Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Fundamentals of Analytics > Module 1 > Flashcards

Module 1 Flashcards

Data Value Chain, Analytics Discipline, Analytics Profession, Decision Support System

1
Q

They are conceivable as the new
resource in this digital world.

A

Data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

The process of
refinement of data

A

Analytics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Complete process of creating, collecting, processing, analyzing, and extracting value from data within an organization.

A

Data Value Chain

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Data creation fundamentally relies on

A

Human Involvement

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How is data gathered and kept?

A

Data is systematically collected and
securely stored within a myriad of applications
employed by diverse organizations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

It involves the extraction and consolidation of data

A

Information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Where is information stored

A

into a single repository

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

The process which the data becomes
information involves:

A

Data Cleaning
Data Categorization
Data Transformation
Data Aggregation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Once the process is done what does data become?

A

Information

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

It involves finding patterns and trends.

A

Insights

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Information enables organizations to answer the
question:

A

What happened?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

This consolidated information in a single repository, organizations can now uncover patterns to address key questions:

A

Why did it happen?
What is likely to happen next?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

It involves translating the analyzed data into practical imperatives and recommendations for future actions.

A

Imperatives

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Empowered by insights, organizations can now take decisive actions informed by analyzed data in which addresses a pivotal question:

A

What steps should be taken next?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Policies for quality and compliance.

A

Data Governance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

End-to-end oversight of data processes.

A

Data Management

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Safeguarding data from unauthorized access.

A

Data Security

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Responsible and ethical data handling.

A

Data Ethics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Building data systems.

A

Data Engineering

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

Managing structured data.

A

Data Warehousing.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

Designing data systems.

A

Data Architecture

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

Extracting insights for decisions.

A

Business Intelligence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
23
Q

Responsible for summarizing
historical data.

A

Descriptive Analytics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
24
Q

Extracting insights.

A

Data Mining

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
25
Q

Processing Data Steps

A

Algorithms

26
Q

Learn and improve form experience

A

Machine Learning

27
Q

Responsible for analyzing data why
an event occurred.

A

Diagnostic Analytics

28
Q

Responsible for identifying future
events based on historical data.

A

Predictive Analytics

29
Q

Enhancing efficiency.

A

Optimization

30
Q

Modeling real-world scenarios.

A

Simulation

31
Q

Responsible for recommending
actions derived from descriptive and predictive analysis.

A

Prescriptive Analytics

32
Q

Disciplines Under Data

A
  • Data Governance
  • Data Management
  • Data Security
  • Data Ethics
33
Q

Disciplines under Information

A
  • Data Engineering
  • Data Warehousing
  • Data Architecture
  • Business Intelligence
34
Q

Disciplines under Insights

A
  • Data Mining
  • Algorithms
  • Machine Learning
35
Q

Disciplines under Imperatives

A
  • Optimization
  • Simulation
36
Q

Data Steward responsibilities:

A
  • Develop
  • Enforce
  • Maintain
37
Q

Data Stewards are involved in

A

Data Security and Data Usage

37
Q

Also called as Data Gate Keepers

A

Data Stewards

38
Q

Data Engineer responsibilities

A
  • Design
  • Construct
  • Test
  • Maintain
39
Q

Data Engineers are involved with

A

ETL (Extract,
Transform, Load).

40
Q

They also work in Data Repositories

A

Data Engineers

41
Q

Data Scientist responsibilities

A
  • Statistical Techniques,
  • Create Statistical Models
42
Q

Data Scientists are involved with

A

Applying Trends, Patterns (Current & Historical) to make Data-Driven Prediction.

43
Q

Functional Analyst responsibilities

A
  • Utilized Data
  • Leveraging Derived Insights
43
Q

What do functional analysts do?

A

They also validate
the insights of Data Scientist.

44
Q

They are responsible for crafting the
definitive prescriptions that outline the
necessary actions for their clients or
stakeholders.

A

Functional Analyst

45
Q

Analytics Manager responsibilities

A
  • Develop
  • Guide Data-Driven Projects
46
Q

Analytics Manager’s job includes heavily with

A

Project Management – which includes the Initiation, Planning, Execution, Monitoring
and Closure.

47
Q

They bring the
team together to ensure a successful
deliver of the project.

A

Analytics Manager

47
Q

Analytics helps organizations to

A

provide data-driven
decisions.

47
Q

What is Analytics called?

A

Decision Support System

48
Q

Decision Support Systems systematically allow the business to have a

A

Data Value Chain

49
Q

T or F

In the end, the end user has the final say whether to
act upon them or not.

A

True

50
Q

T or F

Analytics are only used as a
tool for giving options

A

True

51
Q

T or F

Analytics are only used as a
tool for giving commands to make
decisions.

A

False

52
Q

Also used to drive digital process such as smart
appliances, self-driving cars, manufacturing.

A

Analytics

53
Q

Data Engineers Related Jobs:

A
  • ETL Developer
  • Data Architect
  • Data Warehousing Professional
  • Big Data Engineer
54
Q

Data Scientist Related Jobs:

A
  • Statistician
  • Statistical Modeler
  • Advanced Analytics Professional
55
Q

Functional Analyst Related Jobs:

A
  • Research Analyst
  • Human Resource Analyst
  • Marketing Analyst
  • Financial Analyst
  • Operations Analyst
56
Q

Analytics Managers Related Jobs:

A
  • Chief Data Officer
  • Project Manager
  • Data Engineering Manger
  • Data Science Manager
  • Analytics Translator

Fundamentals of Analytics (3 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions