SlideShare une entreprise Scribd logo
1  sur  25
IT for Tourism Services, UniBg 2017-2018
Analytics, Insights, Cookies,
and the Disappearing Privacy
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
What Are We Talking About Today?
slide 2Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
1. Logfiles
2. Analytics
3. Google Analytics
4. Insights
5. Cookies
6. Privacy
7. Security
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Logfiles
slide 3Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Every time a personal computer or a smartphone connects with a server –- and a
browser visualizes a web page -– details of the connection are registered.
In short, these details register
 which machines connect
 which webpages are visited
 how long each visit to each page lasts.
These details are logged, and can be read.
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Web Analytics
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
According to Wikipedia, web analytics is the measurement, collection, analysis
and reporting of internet data for purposes of understanding and optimizing web
usage.
Web analytics is not just a tool for measuring website traffic but can be used as a
tool for business research and market research.
Web analytics applications can also help companies measure the results of
traditional advertising campaigns.
Web analytics provides information about the number of visitors to a website
and the number of page views. It helps gauge traffic and popularity trends which
is useful for market research.
slide 4
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Analytics through Logfile Analysis
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Web analytics technologies are very frequently based
on logfile analysis. What does this mean?
We saw that web servers record some of their
transactions in a logfile. These logfiles can be read by
a program to provide data.
Two units of measure were introduced in the 1990s to
gauge the amount of human activity on web servers.
These units were
 page views and
 visits, or sessions.
slide 5
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Metrics: Page Views and Visits
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Let’s consider how the very first units of measure in
web analytics technologies were defined in the 1990s.
A page view was defined as a request made to the
web server for a webpage.
A visit was defined as a sequence of requests from a
uniquely identified client that expires after a certain
amount of inactivity, usually 30 minutes.
slide 6
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Metrics: Bounce Rate and Unique Visitors
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Today’s analytics technologies, however, consider more metrics than simply the
page views and the visits units of measure. Here we list some of them.
 Bounce rate. The percentage of visits where the visitor enters and exits at the
same webpage without visiting any other pages on the website.
 Unique visitors. The uniquely identified client generating requests on the web
server (log analysis) or viewing pages (page tagging) within a defined time period
(i.e. day, week or month).
A unique visitor counts once within the timescale.
A visitor can make multiple visits.
slide 7
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Metrics: Session Duration, Time On Page
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
 Session duration. Average amount of time that visitors spend on the site each
time they visit.
Session duration can be complicated by the fact that analytics programs cannot
measure the length of the final page view -- unless they record a page close event,
such as onUnload().
 Page view duration / time on page. Average amount of time that visitors spend
on each page of the site.
slide 8
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Metrics: Active Time, Page Depth, etc.
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
 Active time / engagement time. Average amount of time that visitors spend
actually interacting with content on a web page, based on mouse moves, clicks,
hovers and scrolls.
Unlike session duration and page view duration / time on page, this metric can
accurately measure the length of engagement in the final page view.
 Page depth / page views per session. Page depth is the average number of
page views a visitor consumes before ending their session.
This metric is calculated by dividing total number of page views by total number
of sessions and is also called page views per session or pv/session.
slide 9
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Google Analytics
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Google Analytics is one among many tools collecting data on visits to websites.
Still, it is widely recognized as a most reliable and leading source of information.
Google Analytics is a free service offered by Google that generates detailed
statistics about the visitors to a website.
The product is aimed at marketers as opposed to webmasters and technologists
from which the industry of web analytics originally grew.
It is the most widely used website statistics service, currently in use on around
57% of the 10,000 most popular websites.
slide 10
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Analytics through Page Tagging
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Google Analytics is activated by the website’s manager by adding a
javascript tracking code to the html source of every page the traffic of
which is to be recorded.
Then., Google Analytics is a web analytics technology based on page tagging.
slide 11
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
A Google Analytics Dashboard
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Google Analytics
slide 12
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Another Google Analytics Dashboard
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Google Analytics
slide 13
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Metrics: Ranking & Ranking Tools
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
You might remember, by now, what we
observed a couple of weeks ago, when we
