chapter seventeen Flashcards

1
Q

Business Intelligence

A

an assortment of software applications used to analyze an organization’s raw data

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2
Q

data

A

raw, unorganized facts

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3
Q

information

A

processed data that means something

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4
Q

ROI

A

return on investment

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5
Q

you want to use data in a _____ way

A

predictive

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6
Q

Decision Support Systems (DSS)

A

computer-based systems that support an organization’s decision-making activities

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7
Q

Big Data

A

smartphone metadata, Internet usage records, social media activity, computer usage records, and countless other data sources

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8
Q

Structured Data

A

resides in fixed formats
well labeled
standard format, recognizable patterns

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9
Q

Unstructured Data

A

disorganized data that cannot be easily read or processed by a computer because it is not stored in rows and columns

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10
Q

What percent of data is unstructured?

A

80%

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11
Q

semi-structured data

A

lands somewhere in-between structured and unstructured data and can possibly converted into structured data

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12
Q

what are the four Vs of Big Data?

A

volume, velocity, variety, and varacity

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13
Q

volume

A

the sheer quantity of data

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14
Q

velocity

A

the speed to gather and process all of the data

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15
Q

variety

A

what kind of data

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16
Q

veracity

A

is the data collected any good?

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17
Q

what’s the first step of collecting internal data?

A

take inventory of data-> who or what makes it

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18
Q

Customer Relationship Management (CRM)

A

contains information about an organization’s sales, marketing, customer service records, etc.

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19
Q

Marketing Automation Services

A

data resides in this system that has endless customer facts and figures

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20
Q

Social Media Platforms

A

can uncover what your customers are thinking

21
Q

what percent of data is unstructured?

22
Q

jeopardy

A

doesn’t ask its contestants to provide answers, it asks for the questions
DECIDE HOW MUCH DATA

23
Q

data warehouses

A

where an organization stores and consolidates data in a central location

24
Q

it is not unusual for data warehouses to hold ______ of data

A

yottabytes

25
datamart
smaller organizations use this smaller, more focused data warehouse (cheaper, but limit the complexity of databases)
26
Extract, Transform, and Load (ETL)
used to standardize data across systems that allow it to be queried
27
querying
ask data questions->answers->decisions
28
ETL must happen in order
extract data, transform to fit in data warehouse, load the data into warehouse
29
where does data typically reside?
Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP)
30
what is one of the ERPs main function?
centralize an organization's data so that it ends up being a wealth of data with value across the organization
31
normalizing data
data is typically organized into the fields and records of a relational database->STANDARDIZED FORMAT
32
load
the more often this is done, the more up-to-date analytic reports are possible
33
ETL can eat ______ and _______
bandwidth and storage at an alarming rate and size
34
hadoop
an infrastructure for storing and processing large sets of data across multiple servers
35
what animal is Hadoop?
a toy elephant owned by Doug cuttings son
36
Hadoop is best for...
large companies that have data scientists to run it
37
if ETL brings the mountain to mohammed, then Hadoop...
brings mohammed to the mountain
38
map reduce
the processing arm, or engine of Hadoop | saves bandwidth
39
what does map reduce do?
allows data to be queried and processed directly on the server where it lives, instead of moving the data across the network to be analyzed on the compute
40
data analysis
make sense of an organizations's collected data and turn it into useful information
41
data mining/data discovery
identify outliers
42
topic analytics
catalog phrases of feedback to relevant topics
43
text analytics/text mining
hunts through unstructured text data to look for useful patterns
44
business analytics
attempts to make connections between data so organization's can try to predict future trends that may give them a competitive advantage
45
descriptive analytics
defines past data so that it can be grouped
46
predictive analytics
attempts to reveal future patterns
47
decision analytics
looks at an organization's internal data and then analyzes external conditions to endorse a best course of action
48
data visualization
graphic display of the results of data mining and analytics
49
dashboards
easy-to-use graphical interfaces that characterize specific data analysis through visualization