To what extent do you think that predictive analytics and big data are the future of strategic analysis? Justify your answer.
Right now, BIG DATA and analytics appear to be the biggest trend
in business administration and their future application only seems
to become more relevant, making their adoption a necessity for the
conduction of business processes, management and decision making to
its best effect.
The future implications of BIG DATA are immense and it will impact
the business processes to an even larger extent in the coming
future. We have already started seeing the application of
predictive analysis, data utilization and the advent of a structure
which is based on the AI application of large data analytics. What
this means is that the two biggest field in information technology
and information management have now come together to allow
companies a better understanding of how both these processes of
AI-based decision making and automation and BIG DATA analytics can
be brought together to create a complex structure which has the
power of a computer backed by the intellect of a human-based
understanding, utilizing such fields like “deep learning” to its
maximum capacity.
There is also an ever-increasing need to optimize the supply
chain and value chain processes and understanding the customer's
need. The decision-making processes are increasingly becoming more
complex as more and more variables are being added to it. Simply
saying that the businesses have now developed a need for the
capabilities of analytics in about every business process can be
considered as being the main reason why the implementation and
adoption of BIG DATA capabilities and analytics exist, especially
to a large degree in the future.
To what extent do you think that predictive analytics and big data are the future of...
Kenneth Cukier highlighted a number of issues with predictive analytics in his Ted Talk on big data. One of those was the potential for punishment based on predictions. What is your reaction to using big data and predictive analytics in this way?
What do you think data and analytics would change business in the next 5 years?
Explain in your own words what Big Data is and what its characteristics are What are the uses of Big Data? Discuss the challenges that come with using Big Data. Do you think these challenges can be overcome? Justify your answer
Read textbook page 225 “Future Vision – Big Data as a Strategic Weapon”. Answer either question (1) What strategic connection(s) do you see between big data and social media? Or question (2) What ethical obstacles might big data present? (3) How can managers overcome those obstacles?
As it becomes more common for employers to utilize predictive analytics in hiring - often with a goal of hiring the "best" candidate while reducing bias - what benefits and/or concerns can you identify? What do you think about some of these practices? What are some examples of less technological practices that can reduce bias?
To what extent do you think that complementing the quantitative analysis of financial ratios with qualitative analysis would make the interpretation more worthwhile? If you agree, what are the qualitative measures that can be used ?
Describe how does predictive analytics differ from data mining and business intelligence? How are they related? Use examples to reinforce your answer.
Using data to estimate what is likely to occur in the future is an example of Multiple Choice O predictive analytics. O O diagnostic analytics. O prescriptive analytics. descriptive analytics.
What is big data? How can big data analytics help a company grow? Explain Hadoop and MapReduce. Can an ERP play a part in this growth?
What are the future trends in healthcare data and analytics?