It is already known to managers that the collection and analysis of reliable information can help them in their decision making, which will certainly help their business to gain competitive advantages in the market. However, analyzing information in the midst of the scenario we currently live in is quite challenging, as the volume of business data – of the most varied types – grows at an impressive speed.

And this is precisely the challenge posed by Big Data. If companies are unable to circumvent it, then they will end up having their costs increased and their competitiveness reduced. But if your managers build a solid strategy, they will be able to gain operational efficiencies and take advantage of all the new opportunities generated by Big Data. Next, we'll show you what you must do to overcome this challenge. Look:

The “3 Vs” of Big Data

Despite all the repercussions of the increase in the volume of data around the world, many companies still do not know that they are facing this problem, or simply ignore it. But they will only begin to 'feel firsthand' the challenge posed by Big Data when their IT infrastructure (applications, databases) can no longer support the rapid increase in the volume of information.

1. Volume

Refers to the amount of data generated each second. According to IDC, the digital universe will comprise 44 zettabytes, or 44 trillion gigabytes , by 2020. There are already some zettabyte data storage devices that can run on the local network and back up information to the cloud;

2. Variety

Data from the most diverse sources and formats. As an example, we can cite interactions on social networks (exchanging messages, sharing files), e-commerce data, web logs, online banking transactions, emails, information generated by smart devices, etc.

3. Speed

It refers to the speed at which data is collected, stored, processed and analyzed. In companies, all these processes must be carried out in a short period of time, which varies from 'daily' to 'real time'. The shorter the time, the better decision-making and customer experience.

The stages of the data management cycle

Before data is delivered to managers, they need to go through several processes, ranging from collection to analysis. These processes generate a large workload, which is not supported by traditional IT infrastructures. To support the volume, speed and variety of data, this infrastructure would have to be constantly expanded, which would be unfeasible for any company.

Following are the processes that the data must go through:

  • Collection: the collection of raw data (emails, interactions, transactions, etc.) is the first challenge faced by companies. Today, manual collection of this data is virtually impossible. That's why managers must use a Big Data platform to be able to collect them;
  • Storage: once collected, data must be stored. It is important that the storage repository is secure, durable and scalable, and that it automatically backs up information;
  • Processing and analysis: Raw data is sorted, aggregated or joined and transformed into consumable information. The resulting information is made available for consumption through visualization tools;
  • Consumption and visualization: from practical and consumable data, managers can make important discoveries and make better decisions. That is, they can extract value from the information collected and processed.

How the AWS Platform Addresses These Challenges

With more than 50 services, AWS offers everything a business needs to collect, store, process, analyze, and visualize its data in the cloud. Unlike traditional infrastructures, in which managers need to invest in new assets to be able to expand them, on the AWS platform they can scale their Big Data applications simply and quickly, according to demand .

Thus, the company no longer needs to invest in assets and dedicate a part of the budget to maintaining the infrastructure. With the AWS platform, managers can make Big Data analysis much more affordable . In addition, they can keep up with the volume, velocity and variety of data and make valuable discoveries that can help the business gain competitive advantages in the market.

So, ready to overcome the challenge imposed by Big Data? Take the opportunity to write your questions or experiences related to this subject in the comments!

 

Recommended Articles:

Big Data: What animal is this?

Cloud computing gives a new strategic vision for companies

photo credit: billautomata chromosome IX via photopin (license) [:]

Written by

Sky.One Team

This content was produced by SkyOne's team of cloud and digital transformation experts.