Big data and big data analytics Flashcards
Big Data
a term that describes large, hard-to-manage volumes of data that inundate businesses on a day to day basis.
structure of big data
can be structured, unstructured and semi structured
what makes big data different from regular data?
it is a more complex set of data which results in traditional software’s being unable to process and store them.
it is an essential and useful tool that can be…
used to improve businesses and help them make more informed decisions.
Advantages of big data
Higher customer retention
Better decision making
higher customer retention
big data can be used by businesses to observe customer patterns to help tailor certain products and services to their wants and needs.
increases customer satisfaction
boosts overall sales
Better decision making
businesses can use big data to improve their decision-making processes as they have more readily available information exposed to them.
means they can use the data to make accurate and informed decisions about the wants and needs of the customers.
Disadvantages of big data
security risks
regulations and legislation
Security risks
due to the volume of sensitive information collected for big data analytics, cyber-security risks are increased as hackers may find this information attractive.
Regulations and legislation
big data can often include personal information and as a result, there are many laws and regulations in place to protect consumers from this.
data protection act 2018
developed to make sure that companies use information ‘fairly, lawfully, and transparently.’
the 3 Vs
high variety
high volume
high velocity
impact on accounting
unavoidable that it is going to change the role of accountants.
negative and positive impact on the profession.
positive impact on the profession
big data can help accountants identify issues quickly with real-time access to data.
people want things done quickly while still being effective these days.
speeds up decision making.
negative impact on the profession
job roles may be altered and skills required to use big data may be different from what we already know.