Chapter 17 - Exam 3 Flashcards

1
Q

Business Intelligence (BI)

A
  • set of Techniques and Tools
  • transforms raw data into meaningful info
  • used for business Analysis Purposes
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2
Q

Once BI is used to transform data, what uses it?

A

DSS - Decision Support Systems

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3
Q

Describe DSS when there was no Business Intelligence yet

A
  • DSS used by banks to see if start-up businesses would work
  • 1950s
  • internet speed was too slow making data hard to collect (so BI was born)
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4
Q

Big Data

A

social media data, phone records data, internet records data, etc.

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5
Q

4V’s of Big Data?

A

Volume - amount of data collected
Variety - where data all comes from
Veracity - quality of data
Velocity - speed at which data is collected

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6
Q

First step in collecting data?

A

Take inventory (figure out where data is)

  • CRM customer Relational Model
  • ERPs
  • social media
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7
Q

Second Step in collecting data?

A

Figure out how much to collect

-“what questions do i need answered?”

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8
Q

Third Step in Collecting Data?

A

Figure out where to store it

  • Data warehouse
  • Datamarts
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9
Q

Data Warehouses v.s. Datamarts

A

Data Warehouses

  • used by large companies
  • can store yottabytes of data
  • store data in centralized location

Datamarts

  • used by departments of large companies
  • more focused and specific data
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10
Q

Explain the parts of ETL

A

Extract
-pull data from CRMs and ERPs
Transfrom
-“normalize data”
-put data into fields/records of relational database
Load
-put data in Data Warehouses or Datamarts

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11
Q

Disadvantage of ETL?

A

Too slow and takes up too much storage

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12
Q

Who developed Hadoop?

A

Doug Cutting and Mike Cafarella

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13
Q

How did Hadoop get its name?

A

Doug Cutting’s son’s yellow toy elephant

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14
Q

Apache Hadoop?

A
  • Open-source software framework

- written in java

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15
Q

Map Reduce

A

“processing arm” or Search Engine of Hadoop

  • finds data where it resides, queries it, processes query
  • does NOT bring centralized data to user computer
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16
Q

Data Analysis

A
  • applies both logic techniques and statics

- illustrates, defines, and evaluates data

17
Q

Another name for Data Mining is ___

A

Data Discovery

18
Q

Give an example of Topic Analytics being used

A

Customer says “engine valve broke” in customer review

SO

Customer’s review logged under “engine problems” topic by company

19
Q

Going through unstructured text to make connections and identify patterns is ___

A

Text Mining

20
Q

What percentage of Data is Unstructured?

21
Q

What uses identified patterns and connections to predict future trends to give themselves a Competitive Edge?

A

Business Analytics

22
Q

3 Types of Business Analytics

A

Descriptive Analytics
-based on past data
Predictive Analytics
-proactive strategy
-uses data to make predictions about future trends in marketplace
Decision/Prescriptive Analytics
-builds on predictive analytics to make predictions on future marketplace and industry

23
Q

Graphical display of the results of data mining, BI, DSS

A

Data Visualization

24
Q

Two common types of Data Visualization

A
  • Powerpoint

- Dash Boards

25
Most popular Dashboard?
SAP BusinessObjects Dashboard
26
CAO
Chief Analysis Officer | -new position developing in companies today
27
What is the most popular CRM?
Siebel
28
Who owns Siebel?
Oracle
29
Why were Dow Jones and Verizon able to be hacked?
Default Settings on Cloud were unknowingly altered