07 Feb


   5 Minutes

Smart Data focuses on the quality and efficiency data has for companies

In 2025, 75% of the world’s population is estimated to have an interaction that will generate data every 18 seconds

Companies collect a great volume of information that increases day by day. In fact, it is estimated that the volume of data generated worldwide will exceed 180 zetabytes in 2025 and, according to Seagate, that same year 75% of the world’s population will have an interaction that will generate data every 18 seconds, so the volume of information will force businesses to increase their speed of data ingestion and analysis. 

Thus, over the next few years Big Data will continue to be one of the key pieces for the development and success of many companies, since the collection of information will help many businesses to improve in aspects such as sales, strategies or labor relations. Nevertheless, the high volume of information will also force companies to use Smart Data tools that allow them to develop an intelligent use of the obtained data. Not all data provides the same value to companies, and in this scenario, the quality of the information will prevail over the amount of stored data.

Now, what is Smart Data? It is designed to be understandable and helpful right from the start, so that it can be acted on swiftly and effectively. The way smart data works is by formatting it in a way that makes it easily understood by human eyes from the start.

What makes “smart data” smart is that the data collection points are intelligent enough to understand the data right away. This allows the device sensor to output human-readable data that is useful before sending that data to a database for storage and/or detailed analysis.

Thus, Smart Data is the necessary evolution of Big Data to treat data intelligently, as it allows companies to obtain, among others, the following benefits: 

Added value. The volume of information that companies have is useless without a correct analysis of it. Consequently, Smart Data offers the extraction of added value to this data through intelligent analysis. In this way, the strategies can be more precise and effective.

It is an opportunity for SMEs. Smart Data is not about quantity, but about information quality. For this reason, if small and medium-sized companies define well which information they need, they can take advantage of intelligent data analysis instead of collecting millions of bytes of information that will not be useful in their decision-making and improvement process.

Better customer or consumer service. Smart Data allows defining exactly the information that is needed, making it easier for companies to find the most relevant information of each client or consumer, facilitating personalization with them, including life cycle management and interactions. 

Prevent problems. The collection of raw data and the analysis of this information with Smart Data also facilitates access to information that helps detect failures and prevent them in advance by confirm what is really decisive and effective. 

Know the competition better. An intelligent analysis of the data allows companies to obtain information about the market, the sector in which they operate, and the situation of the competition, providing them with useful tools to improve their position, such as price monitoring or change trends. 

In short, Smart Data is the added value that Big Data needs to reach its full potential, because without a correct and intelligent analysis of the data, companies will not be able to obtain that competitive advantage that the collection of information offers.

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