11 Great Articles About Datafication
What is Datafication?
The process of datafication involves turning different actions, attitudes, and interactions into digital data for analysis, perception, and decision-making.
DEEP EXPLANATION OF DATAFICATION
The phrase "datafication" refers to how nearly everything in our everyday lives may be converted into data. It entails turning information obtained from a variety of activities, such as using a smartphone, purchasing online, or even going on a walk while wearing a fitness tracker, into digital data.
Consider that your phone has a fitness app that records your daily steps, heart rate, and calories burnt. The software logs and retains the data associated with each step you take. It compiles a ton of information over time about your movement patterns, generating a digital record of your exercise routines.
Datafication is not limited to fitness applications. Consider how websites that you use for online shopping track your purchases, searches, and even the length of time you spend on particular pages. They can use this information to make product recommendations and better understand your preferences.
Similar to this, social networking sites gather information about your posts, contacts, and hobbies. Using this information, they may customize your feed and provide you with stuff they believe you'll like.
Datafication is another tool used by businesses to enhance their operations. For instance, supermarkets keep track of the goods you purchase using loyalty cards, and this information enables them to provide specialized discounts and improve their inventory.
Datafication includes both data collection and data analysis and interpretation. Here, cutting-edge technology like machine learning and artificial intelligence are essential. They can swiftly analyse enormous volumes of data, uncovering trends and insights that people would overlook.
The advantages of datafication are numerous. It enables us to forecast the future and make wise judgments. For instance, meteorologists use meteorological information gathered from numerous sources to anticipate storms and prepare for extreme weather occurrences.
Datafication in healthcare allows medical personnel to follow patients' health over time, improving diagnosis and treatment strategies.
11 Great Articles About Datafication
1.Forbes article titled "The Rise of Datafication: How Data is Transforming Industries"
2.The publication "Datafication and Its Impact on Society: Opportunities and Challenges" Journal of Business Research
3.The article "Datafication in Healthcare: Leveraging Big Data for Better Patient Outcomes" The Lancet.
4.MIT Technology Review, "Datafication and Privacy Concerns: Balancing Data-driven Insights with Ethical Practices"
5.The book "Datafication in Education: Using Data to Enhance Learning and Teaching" in EdSurge
6.Read "Datafication in Retail: How Big Data is Revolutionizing the Customer Experience" for more information. Shopping Dive
7."Smart Cities and Urban Planning: The Role of Datafication" World of Smart Cities.
8.A study titled "Datafication in Finance: The Impact of Big Data on Financial Services" Financial Times
9.The future of digital marketing will be driven by datafication and personalization. The Adweek
10.The paper "Datafication and Artificial Intelligence: Enabling Smarter Decision-making" -McKinsey & Co.
11.Title: "The Ethical Challenges of Datafication: Ensuring Fairness and Accountability" Data and Society.
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TOP 5 DATAFICATION JOBS CARRIERS IN ALL OVER WORLD
2.Data Scientist: Data scientists use advanced machine learning and artificial intelligence techniques in addition to data analysis to build prediction models and address challenging issues.
3.Data Engineer: To ensure the efficient flow and storage of data for analysis, data engineers design, implement, and maintain data pipelines and databases.
4.Business intelligence (BI) experts seek to turn raw data into insightful dashboards and visualizations so that firms can make wise decisions.
5.Manager of Data Governance and Compliance: These experts are in charge of ensuring that the organization's data governance policies and practices are followed in an ethical and responsible manner.
And you have more options.
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