It is estimated that just over 500 million tweets are generated daily.
According to the above, it is estimated that just over 284 billion emails are sent daily.
Data analysis is essential for the optimal development of effective marketing strategies.
At present, the effective collection of data has become more than a simple necessity, since it is thanks to this that the scope of the strategies used can be measured more consciously and, therefore, the impact that it can have both in consumers as in profits or losses, therefore, collecting data without losing quality in the process has become a primary issue.
According to what was pointed out by infotechnicianin one day it is estimated that they generate just over 500 million tweets, in addition to just over 284 billion emails, which contribute to the nearly 4 terabytes of data generated by each of the smart cars.
In the same way, a study generated by Statista indicates that the generation of information will reach a volume of just over 181 zettabytes, by 2025, which is equivalent to just over 181 billion hard drives of one terabyte, figures that reveal the growing importance of effective analytics and data collection.
Collect data without losing quality in the process
It is due to the large amount of information that it is increasingly necessary to have tools that allow effective analysis of the information generated, as pointed out by María García Limón, Head of MKT & Communications in Net quest.
“On the other hand, regardless of the field of study or preference, whether they are quantitative or qualitative, precision in a study is essential to maintain the integrity of an investigation, since the consequences of collecting data incorrectly include” says María García Lemon
- Inability to answer research questions.
- Distorted findings resulting in wasted resources.
- Waste of time for other investigators causing them to pursue unsuccessful avenues of investigation.
- Compromised decisions that have consequences in markets, companies and people
“Given this scenario, it will be key to choose a data provider that complies with this regulation and builds its value proposition around excellence, in addition to using tools, technology and processes designed to deliver useful and quality data,” adds María García.
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