Dylan's Digital Dealings Diary

The analysis of my blog "Dylan's Digital Dealings Diary", an alliteration based name, was conducted on Februrary 26th and encompassed the data on my blog between January 26th 2020 up until February 26th 2020.                                            Figure 1: Realtime metrics  When this data was taken, there was 1 active user on the website. 100% of my traffic was coming from Blogger, where other students would find my account to provide comments and insights and main source of traffic was my first blog, which was an introduction to big data.                                                                                         Figure 2: Audience...

AI or artificial intelligence plays a huge role in marketing in this modern era we now live in. At a glance, AI marketing is a method commonly used of leveraging technology in order to improve the customer journey. In marketing campaigns, it can represent a distinct advantage, in that it can be used to boost ROI. This boost is accomplished by incorporating big data analytics, machine learning along with other processes to gain a greater insight into the target audience. AI can also improve and automate processes in marketing that were once completed by humans. This includes content generation, pay-per-click ads and even web design. When talking specifically about digital marketing, AI has the ability to streamline and optimize marketing campaigns whilst also eliminating the risk of human error. AI programs can also develop reports and data in the digital marketing space to aid the business. Artificial intelligence plays a huge role in marketing, especially with the usage ...

The use of customer data in marketing is clear and necessary for all to see. Customer data usage represents distinct research backed competitive advantages for marketers as the amount of data people generate, and companies collect, is at its highest level ever and ever-increasing. But this customer data represents a huge range of benefits and challenges, both of which I shall be discussing today. The benefits of customer data in marketing are clear for all to see. 70% of companies that collect customer data across multiple channels make use of the ability to segment this data by various criteria. This collection and segmentation process of the data allows companies to not only improve engagement with their customers, but also create models for the buyer’s journey based upon this data. This results in a delivery of more relevant value at the top of the funnel as well.   Customer data in marketing also helps for companies to align to customer interests. When done effect...

According to various research, “Customer Analytics (48%), Operational Analytics (21%), Fraud and Compliance (12%) New Product & Service Innovation (10%) & Enterprise Data Warehouse Optimization (10%) are among the most popular big data use cases in sales and marketing.” (Forbes, 2016). Marketers are now using customer value analytics, based off of big data so they can deliver consistent customer experience across all their various channels. Big data is influencing marketing by providing insights into the effectiveness of content at each particular stage of a sales cycle, conversion rates, revenue etc. The following are 3 clear ways in which Big Data adds value and how it is revolutionising the marketing industry. 1. Customer responsiveness insights Big data is influencing how companies gain greater customer responsiveness and in turn improve their customer insights. “A Forrester study found that 44% of B2C marketers are using big data and analytics to improve ...

Big data is becoming a commonly thrown about term in modern day-to-day life. But how can we categorize what is big data, and what is not? As previously discussed, big data is all data that is beyond the processing capabilities of traditional methods. But due to the complex nature of big data, it is further divided into multiple sub domains. These sub domains or properties are commonly known as the "3 V's of big data" and help to identify the variation of big data from traditional data. The 3 V's are Volume, Velocity and Variety. Volume Volume is usually the first thing that people commonly think of when they consider big data. Volume refers to the amount of data that is collected and/or processed through websites, portals and online applications. For example, Facebook currently stores more than 250 billion images from its users and as far back as 2016, Facebook had 2.5 trillion posts. This is a prime example of the quantities of data that reach incomprehens...