Why do you think it is important to learn how to use a spreadsheet application like MSExcel? Why do you think business rely on spreadsheet applications? Think of a decision at work or in your personal life that is going to be data dependent. Explain what type of data you would need and how you would analyze the data to help you arrive at the optimum decision.

Why do you think it is important to learn how to use a spreadsheet application like MSExcel? Why do you think business rely on spreadsheet applications? Think of a decision at work or in your personal life that is going to be data dependent. Explain what type of data you would need and how you would analyze the data to help you arrive at the optimum decision.

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter9: Business Intelligence And Analytics

Section: Chapter Questions

Problem 4SAT

See similar textbooks

Similar questions

Please type answer. How does the data analyst deal with validating data so that the business is confident in the results the reports are showing? Is it possible to do automatic validation in environments that have a large amount of data and if so, what are those processes?
What kinds of data inconsistencies might you expect to see when looking at stock data for your favorite publicly listed companies?
Consider the following data-gathering techniques: Describe the method's goal, advantages, and disadvantages, as well as the sorts of data you can gather with it. In-depth group interviews
Explain how hard it is to put business data into action.
What are the responsibilities of a data scientist? If you want to be a data scientist, do you need a specific background?
Computer Science You have been asked to help one of the data analysts who is working in your team. The data analyst has all the right data in place and upon exploring the data, you find out that there are lots of missing values. What are some of the ways you would use to address this problem? Please explain the merits and demerits of each approach? Do you think that the strategies you are using to tackle this issue are related to the ways you will use to feed your data to a specific algorithm to build a statistical/machine learning/deep learning model? Why or Why not?
What data science topics are you interested in learning more about? How might you apply some of the things to real-life data?
What are some specific inputs that may result in big data?
Senior management has asked you to research a Big Data topic. They would like you to choose one of the two options described below. You should write this as a case in which you present the business problem that needs to be addressed, then you present at least two Big Data solutions for solving the business problem, and conclude with which one you would recommend and why. Topics to research, along with questions to consider include: Option 1 - Data Analytics use in various industries – (industries could include weather, sports, social media, marketing, financial, politics, farming, medicine, or any other industry that you find interesting to explore.) This analysis should include the following. a. A summary of how data analytics is being used within the industry selected. b. Who, within the industry, is using data analytics? c. What opportunities does data analytics provide that was previous unavailable? d. What threats does using data analytics present? e. What skills are necessary for…
When utilizing a disjointed data system, what kind of difficulties and worries might you expect to encounter?
It is up for contention when and how data from an organization is used or governed.
What exactly does a data scientist do? Is it necessary for a data scientist to have a specific degree or training?