talked about networks, search engines,
and ranking...
Ranking in terms of networks –- basically,
the number of links to and from a
webpage –- is measured and made visible
by web analytics technologies, based
either on logfiles or on page tagging.
slide 14
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Insights
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
All this refers to every webpage. But social
networks’ webpages are logged and can
be analyzed, too.
The most diffused social networking
platform, i.e. Facebook, calls its web
analysis tool as Facebook Insights.
slide 15
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Metrics and Cookies
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Unique visitors’ identification is made to the visitor’s computer, not the person –-
usually via cookie.
A cookie is used for an origin website to send state information to a user’s
browser and for the browser to return the state information to the origin site.
The state information can be used for authentication, identification of a user
session, user’s preferences, shopping cart contents, or anything else that can be
accomplished through storing text data on the user’s computer.
slide 16
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Cookies and Tracking
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Cookies are not software: just alphanumeric strings. They cannot be
programmed, cannot carry viruses, and cannot install malware on the host
computer.
However, they can be used by spyware to track user’s browsing activities —- a
major privacy concern that prompted law makers to take action.
Cookies can also be stolen by hackers to gain access to a victim’s web account.
Now, let’s see where cookies are stored (and can be deleted…), for instance in a
Mozilla Firefox browser.
slide 17
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Cookies: Where Are They?
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 slide 18
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Cookies Consent
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Websites which use cookies
are requested to tell visitors
that they do so, provide
details on the cookie policy
they adopt, and explicitly
ask visitors to accept
cookies.
This is to avoid that some
sphere of privacy is
renounced inadvertently.
slide 19
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Privacy
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Substantial questions about e-commerce functions concern transaction security
and privacy.
Let’s start from privacy.
Privacy is a concept of Anglo-Saxon origin linked to the idea of human rights,
which concerns the right of everyone to live their lives free from prying eyes.
(Privacy does not have limitations shared –- much less standardized –- and in the
eyes of different people, or different cultures, can mean different things.)
slide 20
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Disappearing Privacy
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
It is argued that privacy is now disappearing.
For example, telecoms collect data on where (in which cell) any caller’s and
recipient’s cellphones are located –- even when phones have no call in progress –-,
and data on when, where, how long, and between whom each and every call takes
place are recorded.
This is among the consequences of the “digital revolution”.
It’s therefore not surprising that when a website uses cookies, it is requested to
warn visitors through a visible alert, and allow them to refuse cookies.
slide 21
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Privacy Renounced
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
Apart from the case of cookies, visitors may allow to have their privacy
voluntarily violated when they judge that this is worthwhile.
For instance, when a person wants to buy something on line (a book, a flight, an
hotel room…), she/he voluntarily agrees to reveal her/his name and financial
details (credit card, bank account, PayPal identity…, passwords included)
because she/he reckons that such a risk may be taken, after all.
Pay attention, please. Writing an e-mail address in a form, e.g. to receive a
newsletter, does not violate any privacy per se, inasmuch as an e-mail address
doesn’t carry any personal details on the person who uses it.
slide 22
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Security. Legal Responsibilities
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
From a customers’ point of view, privacy means that
 if someone collects data on you, she/he must inform you that she/he keeps
those data, who’s legally in charge, and what data have been collected;
 you must be assured that any data collected about you is certainly and
radically erased, if you ask so (with the obvious exceptions of data collected by
public services, like city councils or hospitals, and public business data, like
invoices);
 webpages containing critical data (such as a bank accounts ID, sensible data,
or any serious passwords) should be encrypted.
slide 23
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Security. Cryptography
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
The concept behind encryption is quite simple –- make the data unlegible for
everyone else except those specified.
This is done using cryptography –- the study of sending “messages” in a secret
form so that only those authorized to receive the “message” be able to read it.
The easy part of encryption is applying a mathematical function to the plaintext
and converting it to an encrypted cipher.
The harder part is to ensure that the people who are supposed to decipher this
message can do so with ease, yet only those authorised are able to decipher it.
slide 24
IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018
Security
Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
To be accurate, what financial institutions and commercial firms must guarantee
to their customers while encrypting their message is not simply their privacy. It
is rather called transactions’ security.
Encrypted webpages use a different transmission protocol. They use https
instead of http.
slide 25

