The different data retention policies weigh legal and privacy concerns against economics and need-to-know concerns to determine the retention time, archival rules, data formats, and the permissible means of storage, access, and encryption.
Data retention policy
A data retention policy is a recognized and proven protocol within an organization for retaining information for operational use while ensuring adherence to the laws and regulations concerning them. The objectives of a data retention policy are to keep important information for future use or reference, to organize information so it can be searched and accessed at a later date and to dispose of information that is no longer needed.
The data retention policies within an organization are a set of guidelines that describes which data will be archived, how long it will be kept and other factors concerning the retention of the data.
In the field of telecommunications, data retention (or data preservation) generally refers to the storage of call detail records (CDRs) of telephony and internettraffic and transaction data (IPDRs) by governments and commercial organisations. In the case of government data retention, the data that is stored is usually of telephone calls made and received, emails sent and received and websites visited. Location data is also collected.
The primary objective in government data retention is traffic analysis and mass surveillance. By analysing the retained data, governments can identify the locations of individuals, an individual's associates and the members of a group such as political opponents. These activities may or may not be lawful, depending on the constitutions and laws of each country. In many jurisdictions access to these databases may be made by a government with little or no judicial oversight (e.g., United States, UK, Australia).
In the case of commercial data retention, the data retained will usually be on transactions and web sites visited.
SPEECH: Telecommunications Interception and Access Amendment (Data Retention) Bill 2014
30 Oct 2014: The Bill contains a package of reforms to prevent the further degradation of the investigative capabilities of Australia’s law enforcement and national security agencies. The Bill will require companies providing telecommunications services in Australia - carriers and internet service providers - to keep a limited, prescribed set of telecommunications data for two years. #commsau
published: 29 Oct 2014
Telecommunications (Interception and Access) Amendment (Data Retention) Bill
Speaking in the House of Representatives about Data Retention.
published: 18 Mar 2015
Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014
published: 18 Mar 2015
27c3: Terrorists Win - Exploiting Telecommunications Data Retention? (en)
Speakers: Kay Hamacher, Stefan Katzenbeisser
Telecommunications data retention (TDR) has become a reality in most Western countries. Protagonists claim that the collection of massive amounts of data on the communication behavior of all individuals within a country would enable law enforcement agencies to exploit patterns in the stored data to uncover connections between suspects.
While this is obviously true for investigations after an incident happened, there is up to now no critical and sound assessment publicly available that evaluates whether TDR brings any pro-active benefits for the above mentioned, justified purposes.
In this talk we give for the first time a critical assessment of the power of TDR based on methods from information theory. To this end we have employed agent based...
published: 08 Jan 2011
Philip Ruddock Telecommunications Interception and Access Amendment (Data Retention) 17/03/15
Hon. Philip Ruddock MP Speaking in the house on the Data Retention Bill
published: 17 Mar 2015
The Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014
Today in Parliament I spoke on the The Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014 .I am confident that this bill returns to law enforcement agencies some of the tools they need to continue to protect the safety and wellbeing of all Australians.
published: 17 Mar 2015
Analytics for Telecommunications - Tableau
Discover how Tableau helps telco providers solve their biggest pain points - customer experience, innovative propositions and products, cost efficiency, and customer targeting.
Learn more about telco analytics with Tableau - https://www.tableau.com/solutions/telco-analytics/knowledge-hub
Visit https://www.tableau.com to learn more!
published: 23 Sep 2021
Data Retention Policy Explained I The Feed
What is the government's new data retention policy? Well... they don't seem entirely sure. But luckily Andy Park is here to give us the lowdown.
Facebook: https://www.facebook.com/SBS2Australia
Twitter: https://twitter.com/sbs2
Tumblr: http://sbs2australia.tumblr.com/
published: 07 Aug 2014
End to End Power BI Telecom Customer Retention Analysis
This is Telecom Customer Retention Analysis.
In which you see the following things.
•Customers who left within the last month.
• Services each customer has signed up for: phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies.
