Traditionally we have been handling large amounts of data from various sources of information, both internal and external. The fact of being able to handle Big Data now makes all this mass of information that is created every day around the channels of action and external sources of data can bring competitive advantages to companies, generating a series of benefits as tangible.
However, organizations today require big data consulting Analytics to be more efficient in their operations handled by big data analytics companies.
According to Forbes magazine, the amount of data generated in the last two years exceeds that previously generated in the history of mankind. Therefore, it is very important to approach them intelligently and do things that were simply not available to you before: Big Data technologies allow you to observe with new eyes, analyze customer behavior or even evaluate your products to make sound decisions reducing the risks involved in letting yourself be guided by intuition, and having big data consulting services.
The fact of having access to more information allows us to have a global vision and see in a big way to address the challenges of the globalized world. We can even combine different types of data to perform customer segmentation and marketing and advertising campaigns focused on potential customers. Companies that do not take advantage of this privileged vision can lose competitive positioning.
Through the analysis of different and varied data, we can arrive at different solutions that we could not consider at first. A good example of this is Artificial Intelligence and specifically one branch of this area: Machine Learning. The idea is to be able to teach a computer to solve issues on its own from the data that we transfer to it, which would help us understand the origin of a problem or find the optimal solution.
This was what Arthur Samuel of IBM did in the 50s: as he liked to play checkers, he designed a program for his Defense Calculator machine to play with him. Through a training of several games, Defense Calculator collected data on the possible movements and studied them, and Arthur continued improving the program and teaching him, a strategy so that he chose the movement that would give him more pieces of advantage.
Basing business decisions on available information undoubtedly provides a competitive advantage. A good example of this information is the data poured into social networks: with them, you can identify opportunities to generate business and sell ads based on the interests of each user.
Managing the high volume of data that big data strategy supposes can suppose a problem of storage infrastructure, for that reason it agrees to consider working with them in an environment that does not put limits like the cloud that supposes, in addition, a saving of costs in hardware. In addition, it is an improvement in the accessibility and fluidity of information for the company’s own employees, thereby gaining efficiency, speed, and efficiency.
Telecommunications giant Nokia adopted Amazon Web Services (AWS) in 2013 because it could not scale its databases further to cope with the huge volume of customer registration data (about 800 GB per day). By using Amazon Redshift as data storage, you managed to get the queries to work twice as fast and reduce the storage cost by 50%.
Big Data initiatives require better data visualization tools, which present the data in graphs, tables, and intuitive presentations. These applications allow end users to search and access information quickly, in some cases even in real time. It is a great advantage for customers, who are very satisfied since they have control of the information at the same time it is being generated.
If you have data and you need to transform it into knowledge, we can help you.