Contenu connexe

Similaire à Analytics, Insights, Cookies, and the Disappearing Privacy

Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...
Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...
Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...Roberto Peretta
 
Design: Content, Copyright, and Creative Commons
Design: Content, Copyright, and Creative CommonsDesign: Content, Copyright, and Creative Commons
Design: Content, Copyright, and Creative CommonsRoberto Peretta
 
Making Web Analytics actionable with Web Content Management
Making Web Analytics actionable with Web Content ManagementMaking Web Analytics actionable with Web Content Management
Making Web Analytics actionable with Web Content ManagementAmplexor
 
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...Overalia
 
Analytics as one of my 2015-2016 lectures at the University of Bergamo
Analytics as one of my 2015-2016 lectures at the University of BergamoAnalytics as one of my 2015-2016 lectures at the University of Bergamo
Analytics as one of my 2015-2016 lectures at the University of BergamoRoberto Peretta
 
[Company B] 2018.01.24 김규호 CES 2018 review 세미나
[Company B] 2018.01.24 김규호 CES 2018 review 세미나[Company B] 2018.01.24 김규호 CES 2018 review 세미나
[Company B] 2018.01.24 김규호 CES 2018 review 세미나JEONG HAN Eom
 
IRJET - Digital Advertisement using Artificial Intelligence for Data Anal...
IRJET -  	  Digital Advertisement using Artificial Intelligence for Data Anal...IRJET -  	  Digital Advertisement using Artificial Intelligence for Data Anal...
IRJET - Digital Advertisement using Artificial Intelligence for Data Anal...IRJET Journal
 
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYRESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYIRJET Journal
 
Analytics, part of my 2014-2015 lectures at the University of Bergamo.
Analytics, part of my 2014-2015 lectures at the University of Bergamo.Analytics, part of my 2014-2015 lectures at the University of Bergamo.
Analytics, part of my 2014-2015 lectures at the University of Bergamo.Roberto Peretta
 
GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...
GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...
GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...Neo4j
 
DI&A Webinar: Big Data Analytics
DI&A Webinar: Big Data AnalyticsDI&A Webinar: Big Data Analytics
DI&A Webinar: Big Data AnalyticsDATAVERSITY
 
IoT digital disruption and new IoT business models
IoT digital disruption and new IoT business modelsIoT digital disruption and new IoT business models
IoT digital disruption and new IoT business modelsIoTAnalytics
 
Design: Content, Copyright & Creative Commons
Design: Content, Copyright & Creative CommonsDesign: Content, Copyright & Creative Commons
Design: Content, Copyright & Creative CommonsRoberto Peretta
 
Part 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technologyPart 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technologyTrieu Nguyen
 
Mining the Web Data for Classifying and Predicting Users’ Requests
Mining the Web Data for Classifying and Predicting Users’ RequestsMining the Web Data for Classifying and Predicting Users’ Requests
Mining the Web Data for Classifying and Predicting Users’ RequestsIJECEIAES
 
Digital marketing without 3rd party cookies
Digital marketing without 3rd party cookiesDigital marketing without 3rd party cookies
Digital marketing without 3rd party cookiesJakub Otrząsek
 

Similaire à Analytics, Insights, Cookies, and the Disappearing Privacy (20)

Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...
Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...
Analytics, Insights, Cookies ant the Disappearing Privacy as one of my 2016-2...
 
Design: Content, Copyright, and Creative Commons
Design: Content, Copyright, and Creative CommonsDesign: Content, Copyright, and Creative Commons
Design: Content, Copyright, and Creative Commons
 
Web analytics
Web analyticsWeb analytics
Web analytics
 
Research Paper
Research PaperResearch Paper
Research Paper
 
Making Web Analytics actionable with Web Content Management
Making Web Analytics actionable with Web Content ManagementMaking Web Analytics actionable with Web Content Management
Making Web Analytics actionable with Web Content Management
 
BDVA default slide pack
BDVA default slide packBDVA default slide pack
BDVA default slide pack
 
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
How To Promote Your Online Visibility Using Web Analytics. How To Promote You...
 
