What is Datafication?
Category: Idea | Posted date: 2022-07-28 23:00:26 | Posted by: Admin
What Exactly Is Datafication?
Datafication is the process of converting an organization into a data-driven enterprise using a variety of tools, technologies, and techniques. This catchphrase refers to an organizational trend in which a reliance on data and its supporting infrastructure on a global scale defines the key to core business operations.
Datafy is another word for datafication. Datafication is the application of data to an organization.
Organizations need data to carry out crucial business processes, and they also extract knowledge and information from that data. Data is used by an organization for decision-making, strategies, and other important goals. Datafication implies that an organization's survival in today's data-oriented environment depends on complete control over the storage, extraction, manipulation, and extraction of data and related information.
Examples
There could be a lot of datification examples here.
Let's take social media platforms like Facebook or Instagram as an example. These platforms gather and monitor data about our friendships to market goods and services to us and provide surveillance services to organizations, which in turn alters our behavior. We also see daily promotions on these platforms as a result of the monitored data. By using datafication to inform content rather than recommendation systems, this model uses data to redefine how content is created.
Other industries, though, do actively use the datafication process.
Insurance: Data used in insurance to update business models and risk profiles.
Banking: Information used to determine a person's creditworthiness and likelihood of repaying a loan.
Recruitment and hiring: Data is used in place of personality tests.
Social science research: Datafication reorganizes the way social science research is carried out and replaces sampling techniques.
Netflix case
One excellent example of the datafication process is Netflix, a provider of online streaming media. It has 33 million streaming subscribers and offers services in more than 40 countries. Operations used to be more physically intensive, and its primary business was mail-order disc rental (DVD and Blu-ray). The subscriber created and maintained the queue (an ordered list) of media content that they wanted to rent, to put it simply (for example, a movie). The content can be kept for as long as the subscriber wants if the total number of disks is limited. To rent a new disk, the subscriber must return the old one to Netflix, who will then add the next available disk to the subscriber's queue after receiving the old one back.
It is clear that as Netflix's business model becomes more efficient, a gradual shift is taking place in which the IT infrastructure and artifacts completely free media content from its physical manifestation, such as a disk and its mail delivery. Subscribers can watch multiple videos at once, choose which ones to watch before making a reservation, and view viewing statistics much more precisely and in real time while streaming. As a result, the streaming model dematerializes a lot more data. Additionally, the variety of data sources has increased steadily, including catalog information (more than 1000 facets are currently connected to a single title), search terms, streaming queues and games, interactions, and external sources like movie reviews and social media data.
The potential for interaction between the provider and the subscriber through dynamic personalization—by household, genre, etc.—has increased as time and distance have been eliminated from the business model. Providing context for the content to encourage trust, ranking, ranking, and reviews as well as social influence from associated friends who watched or evaluated.
How does Datafication work?
A current technological trend called "datafication" aims to convert the majority of a company's operations into quantifiable data that can be tracked, monitored, and analyzed. It refers to the application of methods and tools to transform a company into a data-driven enterprise.
Datafication: Why Is It Important?
Only by using datafication can organizations keep up with the most recent technological developments. Businesses in all sectors can use datafy to enhance many of their crucial procedures. The moment these processes are quantifiable, optimization is immediately possible.
Conclusion
New conceptual frameworks must be developed as datafication becomes more pervasive and its effects on people's lives become more pervasive. Additionally, datafication necessitates a thorough reevaluation of several operational aspects of an industry. In this section, I've briefly covered a few topics, such as frameworks for understanding how data value chains are emerging alongside traditional supply and value chains and a number of governance concerns that businesses must consider in order to successfully implement datafication.
