Datafication, i.e., making your organization data-driven is the first step in creating the organization of the future. You'll realize as you go along that it is much more difficult than being a technical task. Every area of your organization, including business operations, strategic processes, data governance, privacy issues, security, and company culture, is impacted by the datafication process. When you wish to datafy your enterprises, which is not an easy operation, all these factors should be taken into account. In this article, you will understand what is datafication and the ways in which an organization can achieve complete datafication.
Datafication for organizations: As long as you follow standards that protect your employees and consumers, there is almost no limit to the datafication of your processes and environments. Personality datafication via websites and applications, on the other hand, is far more challenging. Increased focus on privacy and security, as well as rules like the GDPR, make maintaining sensitive consumer data increasingly difficult.
Traditionally, datafication of your consumers has been accomplished by gathering and keeping any data connected to customer interactions. This enabled businesses to mix and match numerous consumer data sources to gain a complete 360-degree view of the client.
Let us know the top 10 ways in which organizations can achieve complete datafication:
In conclusion, datafication is a technology movement that converts many parts of our life into computerized data using procedures to change businesses into data-driven ones by creating new kinds of value from this information. The term "datafication" describes how routine interactions between living things can be converted into a data format and applied to society.
Conclusion: When you start datafying your organization, the idea would be to start small, with simple processes that are relatively easy to datafy. Once you have gained experience with datafying your processes, you can focus on more complex processes. The technology required for this is smart sensors and IoT devices that will be used to streamline and improve existing business processes. The datafication of your organization is the first phase of transforming into a data organization.