Analytics as one of my 2015-2016 lectures at the University of Bergamo
Analytics as one of my 2015-2016 lectures at the University of BergamoAnalytics as one of my 2015-2016 lectures at the University of Bergamo
Analytics as one of my 2015-2016 lectures at the University of Bergamo
 
[Company B] 2018.01.24 김규호 CES 2018 review 세미나
[Company B] 2018.01.24 김규호 CES 2018 review 세미나[Company B] 2018.01.24 김규호 CES 2018 review 세미나
[Company B] 2018.01.24 김규호 CES 2018 review 세미나
 
IRJET - Digital Advertisement using Artificial Intelligence for Data Anal...
IRJET -  	  Digital Advertisement using Artificial Intelligence for Data Anal...IRJET -  	  Digital Advertisement using Artificial Intelligence for Data Anal...
IRJET - Digital Advertisement using Artificial Intelligence for Data Anal...
 
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDYRESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY
RESEARCH CHALLENGES IN WEB ANALYTICS – A STUDY
 
Analytics, part of my 2014-2015 lectures at the University of Bergamo.
Analytics, part of my 2014-2015 lectures at the University of Bergamo.Analytics, part of my 2014-2015 lectures at the University of Bergamo.
Analytics, part of my 2014-2015 lectures at the University of Bergamo.
 
GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...
GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...
GraphTour - Crédit Agricole: Making the Most of Public Information on our Cli...
 
DI&A Webinar: Big Data Analytics
DI&A Webinar: Big Data AnalyticsDI&A Webinar: Big Data Analytics
DI&A Webinar: Big Data Analytics
 
IoT digital disruption and new IoT business models
IoT digital disruption and new IoT business modelsIoT digital disruption and new IoT business models
IoT digital disruption and new IoT business models
 
Design: Content, Copyright & Creative Commons
Design: Content, Copyright & Creative CommonsDesign: Content, Copyright & Creative Commons
Design: Content, Copyright & Creative Commons
 
Google Analytics tutorial by Jay Murphy
Google Analytics tutorial by Jay Murphy Google Analytics tutorial by Jay Murphy
Google Analytics tutorial by Jay Murphy
 
Part 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technologyPart 1: Introduction to digital marketing technology
Part 1: Introduction to digital marketing technology
 
Mining the Web Data for Classifying and Predicting Users’ Requests
Mining the Web Data for Classifying and Predicting Users’ RequestsMining the Web Data for Classifying and Predicting Users’ Requests
Mining the Web Data for Classifying and Predicting Users’ Requests
 
Digital marketing without 3rd party cookies
Digital marketing without 3rd party cookiesDigital marketing without 3rd party cookies
Digital marketing without 3rd party cookies
 

Plus de Roberto Peretta

#Alta Via 1 Dolomiti Sistur 2019
#Alta Via 1 Dolomiti Sistur 2019#Alta Via 1 Dolomiti Sistur 2019
#Alta Via 1 Dolomiti Sistur 2019Roberto Peretta
 
#Overtourism Sistur 2019
#Overtourism Sistur 2019#Overtourism Sistur 2019
#Overtourism Sistur 2019Roberto Peretta
 
Big Bang Disruptions and Tourism
Big Bang Disruptions and TourismBig Bang Disruptions and Tourism
Big Bang Disruptions and TourismRoberto Peretta
 
Web Presence Quality Reporting
Web Presence Quality ReportingWeb Presence Quality Reporting
Web Presence Quality ReportingRoberto Peretta
 
Web Presence. A 7Loci Evaluation Model
Web Presence. A 7Loci Evaluation ModelWeb Presence. A 7Loci Evaluation Model
Web Presence. A 7Loci Evaluation ModelRoberto Peretta
 
The web presence of House Museums. Network opportunities
The web presence of House Museums. Network opportunitiesThe web presence of House Museums. Network opportunities
The web presence of House Museums. Network opportunitiesRoberto Peretta
 
