Module 5

Question 1

The Data Management Process

Answer 1

process of acquiring data, making sure that the data are valid, and then storing and processing the data into usable information for a business.

Question 2

Master Data Management (MDM)

Answer 2

Methodology or process to define, organize, and manage all the data of an organization that provides a reference for decision makign

Question 3

Data Governance

Answer 3

Managing the availability, integrity, and security of the data to ensure that the data remain high quality and valid for data analytics.

Question 4

Online Analytical Processing (OLAP)

Answer 4

end users can submit queries against the database to gain insight into data relations such as trend analysis and also to create data models

Question 5

Predictive analytics

Answer 5

uses both new and historical data to forecast activity, behavior and trends.

Question 6

Business Intelligence

Answer 6

set of software and services that turn data into information that helps leaders in an organization make wise decisions.

Question 7

Data Analysis

Answer 7

applying statistics and logic to techniques to define, illustrate, and evaluate data.

Question 8

Data mining

Answer 8

read and sort through a large amount of data and look for patterns, trends, and relationships to help predict future trends.

Question 9

Topic analytics

Answer 9

enables you to sift through large sets of data and indentify the most common and important topics in an easy, dast, and scaleable way.

Question 10

Text analytics

Answer 10

extracting info from written sources

Question 11

Business Analytics

Answer 11

attempts to make connections between data so organizations can try to predict future trends.

Question 12

Descriptive analytics

Answer 12

baseline that other types of analytics are built on.

Question 13

Predictive analytics

Answer 13

attempts to reveal future patterns in a marketplace

Question 14

Decision analytics

Answer 14

builds on predictive analysis to make decisions about future industries

Question 15

Eight challenges of data analytics and process management

Answer 15

1. Vast amount of data that are collected
2. Determining what is meaningful and what is not
3. Data from multiple sources
4. Accessibility
5. Budgets
6. Lack of Skills
7. Presentation of information
8. Security and Privacy

Question 16

Three Levels of Security

Answer 16

1. Data level security - implement processes to protect the actual data from getting stolen or tempered with
2. System level security - protecting the hardware from malicious software
3. User level security - log in IDs and passwords