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Business Analytics Overview Knowledge Check Quiz 1 questions with right answers.
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Business Analytics Overview Knowledge Check Quiz 1 questions with right answers.
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Business Analytics Overview KnowledgeCheck Quiz 1 questions with right
answers.
Gigabyte ANS - -1024 megabytes
Terabyte ANS - -1024 gigabytes
Petabyte ANS - -1024 terabytes
Exabyte ANS - -1024 petabytes
Zettabyte ANS - -1024 exabytes
Business Intelligence (BI) ANS - Looking back at what happened and how it happened.
Business Analytics (BA) ANS - Deals with the why's of what happened and intends to try and make
predictions of what might happen.
Data Aggregation ANS - Prior to analysis, data must first be gathered, organized, and filtered, either
through volunteered data or transactional records.
Data Cleansing ANS - The 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 ANS - The level of detail considered in a model or represented in an analysis. The
greater the granularity, the deeper the level of detail.
, Data Mining ANS - For business analytics sorts through large datasets using databases, statistics, and
machine learning to identify trends and establish relationships.
Text Mining ANS - Explores and organizes large, unstructured text datasets for the purpose of
qualitative and quantitative analysis.
Data Visualization ANS - Provides visual representations such as charts and graphs for easy and quick
data analysis.
Descriptive Analytics ANS - Techniques that describe past performance and history.
-Example: Creating a report that includes charts and graphs that explains data.
Predictive Analytics ANS - Techniques that extract information from data and use it to predict future
trends and identify behavioral patterns.
-Example: Using past sales data to predict future sales data.
Prescriptive Analytics ANS - Techniques that create models indicating the best decision to make or
course of action to take.
-Example: Airline using past purchasing data as inputs into a model that recommends the best pricing
strategy across all flights allowing the company to maximize revenue.
Data usually is put into two categories: ANS - -Structured
-Unstructured
Business Analytics does what? ANS - Bridges the gap between data and information.
What data comes before for business analytics? ANS - -Supplier info
-Customer info
-Competitor info
-Economic info
-Industry info
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