The web quality of Italian sky resorts in the Alps. An enquiry
The web quality of Italian sky resorts in the Alps. An enquiryThe web quality of Italian sky resorts in the Alps. An enquiry
The web quality of Italian sky resorts in the Alps. An enquiryRoberto Peretta
 
Quality. Models & Meta-Models. The 7Loci
Quality. Models & Meta-Models. The 7LociQuality. Models & Meta-Models. The 7Loci
Quality. Models & Meta-Models. The 7LociRoberto Peretta
 
Networking House Museums Throughout Italy. A DemHistory
Networking House Museums Throughout Italy. A DemHistoryNetworking House Museums Throughout Italy. A DemHistory
Networking House Museums Throughout Italy. A DemHistoryRoberto Peretta
 
Networks & Social Networks. Web Presence
Networks & Social Networks. Web PresenceNetworks & Social Networks. Web Presence
Networks & Social Networks. Web PresenceRoberto Peretta
 
Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...
Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...
Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...Roberto Peretta
 
Turismo e responsabilità. Riguarda anche il digitale?
Turismo e responsabilità. Riguarda anche il digitale?Turismo e responsabilità. Riguarda anche il digitale?
Turismo e responsabilità. Riguarda anche il digitale?Roberto Peretta
 
Big-Bang Disruptions and Tourism
Big-Bang Disruptions and TourismBig-Bang Disruptions and Tourism
Big-Bang Disruptions and TourismRoberto Peretta
 
P2P Hospitality and Tourism Resilience. The Case of Milan, Italy
P2P Hospitality and Tourism Resilience. The Case of Milan, ItalyP2P Hospitality and Tourism Resilience. The Case of Milan, Italy
P2P Hospitality and Tourism Resilience. The Case of Milan, ItalyRoberto Peretta
 
Destinazione e qualità web. Stare al passo?
Destinazione e qualità web. Stare al passo?Destinazione e qualità web. Stare al passo?
Destinazione e qualità web. Stare al passo?Roberto Peretta
 
Design: Usability, Gamification, Augmented and Virtual Reality
Design: Usability, Gamification, Augmented and Virtual RealityDesign: Usability, Gamification, Augmented and Virtual Reality
Design: Usability, Gamification, Augmented and Virtual RealityRoberto Peretta
 
Web Reputation: Likes, Engagement & Sentiment
Web Reputation: Likes, Engagement & SentimentWeb Reputation: Likes, Engagement & Sentiment
Web Reputation: Likes, Engagement & SentimentRoberto Peretta
 
Quality, and the 7Loci Meta-Model
Quality, and the 7Loci Meta-ModelQuality, and the 7Loci Meta-Model
Quality, and the 7Loci Meta-ModelRoberto Peretta
 
Networks, Social Networks, and Web Presence. 2017-2018 edition
Networks, Social Networks, and Web Presence. 2017-2018 editionNetworks, Social Networks, and Web Presence. 2017-2018 edition
Networks, Social Networks, and Web Presence. 2017-2018 editionRoberto Peretta
 
Some 25 Years of eTourism. 2017-2018 edition
Some 25 Years of eTourism. 2017-2018 editionSome 25 Years of eTourism. 2017-2018 edition
Some 25 Years of eTourism. 2017-2018 editionRoberto Peretta
 

Plus de Roberto Peretta (20)

#Alta Via 1 Dolomiti Sistur 2019
#Alta Via 1 Dolomiti Sistur 2019#Alta Via 1 Dolomiti Sistur 2019
#Alta Via 1 Dolomiti Sistur 2019
 
#Overtourism Sistur 2019
#Overtourism Sistur 2019#Overtourism Sistur 2019
#Overtourism Sistur 2019
 
Big Bang Disruptions and Tourism
Big Bang Disruptions and TourismBig Bang Disruptions and Tourism
Big Bang Disruptions and Tourism
 
Web Presence Quality Reporting
Web Presence Quality ReportingWeb Presence Quality Reporting
Web Presence Quality Reporting
 
Web Presence. A 7Loci Evaluation Model
Web Presence. A 7Loci Evaluation ModelWeb Presence. A 7Loci Evaluation Model
Web Presence. A 7Loci Evaluation Model
 
