Chapter 1: Data Analytics

Question 1

Data Analytics

What are the key technologies of big data?

Answer 1

• Data mining
• Text mining: Analyzes text-based data from websites, comment fields, books
• Data management
• In-memory analytics
• Predictive analytics
• Hadoop: a third-party provider that stores large amounts of data

Question 2

Data Analytics

What is data mining?

Answer 2

• Data mining drills down the data to remove any repetitive patterns
• It then finds data that has unexpected data to find any issues (i.e. fraudulent transactions,correaltions of unrelated data, etc.)

Question 3

Data Analytics

What is in-memory analytics?

Answer 3

• In-memory analytics uses data that is used from system memory instead of the hard drives
• This is because the data that is in the system can be backed-up on a regular basis, while hard drives may have data that is not saved onto the system, but on the computers C: drive

Question 4

Data Analytics

What is Diagnostic Analysis?

Answer 4

• What happened that caused the results to occur?
• Uses historical information to provide insight

Question 5

Data Analytics

What is Descriptive Analytics?

Answer 5

• What Happened?
• The most basic and commonly used analytic
• Reports on actual results from historical information

Question 6

Data Analytics

What are the different types of descriptive analytics?

Answer 6

• Anomoly detection
• Regression analysis
• Reviewing the relationship and trends from historical information to find out why trends happen

Question 7

Data analtyics

Why is anomaly detection considered a component of descriptive analysis?

Answer 7

Once all of the historical data mining, extraction and cleaning has been done, the data is the reviewed and analyzed to determine if there are any unusual patters or deviations from the expected results

Question 8

Data Analytics

What is Predictive Analytics?

Answer 8

• What will happen next?
• What is the expected outcome of the result?
• Predictive analytics is based on future results
• Predictive Analytics applies assumptions of data from various technology sources to find different outcomes from future events

Question 9

Data Analytics

What types of technology can be used in predictive analysis?

Answer 9

• Data mining
• Statistical algorythms
• Machine-learning techniques
• Predictive modeling to cluster analysis groups of data with similar characteristics

Question 10

Data Analytics

What is Prescriptive Analysis?

Answer 10

• What should be done in the future in order for the results to occur?
• Based on future results, not historical information
• It is the most complex analysis because it uses all of the analysis tools, diagnostic, descriptive and predictive analytics to improve business strategy
• Provides the most data inputs

Question 11

Data Analytics

What is ranking of data size?

Answer 11

“Kim Met Gene To Purchase Extra Zebra Yarn”
* Kilobyte
* Megabyte
* Gigabyte
* Terabyte
* Petabyte
* Exabyte
* Zettabyte
* Yottabyte

Question 12

Implementing Data Analytics

What are the five stages of data analytics?

Answer 12

• Define business questions to determine the goals and objectives that need to be obtained
• Obtain relevant data through information discovery
• Clean/scrub/normalize data
• Analyze data to derive values
• Communicate results including information used, conclusions and recommendations

Question 13

Data Visualization

When would a pie chart be used?

Answer 13

Pie charts are used to show relative proportions of a specific period

Question 14

Data Visualization

When would a scatter-plot chart be used?

Answer 14

Scatter plots are used to show the relationship between two variables

Question 15

Data Visualization

When would a line chart be used?

Answer 15

• Line charts are used to show trends, cyle or variability over time
• They are similar to bar graphs, but they are dots instead of bar height

Question 16

Data Visualization

When would a stack-bar graph be used?

Answer 16

Stacked bar graphs are used to show the comparison in a item and changes of components over time

Question 17

Data Visualization

When would a bubble chart be used?

Answer 17

• Bubble charts are similiar to scatter plots
• They include a third variable that is shown as the size in data points

Question 18

Data Visualization

When would a dot-map chart be used?

Answer 18

Dot maps are used to summarize the density of the data

Question 19

Data Visualization

When would a historgram be used?

Answer 19

Histograms are used to summarize the distribution of data

Question 20

Data Visualization

When will a table chart be used?

Answer 20

Tables are used to present the data as close to the original form, as well as including the details of the data

Question 21

Data Visualization

When would a treemap be used?

Answer 21

• Treemaps are based on rectangles of different colors and sizes.
• The colors represent the category of data and the size reports the value

Question 22

Data Visualization

When would a fishbone diagram be used?

Answer 22

• Fishbone diagram is known as the cause and effect diagram
• It organizes the analysis of the causes and helps identify their possible interactions

Question 23

Data Visualization

When would a stastical control chart be used?

Answer 23

A statistical control chart provides more visibility to trends and cycles that outside of the control area