Tips and reflection about Big Data & Data Analytics by Marilia Martins

Marilia Pereira Martins - 1053256 This blog was created as a project for Data and Digital Marketing Analytics as part of the Master of Science in Digital Marketing to analyse the traffic gathered over a period of 6 weeks using Google Analytics. A blog or website is a tool that is part of a digital marketing strategy and that should always have its objectives well defined.  To achieve the goals, it is necessary to know how to evaluate the performance of a website using metrics available through Google Analytics. The Graphics below show an overview of the result of the traffic source, most accessed pages and average browsing time, audience, bounce rate, number of visitors to the website, place of origin of these visits (city, country, etc.) and which browsers (Chrome, Firefox, etc.) and devices (desktop, mobile, tablets, etc.) are being used to access the blog. This results can be used to monitor details of traffic to the website, which allows making relevant improveme...

Artificial intelligence (AI), the term itself refers to machines with a knowledge that resembles or simulates the human mind, most eminently learning and problem-solving. Thus, capabilities associated with the Machine Learning - this enables a system to learn from data through software (IBM, 2020) it helps in providing useful business insights and precise models, by the data collected. Moreover, the ideas they get guide marketers to promote campaign performance and output on investment (ROI) faster.  According to Smart insights 2020, AI is making a difference in the way of marketers decode the ever-changing world of marketing by analyzing customer data and helping marketers make sense of user intent. As mentioned, the fundamental uses of AI in Marketing is Machine Learning. Some options already combine the two things that can bring advantages to increase customer value and maintenance:  Sales forecasting:  use the data collected about previous sales...

What are the benefits of using Customer Data for marketing No matter the business you work with, the data collected about your customers can bring lots of insides and improvement of each aspect of your business. The types of data collected can include personal data and preferences, such as name, IP, address, locations, etc.  (Truyo, 2020) . There are many benefits about collecting customer data precisely the benefits of collecting this data for marketing is tailoring campaigns by anticipating needs, customer preferences, communications, a more profound understanding of the market.  1.      Anticipating needs:  Data makes it much simpler for companies to get what customers are looking for, or what they need, the particular services/products, and even more, show how they prefer to connect along with your brand. 2.      Customer preferences:  Brings the possibility of segmentation marketing strategies throu...

The 3Vs of big data: volume, velocity and variety now need to turn into value! However, the definition of value is referring to a business, the capability to turn vast amounts of data into a useful report, according to (IBM, 2015). Value is what brings relevance to Big Data: there is no point in having access to a massive amount of information every second if it cannot generate value. Thus, applying big data to digital marketing is a great idea, as it is vital to guarantee that the insights that are produced are based on precise data and lead to quantifiable improvements at the end of the day. Big data brings endless possibilities to approach, captivate, communicate with the client, which generates optimization of the experiences that the customer has about the business. Marketing can benefit from the use of extractable information from big data to create more assertive actions, as have a high potential to extract insights to develop products, create, optimize...

  Do you know the Vs from Big Data? Have you ever heard about it? Unsplash (2020) It is not only the amount of data that define Big Data; the proposal is to offer a consistent approach in dealing with the constant growth and complexity of the data. The concept considers the 5 V's of Big Data: Volume, Velocity, Variety, Veracity and Value. But to understand the idea, let's go to the principal based on a pillar of 3 items: 1. Volume:   Is the first V is the most apparent; it concerns the amount of data from various sources acquired by companies and humans. It includes financial, social network or machine data, depending on the segment you are referring it. Also, is best evidenced by the facts of everyday life: such as the volume of email exchanges, bank transactions, interactions on social networks, call logging and data traffic on telephone lines and so on.  (Wishworks, 2020).   The amount of data that we humans have already produce...