Big data: all about the data analysis revolution
Big data is a solution that shows how data used correctly adds value to companies and government institutions. On the other hand, it is essential to have a thorough understanding of this resource in order to implement it correctly.
In this article, we’ll outline a number of features of this technology and show you the main advantages of investing in it. Check it out!
What is big data?
Big Data is a segment that studies, collects, filters, processes and analyzes a huge volume of data in order to generate information. It is also considered a set of complex data to be processed by older systems, prior to the emergence of this technology.
In today’s society, the vast amount of data created every day by social networks, banking transactions and scientific research requires the use of a technological resource capable of transforming information into growth opportunities.
This is fundamental for organizations to have a favorable scenario for making intelligent decisions and maintaining a focus on continuous improvement. This trend became more evident with the emergence of the first data centers in the 1970s.
However, the focus on improved data management became more relevant in the 2000s. This happened thanks to Doug Laney’s article, which provided a clear definition of big data.
In 2005, the development of open-source solutions favored the expansion of this concept in companies, which is based on 5 Vs:
- volume: the amount of data from various sources used by corporations;
- velocity: agile data transmission with real-time collection;
- variety: use of different formats (structured or not) from audio, images, transactions, videos, etc.
- value: the data stored and processed is relevant to companies today and in the future;
- veracity: the information has quality and reliability, due to the filtering and cleaning processes carried out by big data.
How does big data help companies?
Organizations need tools for collecting, processing and extracting strategic information from a large volume of data. This need affects institutions of different segments and sizes that prioritize optimizing performance and saving resources.
And to put this into practice, Big Data works by collecting data from various sources, such as social media, devices connected to the Internet, data center servers, sensors, among others.
After collection, the data goes through the storage phase, which involves the use of No SQL databases or distributed file systems. This activity is crucial for data to have a high level of availability.
The next stage is processing, which involves organizing, cleaning and preparing the data for analysis, which is the last stage of big data. It uses various evaluation techniques to generate analyses and patterns that help managers make decisions.
What are the major benefits of using data in decision-making?
Decision-making needs to be more agile and efficient. But how do you combine these objectives with the need to avoid mistakes? One good answer is to invest in big data solutions.
There are several benefits to adopting this technology in decision-making. One of them is having greater precision in choosing the actions to be implemented in order to achieve more substantial results. This is because big data provides strategic information that gives a clearer view of the current moment and the future.
Another advantage of this technology is that it makes it possible to monitor and analyze consumer behavior. This makes it easier to anticipate trends, which in many cases helps to launch products and services that are quickly accepted by the target audience.
Another advantage of big data is that it makes it possible to identify areas where efficiency needs to be improved. As a result, it helps to improve various segments, such as logistics, inventory management, the supply chain, among others.
Using this information, a company can visualize the individual preferences of each consumer. This way, businesses can devise strategies to offer a personalized experience to each customer, which is crucial for sales and loyalty.
Also part of the benefits is the possibility of assessing potential risks quickly and accurately. This initiative covers segments such as cybersecurity, finance and combating fraud. Undoubtedly, mitigating failures reduces the presence of situations that harm institutional performance.
The role of data centers in supporting big data
Having a state-of-the-art technological infrastructure makes all the difference when it comes to harnessing the potential of big data. In order to help you get a clear understand of this, the following topics will highlight the importance of having high-level data centers. Read on!
Focus on processing and storage
First of all, you need a data center that is really prepared to process and store a large volume of data. As well as having state-of-the-art equipment, this structure needs to use virtualization technology.
In other words, it is essential to make physical servers able to act as multiple machines. This makes it easier to store and make big data information available.
Scalability
With cloud computing in the spotlight, many organizations have realized that they can increase their data consumption exponentially. In this sense, it is important to rely on a provider that is able to expand processing and storage services thanks to the intelligent use of data centers.
Advanced connectivity
Following good data management practices is great, but you need to make it accessible extremely quickly. With an eye on this trend, Ascenty has Service Fabric.
This solution allows customers to use the world’s leading cloud solutions, favoring not only the use of big data, but also Artificial Intelligence (AI) with high performance.
Safety and efficiency first!
Protecting strategic information is more than an obligation for companies. And with a state-of-the-art technological infrastructure, organizations will have the best resources to minimize the risks of a cyber-attack.
Relying on cloud computing makes it easier to adopt big data. This is because there are technological resources capable of supporting the operations of this solution.
Unlock the potential of big data
Investment in big data is not just a trend, but a necessity for organizations looking to innovate and optimize their processes. By adopting a structured approach, companies can unlock perspectives, improve decision-making and, consequently, drive innovation.
However, achieving these results requires more than just technology, it requires a robust infrastructure that supports the flow and processing of this data in a secure and scalable way.
With ServiceFabric™, your company will be equipped to face the challenges of the digital age, making the most of the potential of Big Data and keeping up with market demands with the best global practices.
And for this to become a reality in your business, the recommendation is to read the article on ServiceFabric™ right now. By reading this article, you’ll understand how this Ascenty service can be the differentiator your organization needs.