A Promising Future For An Iintelligent Life



In October 2015, Jurgen Klopp arrived as the coach of the English club Liverpool from Borussia Dortmund, and the English team that had a scientific team specialized in data analysis had relied on the data to make the decision to sign with Klopp.

The data analysis team in Liverpool led by Ian Graham, who holds a Ph.D. in theoretical physics, had concluded that despite the loss and disappointing performance of Dortmund in the German League, Dortmund played well, but the performance did not match the results, and that coach Klopp was not responsible for those. Results.

The data analysis team understands that every detail on the field affects scoring by knowing the details and using them to stand out from the opponents.

Graham, who was able to build a database of about 10 thousand players, had recommended Liverpool to include the Egyptian player “Mohamed Salah” based on his performance during his previous time with the Chilean team, and this is what happened to the English team’s acquisition of the Egyptian player for 42 million euros.

Data analysis has led the English team to lead the European continent and become a difficult number for local and European teams. Perhaps this introduction gives us a clear example of the importance of data collection and analysis in making the right decisions and achieving success, profits, and prosperity in society.

The volume of data in the world is increasing steadily, as the outcome of daily interactions with digital products and services, such as computers, mobile phones, and social media platforms, leads to the formation of a huge amount of data at every moment, and this data is known as "big data".

The concept of “Big Data”, as defined by the United Nations, refers to “the accumulation and analysis of vastly increasing information resources, in a way that exceeds the storage and analysis capabilities that were produced by the first equipment and software. Available data ”.


The McKinsey Global Institute defines "big data" as a collection of data of a size greater than the ability of traditional database tools to capture, store, manage, and analyze that data.

Big data can simply be referred to as data generated through our increasing use of digital devices, computers, and everything connected to the Internet.

And it is not just about pure digital operations such as watching and downloading videos, making calls or sending text messages, emails, and attachments, but it also extends to include much regular business in our reality, it may seem on the surface to be non-automated business, but in reality, it uses technology and leaves behind Digital artifacts and data pile up every single moment. For example, traditional store purchases or ordering a favorite meal are often associated with digital businesses that shape big data.

The information and communication revolution, the increase in the number of computers connected to the Internet, the increase in the number of mobile phone users, and the connection of most household and industrial devices with each other through the Internet of Things, have resulted in the production of massive content that currently amounts to more than 1.7 trillion bytes of data per minute, including What some data centers store and analyze, including what is scanned due to its lack of importance.

Characteristics of Big Data

The methods of processing big data have other characteristics that differ from traditional data and databases, and the size, diversity of files, and speed are among the most important of these characteristics.

In terms of volume, experts estimate that the volume of data on the Internet this year will reach nearly 40,000 zettabytes of data ready for analysis and data extraction, and a zettabyte is equivalent to 1,000 billion gigabytes.

Big data is also characterized by its rapid flow and circulation, for example, Twitter receives about 500 million tweets per day, which requires rapid analysis of big data as it arrives and the creation of special technologies to process that data.


Big data is also characterized by its diversity, with the diversity of platforms that generate this data, such as websites, mobile phones, and social networks, so the forms of this data differ between images, audio clips, video, written texts, and others.

Big data at community service

Data is the lifeblood of decision-making, and big data technologies help empower businesses and enable them to develop tailored and accurate analytics for potential and existing customers, improve user experience, monitor manufacturing processes, and address inefficiencies during production processes.

Big data has allowed business enterprises to significantly increase their profits and enhance their competitive position, by knowing customers' desires and tendencies in order to provide products and services based on those desires and tendencies, which leads to ensuring customer satisfaction, thus increasing sales and profits, in addition to the possibility of directing promotional advertisements on The Internet, through applications that analyze user data, previous search and purchase processes, and direct advertisements that match those interests and preferences.

In the health sector, big data contribute to finding more effective treatments for a range of incurable diseases, by collecting and analyzing patient data from hospitals and medical clinics, which leads to detecting disease development early.

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