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Definition and the use of an algorithm
The algorithm refers to a procedural formula for solving scientific problems. In many instances, the problems are based on conducting a sequence of specified actions. For instance, a computer program is an illustrative logarithm. In computer science and mathematics, the term algorithm is used to describe a small procedure for solving recurrent problems. They are variedly used throughout the IT context and in the search engine areas. The encryption algorithm can transform data based on specific actions (Moran par. 2). The military uses secret algorithms in the encryption and decryption of data. The algorithm is used for security because it enhances advanced security. Besides, a person without the access key cannot perform the data decryption.
The use of the algorithm to marketers or consumers today
The algorithm is useful in the automation of marketing strategy. Automation in the marketing context has become the most important aspect that improves both marketing strategy and customer services (Roetzer par. 2). The algorithm has been playing an important role in automated marketing. The automation of marketing strategy enhances the maximization of the benefits with its marketing campaigns. Also, it personalizes the experiences of its customers with its products and services. Computer-based algorithms have the speed and insight needed by marketers and customers to interact at the right time (Villasenor par. 5). In this context, the set of instructional information coded by people is executed by computers that are fast and efficient.
The use of algorithms can provide control for a computerized system in a manner that helps to manipulate the marketing information. The system can work with little oversight from the humans. The execution of complex algorithms varies because of certain factors apart from the size of the input data (Moran par. 4). For instance, a sorting algorithm tends to run faster when operating a set of integers that have been sorted than when operating the random set of integers.
Data brokers
One of the popular data brokers is the Aboutthedata.com, which provides relevant data necessary for the daily operation of companies. They provide companies with the data that personalize and share their experiences with the customers, thus expanding their market shares. Through the current advanced technology, the Aboutthedata.com offers business organizations with the relevant data that would help them realize practical benefits. The company offers “about us” data to other companies and this often helps those organizations to create their privacy policy and marketing strategies. The main components of the data include the company’s address, what they offer, phone number, email, and the number of years they have been operating in the industry (Bachman par. 3). The analytical processes undertaken by the Aboutthedata.com create modeled insights used in the key data to infer information about the companies. These pieces of information are used in directing potential clients into buying products from the company.
The company’s practices
The practice of a data broker company infringes on the rights of privacy and security to personal information. Therefore, the practice of data broking such as those of the Aboutthedata.com is problematic. The company collects, analyzes, and package some of the most sensitive data with personal information and sells it to other companies as a commodity. Their clients include advertisers and government agencies among other organizations that might misuse the information in the wrong way. The information is processed for sale without the knowledge of the original owner (Moran par. 2). The content remains the same and what changes are the volume and nature of the information being mined. The practices of the data broking companies violate human rights, especially because they operate without virtual oversight by the relevant authority.
Works Cited
Bachman, Katy. Confessions of a Data Broker: Acxiom’s CEO Scott Howe Explains How Self-Regulation Can Work. Web.
Moran, Nora. MKT 350 Consumer Information in the Digital Age. Web.
Roetzer, Paul. Marketing Automation is Only the Beginning: How Algorithms and Artificial Intelligence Will Disrupt Marketing Forever. Web.
Villasenor, John. In Defense of Algorithms: They Get a Bad Rap But That’s Because People Don’t Understand Them. Web.
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