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Showing posts with the label Data Governance

Outlining the challenges of managing big data

Introduction As the question and paper from the above-mentioned writers, suggests above, big data and the ability to analyse it is, and will continue to have a huge impact on how businesses work and evolve in the future. Big data is changing not juts computer savvy companies like Google and Facebook but companies from different industries. This answer will first define what big data is and it will then discuss how this is impacting businesses of all kinds.     Big Data Intro There are many different definitions of what big data is. As the name suggests it is when a lot of data needs to be processed but there is no exact cut of point when data as we have known in the past enters the world of “big data” that we have had in recent years. The general consensuses is that we ca consider a dataset to be “big data” when the dataset to too large to be managed by people or basic databases like Microsoft access. The data is impossible too big represent with a few simple graphs....

An enquiry in the ethical challenges facing data-driven firms

  Intro There is an increasing dilemma when it comes how data is collected. It is easy to see why when many writers have said that we have created more data in the last two years that we have in all of human history. The old saying is that knowledge equals power and with great power comes great responsibility. Teachnology in itself is becoming less of a competitive advantage as the latest tech is so assessable. This means the way the way to gain an advantage is with the use of data and becoming “data driven” Data is king and organisations are finding new ways of getting it, often in ways that people are not aware off. One does not need to go far to find someone who is convinced that their device is listening to their conversations for example.    How has this data collection happened? Data has gotton out of control for many reasons but one big reason is that people had and still don’t understand how their data is collected. Many companies offer people terms and conditions...

An evaluation of the utility of the Data Value Map (Nagle and Sammon, 2017) as a framework for developing a shared understanding on data initiatives.

  Introduction First of all, for context, it is vital to start this answer it is important to quickly describe what the six boxes in the above framework are. The four main drivers of this framework are people, processes technology and most recently data. While the main steps to managing data successfully according to the model are as followed. The paper written by the authors states that the framework should be used as a medium for conversation about data using the question words of why, who, when, where, what and how. It is these discussions under the six primary headings or building blocks of the framework that help create a shared understanding of data initives.    6 Pillars Business Value  refers to what activities the organisation could do to better manage its data. Also, what it could start and stop doing to achieve the same goal.  Data behaviours/Governance:  What data needs to be anticipated by a firm about their data and how does the data need to b...