Big Data and the applications of its techniques and tools to businesses are a necessity for many companies. In this article, we will learn about the main applications of Big Data to digital marketing and how they can help us to better understand our clients and offer personalized strategies. The real applications of Big Data  

Data has become increasingly important in recent years, especially in the business area. But not every company is already equipped with the right strategies and tools in order to fully exploit the dormant potential of its business data. The reason is often doubts about the benefits

The big data takes advantage of the computing power and analysis of machines for detecting patterns and valuable information. However, the truth is often in the details and can only be detected by direct human observation. This is the concept of small data. The small data allows us to reach important conclusions as those of the study by Kelton Global on Facebook Messenger, which revealed that 71

Today, the entire industry is under siege from the competition. This has been the catalyst for companies to adopt digital transformation, to cause a disruptive effect on existing business models, and remove intermediaries in customer relationships from their competitors. But what do we mean by "

Big Data applications are the methods that we can use in our company to benefit from the immense amounts of data generated by our business, clients, and environment. In this article, we will review the main Big Data applications that allow us to innovate and transform the business of our company. Also, you will learn about the essentials od bid data analytics. Big Data applications: what

Big Data Machine Learning is the application of machine learning to the large amounts of heterogeneous data that we have available for strategic decision-making, with minimal human supervision. This article explains what Machine Learning is applied to Big Data and how it is making a difference for those companies that t

More than 1.7 billion bytes of information are generated per minute in the world, a quantity that is impossible to analyze manually. This is where the Big Data and Analysis Data hog the limelight. Through predictive analytics, data mining, and forecasting and optimization, companies are able to drive innovat

A successful email marketing campaign is based on a well-founded target group analysis. In order to get to know the wishes, interests, and needs of customers, companies rely on user data such as age and gender, but also consumer behavior, click behavior, and device use. This is where big data comes into play: The data generated by a company is now more extensive than ever and requires good structuring and evalua

Data is the key to every business. Knowing it with necessary terms will ease the work. Many various approaches are there to analyze and improve data insights. One of the common and most demanding techniques is data science. Data science is a popular term used by many internet users. The concept of data science is very simple; it just delivers the result

Data can help you only if the level of understanding is approachable because data is built according to the subject. It may be quantitative or qualitative. Working with such a level of data type can use effectively by attempting the chance of visualizing it. Data Visualization is a term used by many data scientists to