There are sources that divide it into 7 phases and others into 5. In this case, we have opted for the latter because we believe that it better expresses the process. In this sense, the data life cycle is made up of: capture phase save phase use phase archiving phase erasure phase Below we explain. Them in depth so that you can know what each one consists of. Capture In the first phase of the data life cycle, the creation of the raw data occurs . A raw data is that which is obtained. Through different techniques, methods and data collection. tools that are used in data science. This, in turn, can be expressed in many ways, in JPG, PDF, Word, etc. In total, a company can capture or generate data in three different ways: By Creation. Data is captured by devices in different business processes.
more reliable data
To put an even greater Belarus Email List filter of protection on it, it is advisable to implement a recovery process. This phase is one of the most delicate in the data life cycle, because depending on what type of raw data. Therefore, we have, its requirements and its architecture , it will have to be stored in one way or another. In this sense, depending. on whether the data is structured or unstructured, it will be stored in two possible ways: Structured . These data are usually stored in so-called relational databases. These allow you to organize the data in tables, making it much more accessible and identifiable. Unstructured – This data has no identifiable architecture or structure, so it does not adhere to an already defined data model.
Better business decisions
Utilization It is in this phase of the Mailing Lead cycle that, finally, they begin to take advantage of them. Data is a fundamental element in any company’s decision-making process , whether it is a sales. Therefore, decision, a marketing decision or an internal decision. In this sense, it is recommended that the different interested teams have access to them so that they can participate in decision-making with solid arguments and also so that they know what the meaning of their work is. In the same way, customers, suppliers or collaborators must also be able to access data that may be of interest to them.