• Customer account information: how long as a customer, contract, payment method, paperless billing, monthly charges, total charges, and a number of tickets opened in the categories administrative and technical.
• Demographic info about customers – gender, age range, and if they have partners and dependents.
Here is the link to download this file
https://www.eloquens.com/tool/9GvESgXv/startups/cohort-analysis-excel-models-and-templates/telecom-customer-retention-analysis
published: 10 Oct 2021
Data Governance Explained in 5 Minutes
Learn about a platform to help direct, manage and monitor AI activities → https://ibm.biz/BdPu9s
Data Governance and Privacy → https://ibm.biz/Data_Governance_and_Privacy
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides, automate the enforcement of data protection policies, and activate metadata to build data products faster for more intelligent decisions. Scott Buckles quickly explains this topic in 5 minutes.
Create Data Fabric instead of Data Silos: https://ibm.biz/Governance_and_Data_Fabric
Download a free AI ebook: https://ibm.biz/Governance_Free_AI_Ebook
Get started for free on IBM Cloud: https://ibm.biz/Governance_Free_Cloud_Account
Subscribe to see more vide...
30 Oct 2014: The Bill contains a package of reforms to prevent the further degradation of the investigative capabilities of Australia’s law enforcement and nati...
30 Oct 2014: The Bill contains a package of reforms to prevent the further degradation of the investigative capabilities of Australia’s law enforcement and national security agencies. The Bill will require companies providing telecommunications services in Australia - carriers and internet service providers - to keep a limited, prescribed set of telecommunications data for two years. #commsau
30 Oct 2014: The Bill contains a package of reforms to prevent the further degradation of the investigative capabilities of Australia’s law enforcement and national security agencies. The Bill will require companies providing telecommunications services in Australia - carriers and internet service providers - to keep a limited, prescribed set of telecommunications data for two years. #commsau
Speakers: Kay Hamacher, Stefan Katzenbeisser
Telecommunications data retention (TDR) has become a reality in most Western countries. Protagonists claim that th...
Speakers: Kay Hamacher, Stefan Katzenbeisser
Telecommunications data retention (TDR) has become a reality in most Western countries. Protagonists claim that the collection of massive amounts of data on the communication behavior of all individuals within a country would enable law enforcement agencies to exploit patterns in the stored data to uncover connections between suspects.
While this is obviously true for investigations after an incident happened, there is up to now no critical and sound assessment publicly available that evaluates whether TDR brings any pro-active benefits for the above mentioned, justified purposes.
In this talk we give for the first time a critical assessment of the power of TDR based on methods from information theory. To this end we have employed agent based simulations, which mimic the communication behavior of a large community including a dark-net of alleged suspects. The structure and statistics of our telecommunication simulation, which drive the dynamics of telephone calls and simulated TDR data, were generated according to known statistics of real-world telecommunications networks.
Hiding in the unavoidable noise seems to be a passive strategy for terrorists to circumvent pro-active detection. This stems from a "needle in the haystack"-problem, that arises due to the small number of conspirators compared to the number of other participants.
In particular situations and with adopted strategies suspected terrorists might be able to eventually exploit TDR for their purposes and take an active approach to hiding in the crowd. Such TDR exploits would lower the probability of detection by law enforcement agencies and render TDR a potential security threat. Again, we use our simulations and our analysis procedure to assess this problem.
For more information visit:http://bit.ly/27c3_information
To download the video visit: http://bit.ly/27c3_videos
Speakers: Kay Hamacher, Stefan Katzenbeisser
Telecommunications data retention (TDR) has become a reality in most Western countries. Protagonists claim that the collection of massive amounts of data on the communication behavior of all individuals within a country would enable law enforcement agencies to exploit patterns in the stored data to uncover connections between suspects.
While this is obviously true for investigations after an incident happened, there is up to now no critical and sound assessment publicly available that evaluates whether TDR brings any pro-active benefits for the above mentioned, justified purposes.
