'Data Selfie' Shows the What Companies Can Learn Based on Data
References: dataselfie.it & fastcodesign
Today, most savvy internet users are aware of the fact that companies are analyzing their online behavior to get a better understanding of how to market to them, but 'Data Selfie' is a Google Chrome extension designed show people the true extent of that monitoring. The extension tracks users' actions online in the same way that other internet companies (such as Facebook, Twitter, and virtually ever other online site) do, but then it lets users look at the results that it gleans.
Data Selfie is powered by personality insights from the IBM Watson supercomputer and analytics from the machine learning algorithm 'Apply Magic Sauce.' Once installed on one's browser, it will log information and process it. Over time, this info should contribute to an accurate picture of one's online behavior.
Data Selfie is powered by personality insights from the IBM Watson supercomputer and analytics from the machine learning algorithm 'Apply Magic Sauce.' Once installed on one's browser, it will log information and process it. Over time, this info should contribute to an accurate picture of one's online behavior.
Trend Themes
1. Data Privacy Protection - The rise of data-analyzing browser extensions has created a trend towards data privacy protection, with opportunities for disruptive innovations in cybersecurity and encryption technologies.
2. Personalized Marketing - The use of data-analyzing browser extensions to track users' actions online presents a trend towards personalized marketing, with opportunities for disruptive innovations in targeting and advertising technologies.
3. Data Ethics - The development of data-analyzing browser extensions has given rise to a trend towards data ethics, with opportunities for disruptive innovations in ethical and responsible data practices.
Industry Implications
1. Technology - The technology sector is at the forefront of the development of data-analyzing browser extensions, with opportunities for disruptive innovations in cybersecurity, algorithm design, and AI.
2. Marketing - The use of data-analyzing browser extensions for personalized marketing presents opportunities for disruptive innovations in data-driven marketing strategies, advertising technologies, and customer segmentation.
3. Data Analytics and Consulting - As more companies seek to collect and analyze data on their customers, the data analytics and consulting industry presents opportunities for disruptive innovations in data privacy protection, machine learning and AI, and ethical data practices.
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