Implementing Big Data is something that, sooner or later, businesses that want to benefit from an analytical advantage over their competitors will have to do.
For any current business it is important to be up to date with the available technologies that allow them to improve their operation. Big Data is another requirement that has arisen as a result of the expansion of the Internet, the massive use of technological applications and electronic devices.
All this digital activity generates a huge amount of data and with this, the need for new tools capable of storing, extracting and interpreting it.
What is Big Data?
It is a set of techniques and tools that allow the adequate treatment of large amounts of structured, semi-structured and unstructured data from various sources.
Mainly, its function is to facilitate analytics using statistical models to support Business Analytics processes.
When talking about unstructured data, it refers to those that derive from technological innovations such as: smartphones, social networks, GPS, sensors, Internet searches and other electronic sources.
The complex nature of this type of data cannot be processed by conventional programs. However, it is convenient to evaluate them because they provide valuable information for making business decisions.
It is here where Big Data solutions come to cover that need for a software infrastructure that supports unstructured data management, through non-relational databases and particular visualization packages.
In this way, this robust technological proposal manages to overcome the difficulty of processing data sets whose volume, variety and speed require special treatment to become reliable information and to discover the immense knowledge they represent.
Some platforms that have made the development of Big Data possible are: NoSQL, Hadoop, Spark, Storm and Hive. It is also important to mention that large and small companies share the same need for information, their difference lies only in scale.
That is why there are currently Big Data solutions available to companies of all sizes, such as Microsoft’s Power BI, a complete business intelligence and analytics tool available at affordable prices.
Importance of Big Data for businesses
With the dynamism and immediacy of today’s world, companies are forced to implement technologies that help them keep up with the demanding pace of consumers and the market.
In this sense, Big Data tools and their way of managing data provide key knowledge for decision-making. Definitely, drawing patterns, trends or conclusions is your most precious potential.
Big Data promotes the execution of large-scale analytical procedures. This gives organizations the opportunity to reveal relevant aspects regarding their business models and internal processes, as well as their interaction with their customers.
Likewise, the optimal management of big data leads to multiple benefits. Among them, the reduction of costs and reduction of response times, while promoting the development of innovations.
Other benefits of Big Data are:
- It integrates with other tools such as CRM (Customer Relationship Management), as well as with ERP (Enterprise Resource Planning) or Business Resource Planning Systems.
- Monitors and prevents in real time situations that can alter operational performance.
- Provides timely and accurate information on data stored in conventional databases, as well as other internal and external sources.
- Supports the targeting of marketing strategies, allowing the creation of offers to customers based on their purchasing habits.
- It improves the user experience and favors an increase in the probability of customer loyalty.
In conclusion, the success of Big Data does not lie in the data but rather in the information it makes available. Its power is focused on what teams do with it. The ultimate goal would be to embed that valuable knowledge into business strategies and innovation plans.
Undoubtedly, Big Data is a crucial part of digital transformation as a complement to the existence of other complex structures such as Artificial Intelligence and the Internet of Things. In this way, technology and companies are evolving around the culture of data. That is why adapting your business is the best way to guarantee its future.
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