In this talk we give for the first time a critical assessment of the power of TDR based on methods from information theory. To this end we have employed agent based simulations, which mimic the communication behavior of a large community including a dark-net of alleged suspects. The structure and statistics of our telecommunication simulation, which drive the dynamics of telephone calls and simulated TDR data, were generated according to known statistics of real-world telecommunications networks.
Hiding in the unavoidable noise seems to be a passive strategy for terrorists to circumvent pro-active detection. This stems from a "needle in the haystack"-problem, that arises due to the small number of conspirators compared to the number of other participants.
In particular situations and with adopted strategies suspected terrorists might be able to eventually exploit TDR for their purposes and take an active approach to hiding in the crowd. Such TDR exploits would lower the probability of detection by law enforcement agencies and render TDR a potential security threat. Again, we use our simulations and our analysis procedure to assess this problem.
For more information visit:http://bit.ly/27c3_information
To download the video visit: http://bit.ly/27c3_videos
Today in Parliament I spoke on the The Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014 .I am confident that this bill returns ...
Today in Parliament I spoke on the The Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014 .I am confident that this bill returns to law enforcement agencies some of the tools they need to continue to protect the safety and wellbeing of all Australians.
Today in Parliament I spoke on the The Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014 .I am confident that this bill returns to law enforcement agencies some of the tools they need to continue to protect the safety and wellbeing of all Australians.
Discover how Tableau helps telco providers solve their biggest pain points - customer experience, innovative propositions and products, cost efficiency, and cus...
Discover how Tableau helps telco providers solve their biggest pain points - customer experience, innovative propositions and products, cost efficiency, and customer targeting.
Learn more about telco analytics with Tableau - https://www.tableau.com/solutions/telco-analytics/knowledge-hub
Visit https://www.tableau.com to learn more!
Discover how Tableau helps telco providers solve their biggest pain points - customer experience, innovative propositions and products, cost efficiency, and customer targeting.
Learn more about telco analytics with Tableau - https://www.tableau.com/solutions/telco-analytics/knowledge-hub
Visit https://www.tableau.com to learn more!
What is the government's new data retention policy? Well... they don't seem entirely sure. But luckily Andy Park is here to give us the lowdown.
Facebook: http...
What is the government's new data retention policy? Well... they don't seem entirely sure. But luckily Andy Park is here to give us the lowdown.
Facebook: https://www.facebook.com/SBS2Australia
Twitter: https://twitter.com/sbs2
Tumblr: http://sbs2australia.tumblr.com/
What is the government's new data retention policy? Well... they don't seem entirely sure. But luckily Andy Park is here to give us the lowdown.
Facebook: https://www.facebook.com/SBS2Australia
Twitter: https://twitter.com/sbs2
Tumblr: http://sbs2australia.tumblr.com/
This is Telecom Customer Retention Analysis.
In which you see the following things.
•Customers who left within the last month.
• Services each customer has sig...
This is Telecom Customer Retention Analysis.
In which you see the following things.
•Customers who left within the last month.
• Services each customer has signed up for: phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies.
• Customer account information: how long as a customer, contract, payment method, paperless billing, monthly charges, total charges, and a number of tickets opened in the categories administrative and technical.
• Demographic info about customers – gender, age range, and if they have partners and dependents.
Here is the link to download this file
https://www.eloquens.com/tool/9GvESgXv/startups/cohort-analysis-excel-models-and-templates/telecom-customer-retention-analysis
This is Telecom Customer Retention Analysis.
In which you see the following things.
•Customers who left within the last month.
• Services each customer has signed up for: phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies.
• Customer account information: how long as a customer, contract, payment method, paperless billing, monthly charges, total charges, and a number of tickets opened in the categories administrative and technical.
• Demographic info about customers – gender, age range, and if they have partners and dependents.
Here is the link to download this file
https://www.eloquens.com/tool/9GvESgXv/startups/cohort-analysis-excel-models-and-templates/telecom-customer-retention-analysis
Learn about a platform to help direct, manage and monitor AI activities → https://ibm.biz/BdPu9s
Data Governance and Privacy → https://ibm.biz/Data_Governance_...
