100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
Previously searched by you
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling$7.99
Add to cart
Business Intelligence, Analytics, Data Science, An
Business Intelligence, Analytics, Data Science, an
Exam (elaborations)
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
14 views 0 purchase
Course
Business Intelligence, Analytics, Data Science, an
Institution
Business Intelligence, Analytics, Data Science, An
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
1) To respond to the market challenges, SiriusXM decided to focus on production efficiency.
...
Business Intelligence, Analytics, Data Science, an
All documents for this subject (12)
Seller
Follow
AcademicSuperScores
Reviews received
Content preview
Business Intelligence, Analytics, Data Science,
and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
1) To respond to the market challenges, SiriusXM decided to focus on production efficiency.
Answer: FALSE
Diff: 1 Page Ref: 147
2) Data is the contextualization of information, also called "information set in context."
Answer: FALSE
Diff: 1 Page Ref: 151
3) Data is the main ingredient, or row material, for any BI, data science, and business analytics
initiative.
Answer: TRUE
Diff: 2 Page Ref: 151
4) Predictive algorithms generally require a flat file with a target variable, so making data
analytics ready for prediction means that data sets must be transformed into a flat-file format and
made ready for ingestion into those predictive algorithms.
Answer: TRUE
Diff: 2 Page Ref: 152
5) Data source reliability means that data are correct and are a good match for the analytics
problem.
Answer: FALSE
Diff: 1 Page Ref: 153
6) Data accessibility means that the data are easily and readily obtainable.
Answer: TRUE
Diff: 3 Page Ref: 89
7) Structured data is what data mining algorithms use and can be classified as categorical or
numeric.
Answer: TRUE
Diff: 1 Page Ref: 155
8) Interval data are numerical variables that have an absolute zero reference point.
Answer: FALSE
Diff: 2 Page Ref: 156
10) Ordinal data is a sub-part of the numerical data category within the data taxonomy.
Answer: FALSE
Diff: 2 Page Ref: 155
11) Unstructured data includes multimedia data, textual data, and web log data.
Answer: TRUE
Diff: 2 Page Ref: 155
12) Datum is what we name the plural form of data.
Answer: FALSE
Diff: 2 Page Ref: 155
13) Data are often viewed as the lowest level of abstraction from which information and then
knowledge is derived.
Answer: TRUE
Diff: 2 Page Ref: 155
14) Data preprocessing is a tedious and time-demanding process necessary to convert the raw
real-world data into a well-refined form for analytics algorithms.
Answer: TRUE
Diff: 2 Page Ref: 157
15) In the first phase of data preprocessing, the data is cleaned for further transformation.
Answer: FALSE
Diff: 2 Page Ref: 158
16) Big data is defined solely by its sheer volume, which can be at the Exabyte or Zettabyte
levels.
Answer: FALSE
Diff: 2 Page Ref: 167
17) A clear business need is amongst the most important big data analytics success factors.
Answer: TRUE
Diff: 2 Page Ref: 171
18) Both commercial and opensource MapReduce libraries are available that provide a wide
range of analytic capabilities.
Answer: TRUE
Diff: 2 Page Ref: 178
19) Hadoop is a big data technology that distributes the analytics processing of very large multi-
structured data files across a large cluster of machines.
Answer: FALSE
Diff: 2 Page Ref: 171
, 20) The main benefit of Hadoop is that it allows enterprises to process and analyze large volumes
of unstructured and semi-structured data in a cost and time-effective manner.
Answer: TRUE
Diff: 2 Page Ref: 177
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller AcademicSuperScores. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $7.99. You're not tied to anything after your purchase.
