Data Sources and Risks.

Today we talk about the data and some of its risks about it.

What are the Data Sources and Risks?
Familiar sources of data?
- Web events
- Logistics data
- Financial transactions.

Web data Like:
- Events
- Timestamps
- User Information.

Data pseudonymization is an example of pseudonymization. Encoded data cannot be connected to a specific individual without a code key. For the holder of the code key, however, decoding the records and identifying each data subject remains a simple task.

Data anonymization: a data processing technique that removes or modifies personally identifiable information; it results in anonymized data that cannot be associated with any one individual.

General Data Protection Regulation(GDPR):
establishes the general obligations of data controllers and of those processing personal data on their behalf (processors). These include the obligation to implement appropriate security measures, according to the risk involved in the data processing operations they perform.

- Applies to all data inside the EU
- Give individuals control over their personal data
- Regulates how long data can be stored
- Mandates appropriate anonymization
- Disclose data collection and gain consent

What is the Solicited data? is received as the result of a specific request for information or as the result of an action that you have taken. Certain SNA control units keep counters of different types of communication errors they detect and transmit the counters to the host only as solicited data.

Why do we solicit data?
- Create marketing collateral
- De-risk decision making
- Monitor quality
Types of solicited data?
- Surveys
- Customer reviews
- In-app questionnaireres
- Focus groups
Qualitative:
- Conversations
- Open-ended questions
Quantitative:
- Multiple choice
- Rating scale

Revealed and stated preferences
stated preference:
- Hypothetical
- Subjective
Revealed preference
- Actions
- Purchasing decisions