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

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2
Q

The process of
refinement of data

A

Analytics

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3
Q

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

A

Data Value Chain

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4
Q

Data creation fundamentally relies on

A

Human Involvement

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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.

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6
Q

It involves the extraction and consolidation of data

A

Information

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7
Q

Where is information stored

A

into a single repository

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8
Q

The process which the data becomes
information involves:

A

Data Cleaning
Data Categorization
Data Transformation
Data Aggregation

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9
Q

Once the process is done what does data become?

A

Information

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10
Q

It involves finding patterns and trends.

A

Insights

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11
Q

Information enables organizations to answer the
question:

A

What happened?

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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?

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13
Q

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

A

Imperatives

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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?

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15
Q

Policies for quality and compliance.

A

Data Governance

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16
Q

End-to-end oversight of data processes.

A

Data Management

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17
Q

Safeguarding data from unauthorized access.

A

Data Security

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18
Q

Responsible and ethical data handling.

A

Data Ethics

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19
Q

Building data systems.

A

Data Engineering

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20
Q

Managing structured data.

A

Data Warehousing.

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21
Q

Designing data systems.

A

Data Architecture

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22
Q

Extracting insights for decisions.

A

Business Intelligence

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23
Q

Responsible for summarizing
historical data.

A

Descriptive Analytics

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24
Q

Extracting insights.

A

Data Mining

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25
Processing Data Steps
Algorithms
26
Learn and improve form experience
Machine Learning
27
Responsible for analyzing data why an event occurred.
Diagnostic Analytics
28
Responsible for identifying future events based on historical data.
Predictive Analytics
29
Enhancing efficiency.
Optimization
30
Modeling real-world scenarios.
Simulation
31
Responsible for recommending actions derived from descriptive and predictive analysis.
Prescriptive Analytics
32
Disciplines Under Data
* Data Governance * Data Management * Data Security * Data Ethics
33
Disciplines under Information
* Data Engineering * Data Warehousing * Data Architecture * Business Intelligence
34
Disciplines under Insights
* Data Mining * Algorithms * Machine Learning
35
Disciplines under Imperatives
* Optimization * Simulation
36
Data Steward responsibilities:
* Develop * Enforce * Maintain
37
Data Stewards are involved in
Data Security and Data Usage
37
Also called as Data Gate Keepers
Data Stewards
38
Data Engineer responsibilities
* Design * Construct * Test * Maintain
39
Data Engineers are involved with
ETL (Extract, Transform, Load).
40
They also work in Data Repositories
Data Engineers
41
Data Scientist responsibilities
* Statistical Techniques, * Create Statistical Models
42
Data Scientists are involved with
Applying Trends, Patterns (Current & Historical) to make Data-Driven Prediction.
43
Functional Analyst responsibilities
* Utilized Data * Leveraging Derived Insights
43
What do functional analysts do?
They also validate the insights of Data Scientist.
44
They are responsible for crafting the definitive prescriptions that outline the necessary actions for their clients or stakeholders.
Functional Analyst
45
Analytics Manager responsibilities
* Develop * Guide Data-Driven Projects
46
Analytics Manager's job includes heavily with
Project Management – which includes the Initiation, Planning, Execution, Monitoring and Closure.
47
They bring the team together to ensure a successful deliver of the project.
Analytics Manager
47
Analytics helps organizations to
provide data-driven decisions.
47
What is Analytics called?
Decision Support System
48
Decision Support Systems systematically allow the business to have a
Data Value Chain
49
T or F In the end, the end user has the final say whether to act upon them or not.
True
50
T or F Analytics are only used as a tool for giving options
True
51
T or F Analytics are only used as a tool for giving commands to make decisions.
False
52
Also used to drive digital process such as smart appliances, self-driving cars, manufacturing.
Analytics
53
Data Engineers Related Jobs:
* ETL Developer * Data Architect * Data Warehousing Professional * Big Data Engineer
54
Data Scientist Related Jobs:
* Statistician * Statistical Modeler * Advanced Analytics Professional
55
Functional Analyst Related Jobs:
* Research Analyst * Human Resource Analyst * Marketing Analyst * Financial Analyst * Operations Analyst
56
Analytics Managers Related Jobs:
* Chief Data Officer * Project Manager * Data Engineering Manger * Data Science Manager * Analytics Translator