technologies, streaming databases, visual analytics, and crowd-sourcing techniques whose incentives are designed for urban environment and life styles. Early deployments for city scale events offer insights on the kind of services such infrastructure will enable.
Order Matters! Harnessing a World of Orderings for Reasoning over Massive DataEmanuele Della Valle
More and more applications require real-time processing of massive, dynamically generated, ordered data; order is an essential factor as it reflects recency or relevance. Semantic technologies risk being unable to meet the needs of such applications, as they are not equipped with the appropriate instruments for answering queries over massive, highly dynamic, ordered data sets. This talk argues that some order-aware data management techniques should be exported to the context of semantic technologies, by integrating ordering with reasoning, and by using methods which are inspired by stream and rank-aware data management. This talk systematically explores the problem space, and points both to problems which have been successfully approached and to problems which still need fundamental research, in an attempt to stimulate and guide a paradigm shift in semantic technologies.
Every body talks about Big Data, but why? Do it create value? Do it enable some paradigmatic shifts in the way we work with data? This talk I did at ComoNext research and technological park cast some light on those questions.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. This key note, which I gave at the 12th Semantic Web Summer School, presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.
The forth lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
More and more applications require real-time processing of heterogeneous data streams. In terms of the “Vs” of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
C’è un modo di raccontare un evento che passa attraverso la lettura dei flussi social che genera. Quella traccia digitale che ogni partecipante lascia sui social network quando condivide la sua partecipazione o la sua opinione. E’ possibile fondere e interpretare in tempo reale tali tracce utilizzando tecnologie d’analisi d’avanguardia e modelli avanzati di visualizzazione dei dati. Nel 2014 in collaborazione con StudioLabo e Telecom Italia, il Politecnico di Milano ha realizzato CitySensing, per mostrare l’impronta lasciata dal FuoriSalone sui social network. Focalizzando, in seguito, CitySensing sulle esigenze del gestore dell’evento, il Politecnico di Milano ha mostrato la potenzialità dell’approccio per il Festival della Comunicazione di Camogli e per il Festival delle Letterature di Pescara. La soluzione è ora offerta da Fluxedo.
C'è un modo di racocontare la città che passa attraverso la lettura dei flussi di dati che essa genera. Quelle tracce digitali che ciascuno di noi lascia ogni volta che compie un piccolo gesto quotidiano, come fare una telefonata o inviare un tweet.
In City Data Fusion, il Politecnico di Milano e Telecom Italia raccontano le città fondendo, interpretando e visualizzando i Big Data, ovvero quell'enorme e continuo flusso di tracce digitali che i loro abitanti e visitotori lasciano utilizzando il proprio smartphone o i servizi della città.
Questa presentazione vi introduce all'osservazione alcune città italiane in una prospettiva nuova.
Bi-later integration are a short term approach to business integration, but only standards provide a long term solution. Unfortunately, agreeing on standards is hard and takes time, thus translation between standards is unavoidable. Embracing change is the only way to benefit from short term translation while developing over time comprehensive standards. Semantic technologies are design with flexibility in mind and, therefore, they can help in developing more comprehensive standards and easier to maintain translations.
Big data: why, what, paradigm shifts enabled , tools and market landscapeEmanuele Della Valle
This presentation brings together many contents you may have seen before (reports by McKinsey, Gatner and IBM, and info-graphics by Intel and Go-Globe) are agglomerated in one comprehensive and up-to-date view of Big Data.
City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015Emanuele Della Valle
EIT ICT Labs wants be present at EXPO 2015. The City Data Fusion project proposes to install City Sensing in EXPO Gate to display the pulse of Milano during the EXPO. The idea of City Data Fusion and the installation of City Data Fusion for Milano Design Week 2014 is covered in the slides.
On the effectiveness of a Mobile Puzzle Game UI to Crowdsource Linked Data Ma...Emanuele Della Valle
Linked Data publishing on the Web is a stably growing phenomenon, but its effective usage depends on the ability of consumers to assess the trustworthiness and the relevance of the published data. Pure automatic techniques are often inadequate to this end. Crowdsourcing is often advocated as a valuable solution. In this presentation, we propose WikiFinder – a Games With A Purpose inspired by popular mobile puzzle games – and we report on its effectiveness in solving typical Linked Data Management tasks.
