Mariel Montenegro. Digital Marketing

In the last 4 weeks, I have started this blog in which I have enjoyed writing and sharing it and I have been very surprised about the reach it has had so far. The statistics of the blog itself show me so far 1,099 views of the page with audience from various parts of the world. For me it has been very interesting to learn to use google analytics in which I first faced problems with the installation and I had to re-install it thinking that something was wrong. Then I will analyse the results obtained since the reinstallation of the program. BLOGGER PAGE OVERVIEW: GOOGLE ANALYTICS: Audience Overview: Users :   Since I restarted the blog with the data analysis is showing I could engage 75 users considering people who clicked at least one. New Users:   This metrics displays the first time user, which is the same as the metric user (75 users).           Sessions:   93 ses...

AI in marketing is an integrated concept that uses machine learning and other ideas to assume the course of action that is associated with a person and his/her perception. The idea of artificial intelligence refers to the massive amount of data that is being segregated for social media and email. The conceptualization of AI marketing is used to generalize the concepts which can provide a better understanding of the business and its customers. Moreover, marketers can also create valid profiles utilizing the idea of artificial intelligence. It is used to bridge the gap between data science and the organizational ethics that are needed to make machine learning more simplified ( Stone et al. 2019 ). The generation of the concept of big data has enabled the advanced solutions of data science to grow with advancements. Companies can use the idea of AI and can boost their productivity. The concept of artificial intelligence can be a boosting factor to expand the return on investmen...

The biggest challenge that was being faced by the marketers about big data was the most technical which can be associated with the considerable velocity of the data associated. The underlying issue that rose was the massive volume of data that is to be segregated for the inferential statistics of the data provided ( Mitić, 2019 ). Some of the challenges that were being faced by data analytics are as mentioned below: Dealing with massive intensity of data: The most common problem that is being faced by the data analytics industry is to analyze the data that comes with huge volume.  It is necessary to segregate the data into structured and unstructured so that the data can be controlled Storing of data Most of the organizations intentionally don't want to save the enormous volume of data that is being collected. The main issue behind this is that they want to use that for achieving business goals. Adoption of proper strategies would help the business concerns to make the...

Big Data analytics is needed to identify the opportunity that is required in order to determine the underlying complexity of the information that is being provided to measure the velocity and the variety of the data that is being provided for the digitalization of the severity of the data that is being mainly concerned with combination of high sources of data into the mainstream business. There are several areas of data analytics that are primarily concerned with the sales and the delivery of the results are at a later stage. Through the data analytics value of data is being created and thus the prices are being defined and the managed through proper selling technologies RGA are attained to expand the price maximization of the values that are basically needed to provide appropriate analytics of data science. Through the concept of data science, the technologies are used in a productive way, and so the decision making related to the proper analytics of the products can also be u...

The big data concept is much fast and complex that leads to a large amount of information that is being collected and accumulated for better feedback. Generally, the idea of big data analytics deals with the idea of triple v's. They are: Volume Organizations are always on the lookout to provide vast amounts of data that needs to be segregated to store data on cheap platforms. When the concept of big data analytics is mainly concerned with the social media concerns, then it can be seen that from the massive volume of the data that is processed by YouTube, twitter or Face book is being used by several portals on a daily basis. Velocity It is mainly concerned with the speed by which the data flows into the organization. The velocity of data analytics is generally needed to identify the rate at which a particular data is being flown to the specific sector ( Erevelles et al. 2016 ). Talking about the general social media sites like YouTube, Face book huge or Google colossal ...

Big Data is said to be a combination of several structured and unstructured data that is used to gather some amount of information related to machine learning. The systems that are being integrated with the concept of big data analysis are a much common factor for the environment in which the order is said to be operated. Companies often use big data to improve their operational efficiency and also opt for better customer preferences and thus this holds a better competitive advantage over the engagement of the customers that are basically concerned with the historical data prices and the marketing strategies that are needed for meeting the customer needs and the desires. Big data is such a data analysis process that helps to identify the primary risk factors that are required by the doctors to identify the primary source of the illness and also helps to maintain proper parity with the organizations and thus it helps to meet the current demands of the consumers. Figure 1: Big D...