Proposal-
-Research what/how data, is being collected by companies.
•customer data on metrics, from demographic data to behavioral data
•"Customer data can be collected in three ways – by directly asking customers, by indirectly tracking customers, and by appending other sources of customer data to your own,"
•Companies will also dig deep into their own customer service records to see how customers have interacted with their sales and support departments in the past to see what the consumer liked and disliked on a grand scale.
•In addition to collecting data, companies can also purchase it from or sell it to third-party sources.
-Research what companies are doing to collect our information
•Data is turned into knowledge for those companies. they run the data through an algorithm or ai which sorts out personalized profiles of consumers, observing what their interests and behaviors are.
•Companies use data to:
Improve constumer service
refine/polish their marketing strategy
buy/sell data
secure their data with your data
-Research ways we can protect our data and selves online
•The European Union's General Data Protection Requirements (GDPR) lays out the rules of data capture, storage, usage, and sharing for companies, and stiff penalties for those that fail to comply. Companies that fail to abide by the rules set out within the GDPR face 20 million Euro fines or up to 4 percent of annual revenue, whichever is higher.
-data mining
data mining - the practice of examining large databases in order to generate new information.
•Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs. Data mining depends on effective data collection, warehousing, and computer processing.
•Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. It can be used in a variety of ways, such as database marketing, credit risk management, fraud detection, spam Email filtering, or even to discern the sentiment or opinion of users.
•Warehousing is an important aspect of data mining. Warehousing is when companies centralize their data into one database or program. With a data warehouse, an organization may spin off segments of the data for specific users to analyze and use.
•However, in other cases, analysts may start with the data they want and create a data warehouse based on those specs. Regardless of how businesses and other entities organize their data, they use it to support management's decision-making processes.
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•Research how companies gather data.(names, interests, where you live, where you travel, what you like to shop, etc.)
•Companies selling data to other companies
•Analyze how collected data is used
•research how companies observe data and what type of data they are searching for
•Research what data is being collected/stored/sold.
•How can we protect our data/personal information? (methods on protection online)
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cap-ahuang
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