It's a Streaming World! Reasoning upon Rapidly Changing Information (Milano, ...Emanuele Della Valle
Reasoning on rapidly chancing information requires: a) semantic models for representing both data streams and continuous querying/reasoning tasks, and b) reasoning algorithms optimised for continuous reactive query-answering. This talk presents applications cases from which Stream Reasoning requirements were elicited, it briefly covers the findings of 5 year of research, it presents an optimised algorithm for Incremental Reasoning on RDF Streams (IMaRS), and offers an outlook on future research opportunities.
City Data Fusion: A Big Data Infrastructure to sense the pulse of the city in...Emanuele Della Valle
Streams of information flow through our cities thanks to their progressive instrumentation with diverse sensors, a wide adoption of smart phones and social networks, and a growing open release of datasets. This research investigates the possibility to feel the pulse of our cities in real-time by fusing and making sense of all those information flows. The expected result is a Big Data infrastructure that exploits: semantic technologies, streaming databases, visual analytics, and crowd-sourcing techniques whose incentives are designed for urban environment and life styles. Early deployments for city scale events offer insights on the kind of services such infrastructure will enable.
Order Matters! Harnessing a World of Orderings for Reasoning over Massive DataEmanuele Della Valle
More and more applications require real-time processing of massive, dynamically generated, ordered data; order is an essential factor as it reflects recency or relevance. Semantic technologies risk being unable to meet the needs of such applications, as they are not equipped with the appropriate instruments for answering queries over massive, highly dynamic, ordered data sets. This talk argues that some order-aware data management techniques should be exported to the context of semantic technologies, by integrating ordering with reasoning, and by using methods which are inspired by stream and rank-aware data management. This talk systematically explores the problem space, and points both to problems which have been successfully approached and to problems which still need fundamental research, in an attempt to stimulate and guide a paradigm shift in semantic technologies.
Order Matters! Harnessing a World of Orderings for Reasoning over Massive Data
La città dei balocchi 2017 in numeri - Fluxedo
1. La Città dei Balocchi 2017 in numeri
Emanuele Della Valle
Prof. DEIB - Politecnico di Milano
Fondatore Fluxedo s.r.l.
20/01/17 1
2. Chi ha fatto cosa
• Committente:
• Consorzio Como Turistica
• Dati:
• Conta persone: Politecnico di Milano
• Presenze e mobilità: TIM
• Analisi:
• Fluxedo
20/01/17 2Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_
3. Supporto di EIT Digital
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 3
5. Analisi dato telefonico di TIM
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 5
6. I numeri che contano
• Nel periodo della Città dei Balocchi, dal 25
novembre 2017 al 7 gennaio 2018, in piazza Duomo
sono entrate 1.976.000 persone
• Il 6,6% in più dell'edizione 2016
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 6
7. Qualche numero dal conta persone
• L'8 dicembre con 81.000 persone è stato il giorno di
maggiore affluenza
• Per confronto, le due giornate che hanno registrato il
maggior numero di accessi sono
• sabato 27 Maggio con 60.700 e
• sabato 1 Luglio con 51.000
Valore medio nei giorni estivi .
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 7
8. Qualche numero dal conta persone
• Top 5 giornate
• venerdì 8 Dicembre (Immacolata) con 81.000 ingressi
• sabato 16 Dicembre con 71.000 ingressi
• sabato 9 Dicembre con 68.000 ingressi
• sabato 23 Dicembre con 66.600 ingressi
• sabato 30 Dicembre con 65.200 ingressi
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 8
9. Prime analisi
• Le persone vengono per vedere le luci
• L'ora di picco è alle 16:00
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 9
10. Prime analisi
• Le persone vengono per vedere le luci
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 10
11. Prime analisi
• Un turismo che attrae gli stranieri
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 11
12. Prime analisi
• Un turismo che attrae gli da fuori provincia
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 12
13. Prime analisi
• Vengono per l'accensione delle luci
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 13
14. Prime analisi
• Un evento che
• attira tutti ed
• è di grande interesse per la fascia 41-60
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 14
15. Prime analisi
• Un evento influenzato dal meteo
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 15
16. Un analisi più approfondita
• potrebbe evidenziare pattern nei
• micro flussi sulla piazza
• macro flussi sulla città (strade di accesso)
• Da utilizzare per prendere decisioni
• organizzare giornate a tema
• potenziare i battelli
• scegliere gli orari navette
• mettere treni speciali
20/01/17 Emanuele Della Valle - @manudellavalle prof. @polimi, R&D @fluxedo_ 16
17. La Città dei Balocchi 2017 in numeri
Emanuele Della Valle
Prof. DEIB - Politecnico di Milano
Fondatore Fluxedo s.r.l.
20/01/17 17