How to activate data potential?
Posted: Wed Dec 18, 2024 6:46 am
Transforming raw data into intelligent data requires an essential ingredient: expertise that combines both data understanding and sector knowledge. Experts are thus able to transform data into a customer problem . Furthermore, they are able to strengthen recommendations based on behavioral sciences. They can also use exclusive methods based on behavioral sciences that allow us to understand how humans make decisions and that are based on the activation of principles that allow us to evolve our choice architecture (for example, using social norm bias to reduce the electricity bill: knowing the average consumption of the neighbor will influence behavior).
In all cases, activating the data potential and proposing whatsapp number list new angles of analysis requires following a three-step process: the first "learning from the past" allows us to centralize databases and focus on data that has value; the second "acting in the present" provides useful and relevant information necessary to initiate actions that will have concrete and measurable impacts; Finally, the third "anticipate the future" integrates new technologies such as AI to establish predictive scenarios that can particularly benefit logistics services by anticipating stocks. The organization becomes proactive and agile.
It can model the action plan according to events thanks to the real-time view of the data, helped by the expert who will also support it in its change management by using data as proof . Smart data is inseparable from the human dimension because it needs people capable of analyzing it just as it needs people capable of mastering the technological base itself, which is now essential for the development of algorithms and successfully sorting through this continuous flow of data. The HR factor plays a role in the speed at which this data science develops and therefore requires special attention, especially in this uncertain and contrasting period which is generating a shortage of talent.
In all cases, activating the data potential and proposing whatsapp number list new angles of analysis requires following a three-step process: the first "learning from the past" allows us to centralize databases and focus on data that has value; the second "acting in the present" provides useful and relevant information necessary to initiate actions that will have concrete and measurable impacts; Finally, the third "anticipate the future" integrates new technologies such as AI to establish predictive scenarios that can particularly benefit logistics services by anticipating stocks. The organization becomes proactive and agile.
It can model the action plan according to events thanks to the real-time view of the data, helped by the expert who will also support it in its change management by using data as proof . Smart data is inseparable from the human dimension because it needs people capable of analyzing it just as it needs people capable of mastering the technological base itself, which is now essential for the development of algorithms and successfully sorting through this continuous flow of data. The HR factor plays a role in the speed at which this data science develops and therefore requires special attention, especially in this uncertain and contrasting period which is generating a shortage of talent.