Hi! My name is Ciaran Kavanagh and this is my first ever blog post, its all very unusual to me. A few things to know about me are I am from Borris in Co.Carlow. I am twenty one years old and I am currently in my fourth and final year of Bachelor of Business in SETU. I love attending college so this year will be strange to me as I am nervous to graduate! I chose the accounting stream last year and this year will be similar to last year, hard and very exam based. My favourite hobbies is sports! I love watching, talking about and playing sports. My favourite sport is soccer. My favourite team is Chelsea, even though they haven't been very good recently 😂 The module I am writing this blog for is Digital Economy and from what I've grasped so far is we will be learning abou...
What is big data? Well it doesn't have a specific definition but it is usually associated with complex and large datasets on which special tools and methods are used to perform operations to derive meaningful information and support better decision making. Sounds great right? so why would there be challenges when using or reviewing large sums of data? Let me break some down.
Discrimination & Bias 👥
When we look at data, we are of course looking at past information that has been collected, but what if that data had been collected from a bias point of view? This can cause people using the said data for decision making to reinforce bias. This can lead to unfair discrimination when making decisions such as hiring or profiling which raises ethical concerns related to fairness and transparency.
When companies store a huge amount of data, they make themselves prime targets for cyberattacks and data breaches. Exposure of data can lead to multiple consequences such as identity theft, fraud and security issues. This year Sony's data was breached by a cyberattack twice where seven thousand employees personal data was stolen.
Accuracy 🎯
When Big Data is published, decisions can be made based on the theory that the data is 100% accurate, which can lead to huge controversy if the data is incomplete or faulty. Verification of data is a massive ongoing issue for Big Data.
Ownership ❓
When Big Data is created, it tends to pull data from different sources, which begs the question, who owns the data? who has the right to use it and for what reasons? The lack of guidelines when using big data can lead to ethical concerns.
That's all for this weeks blog!, please let me know in the comments your thoughts on big data, do you have any concerns? Thanks for reading 👂👌
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