The web presence of House Museums. Network opportunities
The web presence of House Museums. Network opportunitiesThe web presence of House Museums. Network opportunities
The web presence of House Museums. Network opportunities
 
The web quality of Italian sky resorts in the Alps. An enquiry
The web quality of Italian sky resorts in the Alps. An enquiryThe web quality of Italian sky resorts in the Alps. An enquiry
The web quality of Italian sky resorts in the Alps. An enquiry
 
Quality. Models & Meta-Models. The 7Loci
Quality. Models & Meta-Models. The 7LociQuality. Models & Meta-Models. The 7Loci
Quality. Models & Meta-Models. The 7Loci
 
Networking House Museums Throughout Italy. A DemHistory
Networking House Museums Throughout Italy. A DemHistoryNetworking House Museums Throughout Italy. A DemHistory
Networking House Museums Throughout Italy. A DemHistory
 
Networks & Social Networks. Web Presence
Networks & Social Networks. Web PresenceNetworks & Social Networks. Web Presence
Networks & Social Networks. Web Presence
 
Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...
Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...
Some 25 Years of eTourism as one of my 2018-2019 lectures at the University o...
 
Turismo e responsabilità. Riguarda anche il digitale?
Turismo e responsabilità. Riguarda anche il digitale?Turismo e responsabilità. Riguarda anche il digitale?
Turismo e responsabilità. Riguarda anche il digitale?
 
Big-Bang Disruptions and Tourism
Big-Bang Disruptions and TourismBig-Bang Disruptions and Tourism
Big-Bang Disruptions and Tourism
 
P2P Hospitality and Tourism Resilience. The Case of Milan, Italy
P2P Hospitality and Tourism Resilience. The Case of Milan, ItalyP2P Hospitality and Tourism Resilience. The Case of Milan, Italy
P2P Hospitality and Tourism Resilience. The Case of Milan, Italy
 
Destinazione e qualità web. Stare al passo?
Destinazione e qualità web. Stare al passo?Destinazione e qualità web. Stare al passo?
Destinazione e qualità web. Stare al passo?
 
Design: Usability, Gamification, Augmented and Virtual Reality
Design: Usability, Gamification, Augmented and Virtual RealityDesign: Usability, Gamification, Augmented and Virtual Reality
Design: Usability, Gamification, Augmented and Virtual Reality
 
Web Reputation: Likes, Engagement & Sentiment
Web Reputation: Likes, Engagement & SentimentWeb Reputation: Likes, Engagement & Sentiment
Web Reputation: Likes, Engagement & Sentiment
 
Quality, and the 7Loci Meta-Model
Quality, and the 7Loci Meta-ModelQuality, and the 7Loci Meta-Model
Quality, and the 7Loci Meta-Model
 
Networks, Social Networks, and Web Presence. 2017-2018 edition
Networks, Social Networks, and Web Presence. 2017-2018 editionNetworks, Social Networks, and Web Presence. 2017-2018 edition
Networks, Social Networks, and Web Presence. 2017-2018 edition
 
Some 25 Years of eTourism. 2017-2018 edition
Some 25 Years of eTourism. 2017-2018 editionSome 25 Years of eTourism. 2017-2018 edition
Some 25 Years of eTourism. 2017-2018 edition
 

Dernier

Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)cama23
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
Food processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsFood processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsManeerUddin
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...JojoEDelaCruz
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxHumphrey A Beña
 

Dernier (20)

LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)Global Lehigh Strategic Initiatives (without descriptions)
Global Lehigh Strategic Initiatives (without descriptions)
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
Food processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsFood processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture hons
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
ENG 5 Q4 WEEk 1 DAY 1 Restate sentences heard in one’s own words. Use appropr...
 
