Digital Economy

 Big Data can be defined as large, complex sets of data, that are of such high volume traditional data processing software can't manage it. Examples of big data include GPS navigation, social media content, credit card details, and public health data.  Many of the concerns with big data arise from the fact that it contains a large amount of personal information. Issues over privacy are one of the biggest issues with big data. Some data is collected by manually imputing our details online, however, our data is also being collected when we are not aware of it, such as through algorithms on social media, tracking what type of content you interact with.  It is impossible for people to have 'informed consent' when it comes to generating big data, as it is not possible to know where the data you are producing will end up or how it will be used. You can listen to this  Podcast on the ethics of big data  to find out more about consent with big data.  The risk of pe...

This blog will look at what skills I have learned through trailhead. The first module I completed was on Service Intelligence. Service intelligence is used to collect customer data in one place and represent it using data visualisations that provide insights into service operations. The data gathered helps you to understand service trends, agent behaviors, and customer satisfaction. Service Intelligence suggests KPIs and uses AI to help you to make better service decisions. I previously completed the role of a customer engagement intern on placement, and this would have been useful in my role to have an overview of how the customer service team was operating. Service Intelligence uses a combination of data cloud and CRM analytics. These are combined to create a visual of KPIs. It uses AI to identify the top reasons for customers to get in touch. It also allows the organisation to see the data in categorised sections. Finally, the system prioritises contact reasons by the most actionab...

This week I will look at some examples od companies that have successfully used ERP in their business. ERP is widely used by large organisations to integrate the management of internal and external resources. I will look at three companies that used Enterprise Applications successfully to support their business strategy and business model. Amazon is one of the largest companies in the world who have successfully implemented ERP into their company. Amazon’s business model is based on an e-commerce platform of buying and selling products, either with directly sourced products or through their third-party seller marketplace. At Amazon, their strategy is to prioritise the customer and offer a diversified range of products. The company has used SAP software since 2008 as they stated their previous software would not allow them to meet long-term goals. The company has implemented SAP across various departments such as finance, purchasing, and inventory control . Implementing SAP has allo...

 This blog will look at why companies struggle to implement information systems. There are many reasons why companies find it hard to implement information systems into the organisation. One of the main reasons why companies struggle is that it is hard for people to adapt to change. In particular, if management is having a hard time adapting to change it can cause resistance. Also for employees who may be in the company for many years, and completing tasks using the same processes, it can take time to adjust to a new way of doing things. Another factor is that it is essential for management to have clear goals and a clear purpose of why the information systems are being implemented in the first place, in order to make sure everyone in the organisation is aligned and they are all working towards the same objectives. In the beginning, the question must be asked; what do we want and how will we get there? From here a gap analysis can be done to work out what it is the company hopes t...