Learn about a platform to help direct, manage and monitor AI activities → https://ibm.biz/BdPu9s
Data Governance and Privacy → https://ibm.biz/Data_Governance_and_Privacy
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides, automate the enforcement of data protection policies, and activate metadata to build data products faster for more intelligent decisions. Scott Buckles quickly explains this topic in 5 minutes.
Create Data Fabric instead of Data Silos: https://ibm.biz/Governance_and_Data_Fabric
Download a free AI ebook: https://ibm.biz/Governance_Free_AI_Ebook
Get started for free on IBM Cloud: https://ibm.biz/Governance_Free_Cloud_Account
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now
#AI #Software #ITModernization #DataGovernance #lightboard #IBM #watsonx
Learn about a platform to help direct, manage and monitor AI activities → https://ibm.biz/BdPu9s
Data Governance and Privacy → https://ibm.biz/Data_Governance_and_Privacy
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides, automate the enforcement of data protection policies, and activate metadata to build data products faster for more intelligent decisions. Scott Buckles quickly explains this topic in 5 minutes.
Create Data Fabric instead of Data Silos: https://ibm.biz/Governance_and_Data_Fabric
Download a free AI ebook: https://ibm.biz/Governance_Free_AI_Ebook
Get started for free on IBM Cloud: https://ibm.biz/Governance_Free_Cloud_Account
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now
#AI #Software #ITModernization #DataGovernance #lightboard #IBM #watsonx
30 Oct 2014: The Bill contains a package of reforms to prevent the further degradation of the investigative capabilities of Australia’s law enforcement and national security agencies. The Bill will require companies providing telecommunications services in Australia - carriers and internet service providers - to keep a limited, prescribed set of telecommunications data for two years. #commsau
Speakers: Kay Hamacher, Stefan Katzenbeisser
Telecommunications data retention (TDR) has become a reality in most Western countries. Protagonists claim that the collection of massive amounts of data on the communication behavior of all individuals within a country would enable law enforcement agencies to exploit patterns in the stored data to uncover connections between suspects.
While this is obviously true for investigations after an incident happened, there is up to now no critical and sound assessment publicly available that evaluates whether TDR brings any pro-active benefits for the above mentioned, justified purposes.
In this talk we give for the first time a critical assessment of the power of TDR based on methods from information theory. To this end we have employed agent based simulations, which mimic the communication behavior of a large community including a dark-net of alleged suspects. The structure and statistics of our telecommunication simulation, which drive the dynamics of telephone calls and simulated TDR data, were generated according to known statistics of real-world telecommunications networks.
Hiding in the unavoidable noise seems to be a passive strategy for terrorists to circumvent pro-active detection. This stems from a "needle in the haystack"-problem, that arises due to the small number of conspirators compared to the number of other participants.
In particular situations and with adopted strategies suspected terrorists might be able to eventually exploit TDR for their purposes and take an active approach to hiding in the crowd. Such TDR exploits would lower the probability of detection by law enforcement agencies and render TDR a potential security threat. Again, we use our simulations and our analysis procedure to assess this problem.
For more information visit:http://bit.ly/27c3_information
To download the video visit: http://bit.ly/27c3_videos
Today in Parliament I spoke on the The Telecommunications (Interception and Access) Amendment (Data Retention) Bill 2014 .I am confident that this bill returns to law enforcement agencies some of the tools they need to continue to protect the safety and wellbeing of all Australians.
Discover how Tableau helps telco providers solve their biggest pain points - customer experience, innovative propositions and products, cost efficiency, and customer targeting.
Learn more about telco analytics with Tableau - https://www.tableau.com/solutions/telco-analytics/knowledge-hub
Visit https://www.tableau.com to learn more!
What is the government's new data retention policy? Well... they don't seem entirely sure. But luckily Andy Park is here to give us the lowdown.
Facebook: https://www.facebook.com/SBS2Australia
Twitter: https://twitter.com/sbs2
Tumblr: http://sbs2australia.tumblr.com/
This is Telecom Customer Retention Analysis.
In which you see the following things.
•Customers who left within the last month.