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptxINTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
INTRODUCTION TO CATHOLIC CHRISTOLOGY.pptx
 

Analytics, Insights, Cookies, and the Disappearing Privacy

  • 1. IT for Tourism Services, UniBg 2017-2018 Analytics, Insights, Cookies, and the Disappearing Privacy Analytics, Cookies, Privacy. Lecture 08, October 26, 2017
  • 2. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 What Are We Talking About Today? slide 2Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 1. Logfiles 2. Analytics 3. Google Analytics 4. Insights 5. Cookies 6. Privacy 7. Security
  • 3. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Logfiles slide 3Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Every time a personal computer or a smartphone connects with a server –- and a browser visualizes a web page -– details of the connection are registered. In short, these details register  which machines connect  which webpages are visited  how long each visit to each page lasts. These details are logged, and can be read.
  • 4. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Web Analytics Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 According to Wikipedia, web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage. Web analytics is not just a tool for measuring website traffic but can be used as a tool for business research and market research. Web analytics applications can also help companies measure the results of traditional advertising campaigns. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research. slide 4
  • 5. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Analytics through Logfile Analysis Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Web analytics technologies are very frequently based on logfile analysis. What does this mean? We saw that web servers record some of their transactions in a logfile. These logfiles can be read by a program to provide data. Two units of measure were introduced in the 1990s to gauge the amount of human activity on web servers. These units were  page views and  visits, or sessions. slide 5
  • 6. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Metrics: Page Views and Visits Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Let’s consider how the very first units of measure in web analytics technologies were defined in the 1990s. A page view was defined as a request made to the web server for a webpage. A visit was defined as a sequence of requests from a uniquely identified client that expires after a certain amount of inactivity, usually 30 minutes. slide 6
  • 7. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Metrics: Bounce Rate and Unique Visitors Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Today’s analytics technologies, however, consider more metrics than simply the page views and the visits units of measure. Here we list some of them.  Bounce rate. The percentage of visits where the visitor enters and exits at the same webpage without visiting any other pages on the website.  Unique visitors. The uniquely identified client generating requests on the web server (log analysis) or viewing pages (page tagging) within a defined time period (i.e. day, week or month). A unique visitor counts once within the timescale. A visitor can make multiple visits. slide 7
  • 8. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Metrics: Session Duration, Time On Page Analytics, Cookies, Privacy. Lecture 08, October 26, 2017  Session duration. Average amount of time that visitors spend on the site each time they visit. Session duration can be complicated by the fact that analytics programs cannot measure the length of the final page view -- unless they record a page close event, such as onUnload().  Page view duration / time on page. Average amount of time that visitors spend on each page of the site. slide 8
  • 9. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Metrics: Active Time, Page Depth, etc. Analytics, Cookies, Privacy. Lecture 08, October 26, 2017  Active time / engagement time. Average amount of time that visitors spend actually interacting with content on a web page, based on mouse moves, clicks, hovers and scrolls. Unlike session duration and page view duration / time on page, this metric can accurately measure the length of engagement in the final page view.  Page depth / page views per session. Page depth is the average number of page views a visitor consumes before ending their session. This metric is calculated by dividing total number of page views by total number of sessions and is also called page views per session or pv/session. slide 9
  • 10. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Google Analytics Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Google Analytics is one among many tools collecting data on visits to websites. Still, it is widely recognized as a most reliable and leading source of information. Google Analytics is a free service offered by Google that generates detailed statistics about the visitors to a website. The product is aimed at marketers as opposed to webmasters and technologists from which the industry of web analytics originally grew. It is the most widely used website statistics service, currently in use on around 57% of the 10,000 most popular websites. slide 10
  • 11. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Analytics through Page Tagging Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Google Analytics is activated by the website’s manager by adding a javascript tracking code to the html source of every page the traffic of which is to be recorded. Then., Google Analytics is a web analytics technology based on page tagging. slide 11
  • 12. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 A Google Analytics Dashboard Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Google Analytics slide 12
  • 13. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Another Google Analytics Dashboard Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Google Analytics slide 13
