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Business Analytics Overview Knowledge Check Quiz 1 Questions & Answers $12.29   Add to cart

Exam (elaborations)

Business Analytics Overview Knowledge Check Quiz 1 Questions & Answers

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  • Business Analytics Overview

Gigabyte - ANSWERS-1024 megabytes Terabyte - ANSWERS-1024 gigabytes Petabyte - ANSWERS-1024 terabytes Exabyte - ANSWERS-1024 petabytes Zettabyte - ANSWERS-1024 exabytes Business Intelligence (BI) - ANSWERSLooking back at what happened and how it happened. Business Analytics (BA) -...

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  • October 7, 2024
  • 4
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Business Analytics Overview
  • Business Analytics Overview
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Business Analytics Overview Knowledge
Check Quiz 1 Questions & Answers
Gigabyte - ANSWERS-1024 megabytes

Terabyte - ANSWERS-1024 gigabytes

Petabyte - ANSWERS-1024 terabytes

Exabyte - ANSWERS-1024 petabytes

Zettabyte - ANSWERS-1024 exabytes

Business Intelligence (BI) - ANSWERSLooking back at what happened and how it
happened.

Business Analytics (BA) - ANSWERSDeals with the why's of what happened and
intends to try and make predictions of what might happen.

Data Aggregation - ANSWERSPrior to analysis, data must first be gathered, organized,
and filtered, either through volunteered data or transactional records.

Data Cleansing - ANSWERSThe process of detecting and correcting (or removing)
corrupt or inaccurate records from a record set, table, or database and refers to
identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then
replacing, modifying, or deleting the dirty or coarse data.

Data Granularity - ANSWERSThe level of detail considered in a model or represented in
an analysis. The greater the granularity, the deeper the level of detail.

Data Mining - ANSWERSFor business analytics sorts through large datasets using
databases, statistics, and machine learning to identify trends and establish
relationships.

Text Mining - ANSWERSExplores and organizes large, unstructured text datasets for
the purpose of qualitative and quantitative analysis.

Data Visualization - ANSWERSProvides visual representations such as charts and
graphs for easy and quick data analysis.

Descriptive Analytics - ANSWERSTechniques that describe past performance and
history.
-Example: Creating a report that includes charts and graphs that explains data.

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