Big Data essentially answers the first three
Posted: Sun Jan 19, 2025 6:48 am
However, the mass of information is such that, although Big Data makes it possible to identify the main trends that favour predictions and speculation, the processing time required sometimes leads to a certain obsolescence.
This is where Smart Data comes into play, as it consists of analyzing data in real time, eliminating the need for data collection and centralization at the source.
We could say that it is a " streaming " analysis of Big Data data, but also of the mass of data lebanon whatsapp shopping data generated by the company itself.
About the 5 V's, which are often talked about in analytics:
Volume,
Variety,
Speed,
Worth,
Veracity.
We could say that:
Smart Data was born to respond particularly to the last two.
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Smart Data: Application Examples
Some sectors are more fond of Smart Data than others. This is the case of predictive maintenance , which allows breakdowns to be anticipated, thanks to sensors installed in machines or antennas.
One application of Smart Data is, for example, the autonomous car. This is applicable to sensors, so that they capture all the information (GPS, traffic, signaling) through processors, instantly.
But this is not the only application that Smart Data can have. Service companies are also increasingly dependent on the amount of smart data they process.
Qualified data provides valuable insights in areas such as:
marketing,
human resources ,
customer management,
segmentation and identification of target audiences,
improving customer journey indices and customer loyalty.
The usefulness of Smart Data in the company
For large structures, Smart Data saves time and enables decisions to be made as quickly as possible .
Managers are no longer drowning in an ocean of information, but instead focus on relevant and actionable data to support their strategic planning, because:
This is where Smart Data comes into play, as it consists of analyzing data in real time, eliminating the need for data collection and centralization at the source.
We could say that it is a " streaming " analysis of Big Data data, but also of the mass of data lebanon whatsapp shopping data generated by the company itself.
About the 5 V's, which are often talked about in analytics:
Volume,
Variety,
Speed,
Worth,
Veracity.
We could say that:
Smart Data was born to respond particularly to the last two.
tile banner
big-data-smart-data
Smart Data: Application Examples
Some sectors are more fond of Smart Data than others. This is the case of predictive maintenance , which allows breakdowns to be anticipated, thanks to sensors installed in machines or antennas.
One application of Smart Data is, for example, the autonomous car. This is applicable to sensors, so that they capture all the information (GPS, traffic, signaling) through processors, instantly.
But this is not the only application that Smart Data can have. Service companies are also increasingly dependent on the amount of smart data they process.
Qualified data provides valuable insights in areas such as:
marketing,
human resources ,
customer management,
segmentation and identification of target audiences,
improving customer journey indices and customer loyalty.
The usefulness of Smart Data in the company
For large structures, Smart Data saves time and enables decisions to be made as quickly as possible .
Managers are no longer drowning in an ocean of information, but instead focus on relevant and actionable data to support their strategic planning, because: