Post by nadinenadine on Mar 7, 2024 0:49:35 GMT -8
To understand what exactly Small Data is, it is essential to compare it with Big Data . These represent an important, not to say "exaggerated", amount of information. They can be collected either according to a predefined order and criteria through an ad hoc company database, or they can be found without any pattern, coming from sources with various origins and cataloged in an unstructured way. If, therefore, Small Data refers to indications of an individual nature , inherent to people and their private sphere, having as their focus the actions of individuals, Big Data acts in an opposite and complementary manner at the same time. The metrics provided by Big Data have exponential volume, velocity, generality, and variety . They require to be managed through innovative technologies that allow the acquisition of data-driven forecasts and decisions , i.e. based on data.
They are therefore more difficult to find than Small Data, for which a collection strategy known as "Subtext Research" is feasible , i.e. the search for messages of an implicit nature: they can be acquired online and via social networks. Big Data, being generic, leads us to see people as potential customers, without providing a measure of why they carry out certain actions but only the results of the same. Which does Loan Phone Number List not happen with Small Data, which highlights desires, emotions and needs, even focusing on a highly topical issue such as cognitive biases. Small Data and Big Data: does it make sense to use them together? As we mentioned at the beginning, quantity is not always necessarily effective , due to the fact that it does not in itself lead to knowledge of the phenomenon.
However, when you are clear about the questions to ask, you may acquire a reduced amount of information, but it is more targeted, exhaustive and precise in relation to a target of people formulated in detail as you wish. In this way you have the opportunity to find answers to companies' questions through an accurate analysis of the human component : exactly what Small Data allows you to do. At this point it is natural to ask a question: can Small Data and Big Data be used together? The answer is yes and, at the same time, it is often the optimal solution: the one most recommended by marketing experts. The reason lies in the fact that they are like two sides of the same phenomenon and in the fact that they allow, when combined, to acquire a 360° impact on the business.
They are therefore more difficult to find than Small Data, for which a collection strategy known as "Subtext Research" is feasible , i.e. the search for messages of an implicit nature: they can be acquired online and via social networks. Big Data, being generic, leads us to see people as potential customers, without providing a measure of why they carry out certain actions but only the results of the same. Which does Loan Phone Number List not happen with Small Data, which highlights desires, emotions and needs, even focusing on a highly topical issue such as cognitive biases. Small Data and Big Data: does it make sense to use them together? As we mentioned at the beginning, quantity is not always necessarily effective , due to the fact that it does not in itself lead to knowledge of the phenomenon.
However, when you are clear about the questions to ask, you may acquire a reduced amount of information, but it is more targeted, exhaustive and precise in relation to a target of people formulated in detail as you wish. In this way you have the opportunity to find answers to companies' questions through an accurate analysis of the human component : exactly what Small Data allows you to do. At this point it is natural to ask a question: can Small Data and Big Data be used together? The answer is yes and, at the same time, it is often the optimal solution: the one most recommended by marketing experts. The reason lies in the fact that they are like two sides of the same phenomenon and in the fact that they allow, when combined, to acquire a 360° impact on the business.