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Privacy

As explained in Effective Data Analysis

Privacy is the ability of people to control access to information about themselves and how that information is collected or used.

Privacy is people’s ability to control access to information about themselves and how that information is collected or used. In analytics, it requires protecting agency, dignity, confidentiality, and rights because even simple reports or graphs can affect lives. section 8.0 section 8.1.1

Practical privacy work combines several responsibilities:

  • Mask personally identifiable information such as location and IP address in analytical storage. section 8.1.1
  • Obtain informed consent before research, explain questions, risks, benefits, timing, and opt-out options, and honor stated commitments. section 8.1.2
  • Investigate demographic or geographic differences in outcomes before decisions systematically exclude people from opportunities. section 8.1.1
  • Recognize that legal protections and regulation vary by setting and continue to change across jurisdictions. section 8.2

Marketing research on artificial intelligence

A marketing analytics team studying people’s hopes, fears, and concerns about artificial intelligence uses consent materials that describe sensitive questions, possible stress, expected benefits, and participation requirements. section 8.1.2

Figure 8.2 An informed consent document for a survey conducted by a product analytics team
figure

Use the informed consent document as a concrete checklist for communicating research expectations, risks, benefits, timing, and voluntary participation. section 8.1.2

How Effective Data Analysis covers it

How deep it goes
Explains masking, consent, ethical review, and regulatory variation, but stops short of specifying technical anonymization procedures or complete legal requirements.
Examples
Uses masked location and IP data, loan analyses by demographic group, and an informed consent document for an artificial-intelligence survey.
What it assumes
Assumes basic participation in analytics or research while teaching privacy, consent, and ethical responsibility as practical obligations.
What you can do after
Apply via informed consent, personally identifiable information masking, cautious interpretation, and responsible handling of sensitive information.
How it connects
Connects privacy with informed consent, personally identifiable information, confidentiality, sensitive data, ethics, and data regulation.

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This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.