The data factory or creating “smart data” to serve the customer experience

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seobd65
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Joined: Wed Dec 18, 2024 3:23 am

The data factory or creating “smart data” to serve the customer experience

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However, they are now such a breeding ground - forecasts published by the Statista Research department in March 2022 reveal that the volume of data generated worldwide is expected to exceed 180 zettabytes by 2025, representing an average annual growth of nearly 40% over five years - that it is essential to "work" them to extract the substantial marrow, make them accessible and reveal their potential. They can thus truly support the operational and strategic decisions of managers concerning the improvement of the customer experience.

From raw data to valuable data

The challenge lies in the ability to reveal the relevant data. To achieve this, it is first necessary to offer a real-time adjustment capacity because the data can quickly become obsolete. Thus, the actions carried out will be based on the latest data collected. It is then the meeting of three dimensions of data which, through the ability to aggregate them, will lead to whatsapp number list the creation of new valuable data: the first dimension being that of customer data (from CRM), the second that of collected data such as survey data and finally, that of so-called passive data because not explicitly requested (open data, social networks for example). This raw data constitutes the essential material for building a pyramid leading to smart data or valuable insight. More precisely, this will be born from the meeting of useful data and the understanding of the need. In other words, from the alliance between data and human intelligence.

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Because it is on the lighting and knowledge of the issues that the experts will have that the data will bring a different perspective and offer new angles of analysis and action. In the field of customer knowledge, this will be translated by the notion of "augmented segmentation", a technology that will fill, from pivot variables (signaling, socio-demographic, attitudes and behaviors) and a universe of reference data, a form of ignorance of the end customers. The important thing will therefore be to understand this customer and to identify the large families by going if possible even further in the definition of typical customers via for example the search for "twins" on social networks. Finding similar targets and being able to determine additional characteristics by analyzing behaviors in real life also allows to broaden the target and succeed in better reaching or even questioning customers. In short, it is about using communication channels to go even
further in understanding behaviors.
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