Lecture 1 Flashcards

1
Q

What does EEE stand for?

A

Exposure, Experience, Exploration

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2
Q

Entire industry can employ analytics to?

A

Develop reports on what is happening
Predict what is likely to happen
Make decisions to make the best use of the situation at hand

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3
Q

Computer applications have moved from transaction processing and monitoring activities to?

A

Problem analysis and solution applications

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4
Q

Changing Business Environments and Evolving Needs for Decision Support and Analytics?

A

Increased hardware, software , and network capabilities
Group Communication and collaboration
Improved data management
Managing giant data warehouses and Big Data
Analytical support

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5
Q

Framework for Business Intelligence?

A

DSS -> EIS -> BI

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6
Q

Definition of Business Intelligence?

A

Descriptive analytics tools and techniques

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7
Q

OLTP?

A

Online Transaction Processing

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8
Q

Online Transaction Processing

A

Operational databases
ERP, SCM, CRM
Goal: data capture

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9
Q

OLAP?

A

Online Analytical Processing

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10
Q

Online Analytical Processing?

A

Data warehouses

Goal: decision support

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11
Q

Definition of analytics?

A

The process of developing actionable decisions or recommendations for actions based on insights generated from historical data

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12
Q

Descriptive Analytics?

A
  • Descriptive or reporting analytics
  • Answering the question of what happened
  • Retrospective analysis of historic data
  • Enablers
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13
Q

What are Enablers in Descriptive Analytics?

A

OLAP / DW
Data visualization
Descriptive statistics

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14
Q

Predictive Analytics?

A

Aims to determine what is likely to happen in the future
Looking at the past data to predict the future
Enablers

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15
Q

What are Enablers in Predictive Analytics?

A

Data mining
Text mining
Forecasting

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16
Q

Prescriptive Analytics?

A

Aims to determine the best possible decision
Uses both descriptive and predictive to create the alternatives, and then determines the best one
Has enablers

17
Q

Enablers of Prescriptive Analytics?

A

Optimization
Simulation
Multi-Criteria Decision Modelling
Heuristic Programming

18
Q

What is Big Data?

A

Big Data is that cannot be stored or processed easily using traditional tools/means

19
Q

What does Big Data refer to?

A

Data that comes in many different forms: large, structured, unstructured, continouos

20
Q

3Vs?

A

Volume
Variety
Velocity

21
Q

Data is worthless if?

A

It does not provide business value

22
Q

What does ETL stand for?

A

Extract, Transform, Load
three database functions that are combined into one tool to pull data out of one database and place it into another database

23
Q

What is data warehouse?

A

Collection of integrated subject-oriented databases designed to support Decision Support System functions

24
Q

What is multidimensional database?

A

Type of database that is optimized for data warehouse and online analytical processing applications

25
Q

What is Data Mining?

A

Supports knowledge discovery by finding hidden patterns and associations, constructing analytical models, performing classification and prediction

26
Q

What is Business Intelligence? (BI)

A

Technology driven process for analyzing data and presenting actionable information