• Services each customer has signed up for: phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies.
• Customer account information: how long as a customer, contract, payment method, paperless billing, monthly charges, total charges, and a number of tickets opened in the categories administrative and technical.
• Demographic info about customers – gender, age range, and if they have partners and dependents.
Here is the link to download this file
https://www.eloquens.com/tool/9GvESgXv/startups/cohort-analysis-excel-models-and-templates/telecom-customer-retention-analysis
Learn about a platform to help direct, manage and monitor AI activities → https://ibm.biz/BdPu9s
Data Governance and Privacy → https://ibm.biz/Data_Governance_and_Privacy
Building data fabric eliminates the technological complexities of data governance so users can connect to the right data at the right time, regardless of where it resides, automate the enforcement of data protection policies, and activate metadata to build data products faster for more intelligent decisions. Scott Buckles quickly explains this topic in 5 minutes.
Create Data Fabric instead of Data Silos: https://ibm.biz/Governance_and_Data_Fabric
Download a free AI ebook: https://ibm.biz/Governance_Free_AI_Ebook
Get started for free on IBM Cloud: https://ibm.biz/Governance_Free_Cloud_Account
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now
#AI #Software #ITModernization #DataGovernance #lightboard #IBM #watsonx
The different data retention policies weigh legal and privacy concerns against economics and need-to-know concerns to determine the retention time, archival rules, data formats, and the permissible means of storage, access, and encryption.
Data retention policy
A data retention policy is a recognized and proven protocol within an organization for retaining information for operational use while ensuring adherence to the laws and regulations concerning them. The objectives of a data retention policy are to keep important information for future use or reference, to organize information so it can be searched and accessed at a later date and to dispose of information that is no longer needed.
The data retention policies within an organization are a set of guidelines that describes which data will be archived, how long it will be kept and other factors concerning the retention of the data.
However, at the graduation level, retention of these enrolments is crucial, and this data can help the state govt prepare a blueprint for the enrolment of girls in higher education.'Curtailing ...
The rules also mandate specific data retention periods and require companies to notify users 48 hours before data deletion ... The rules also propose that the Centre can define the kind of data that such SDFs will have to localise within India’s borders.
His personal data is still being improperly held ... “The retention of [his] personal data for the purpose of keeping this record also breaches the police’s general common law power to obtain and store information for policing purposes.”.
The shift from aggregated school-level data to individual ...Study This approach marks a departure from the earlier school-level aggregated data, enhancing the monitoring of progression and retention.
The ministry's statement reinforces its commitment to data protection, emphasizing that the platform's 'd-KYC' (Don't Know Your Customer) approach prevents data retention and sharing with third parties.
These involve lead generation issues, conversion difficulties, sales cycle delays, and customer retention hurdles. One way to do this is by implementing systematic approaches such as data-driven lead generation and scoring.
Such organizational resources were the least-mentioned forms of support our survey participants currently use, but improving school and system culture could have the greatest impact on employee attraction and retention.
An exodus of veteran agents over the past 10 years forced the agency to rely even more on less experienced agents, a Post analysis of internal workforce data revealed ... But the initiative was not enough to reverse the trend, data shows.
2024 has seen a significant surge in demand for tech, data, and analysis professionals ...Data Specialists. Predominantly found in banking and financial services, data specialists possess scarce skills making them highly sought-after.
Game studios are tailoring content to fit the continent’s realities, focusing on hyper-casual games designed for quick, repeat play on older devices and in low-data environments.
The study compared institutions with metrics that included scholarships, starting salary, tuition, living costs and retention rate ... The study analyzed National Highway Traffic Safety Administration data on fatal crashes between 2018 and 2022.
The data show ... “Figures also show very poor staff retention, with data appearing to show correlation with Covid as an inflection point for decline of both sector workers’ health and morale,” he said.
Ranchi. Comprehensive evaluation of 80 CM Schools of Excellence and 193 others schools throughout the state concluded on Tuesday ... The shishu panji programme involves data collection regarding school enrolment and student retention.