  • 14. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Metrics: Ranking & Ranking Tools Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 You might remember, by now, what we observed a couple of weeks ago, when we talked about networks, search engines, and ranking... Ranking in terms of networks –- basically, the number of links to and from a webpage –- is measured and made visible by web analytics technologies, based either on logfiles or on page tagging. slide 14
  • 15. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Insights Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 All this refers to every webpage. But social networks’ webpages are logged and can be analyzed, too. The most diffused social networking platform, i.e. Facebook, calls its web analysis tool as Facebook Insights. slide 15
  • 16. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Metrics and Cookies Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Unique visitors’ identification is made to the visitor’s computer, not the person –- usually via cookie. A cookie is used for an origin website to send state information to a user’s browser and for the browser to return the state information to the origin site. The state information can be used for authentication, identification of a user session, user’s preferences, shopping cart contents, or anything else that can be accomplished through storing text data on the user’s computer. slide 16
  • 17. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Cookies and Tracking Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Cookies are not software: just alphanumeric strings. They cannot be programmed, cannot carry viruses, and cannot install malware on the host computer. However, they can be used by spyware to track user’s browsing activities —- a major privacy concern that prompted law makers to take action. Cookies can also be stolen by hackers to gain access to a victim’s web account. Now, let’s see where cookies are stored (and can be deleted…), for instance in a Mozilla Firefox browser. slide 17
  • 18. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Cookies: Where Are They? Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 slide 18
  • 19. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Cookies Consent Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Websites which use cookies are requested to tell visitors that they do so, provide details on the cookie policy they adopt, and explicitly ask visitors to accept cookies. This is to avoid that some sphere of privacy is renounced inadvertently. slide 19
  • 20. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Privacy Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Substantial questions about e-commerce functions concern transaction security and privacy. Let’s start from privacy. Privacy is a concept of Anglo-Saxon origin linked to the idea of human rights, which concerns the right of everyone to live their lives free from prying eyes. (Privacy does not have limitations shared –- much less standardized –- and in the eyes of different people, or different cultures, can mean different things.) slide 20
  • 21. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Disappearing Privacy Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 It is argued that privacy is now disappearing. For example, telecoms collect data on where (in which cell) any caller’s and recipient’s cellphones are located –- even when phones have no call in progress –-, and data on when, where, how long, and between whom each and every call takes place are recorded. This is among the consequences of the “digital revolution”. It’s therefore not surprising that when a website uses cookies, it is requested to warn visitors through a visible alert, and allow them to refuse cookies. slide 21
  • 22. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Privacy Renounced Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 Apart from the case of cookies, visitors may allow to have their privacy voluntarily violated when they judge that this is worthwhile. For instance, when a person wants to buy something on line (a book, a flight, an hotel room…), she/he voluntarily agrees to reveal her/his name and financial details (credit card, bank account, PayPal identity…, passwords included) because she/he reckons that such a risk may be taken, after all. Pay attention, please. Writing an e-mail address in a form, e.g. to receive a newsletter, does not violate any privacy per se, inasmuch as an e-mail address doesn’t carry any personal details on the person who uses it. slide 22
  • 23. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Security. Legal Responsibilities Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 From a customers’ point of view, privacy means that  if someone collects data on you, she/he must inform you that she/he keeps those data, who’s legally in charge, and what data have been collected;  you must be assured that any data collected about you is certainly and radically erased, if you ask so (with the obvious exceptions of data collected by public services, like city councils or hospitals, and public business data, like invoices);  webpages containing critical data (such as a bank accounts ID, sensible data, or any serious passwords) should be encrypted. slide 23
  • 24. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Security. Cryptography Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 The concept behind encryption is quite simple –- make the data unlegible for everyone else except those specified. This is done using cryptography –- the study of sending “messages” in a secret form so that only those authorized to receive the “message” be able to read it. The easy part of encryption is applying a mathematical function to the plaintext and converting it to an encrypted cipher. The harder part is to ensure that the people who are supposed to decipher this message can do so with ease, yet only those authorised are able to decipher it. slide 24
  • 25. IT for Tourism Services, UniBg 2017-2018IT for Tourism Services, UniBg 2017-2018 Security Analytics, Cookies, Privacy. Lecture 08, October 26, 2017 To be accurate, what financial institutions and commercial firms must guarantee to their customers while encrypting their message is not simply their privacy. It is rather called transactions’ security. Encrypted webpages use a different transmission protocol. They use https instead of http. slide 25