Question 1

Predictive analysis focuses on future-oriented, potential behaviors as opposed to merely classifying past behaviors.

Accepted Answer

Predictive analysis uses historical data to make informed predictions about future events, trends, or behaviors, rather than just analyzing or classifying past data.

Question 2

Even if all data integration issues are addressed, the problem that remains for most companies when it comes to integrated data is:

Accepted Answer

Even with integrated data, companies often struggle to extract meaningful insights due to the complexity and volume of data, requiring advanced analytics and data science techniques.

Question 3

Voice of the Customer (VOC) data______________are largely______________social media posts.

Accepted Answer

The answer of Voice of the Customer (VOC) data______________are largely______________social...

Question 4

One way of understanding structured data is as filling rows of data on a spreadsheet.

Accepted Answer

Structured data is organized in a tabular format with rows and columns, similar to how data is arranged in a spreadsheet.

Question 5

Data mining is a descriptive analysis technique used for finding nonlinear patterns in the data

Accepted Answer

Data mining is a descriptive analysis technique used for finding patterns in the data, but it is not limited to finding nonlinear patterns.

Question 6

Social network analysis studies social connections where the leader in a network is a______________and the multiple followers are nodes on the______________.

Accepted Answer

The answer of Social network analysis studies social connections where...

Question 7

Starbucks creating over 800 "geofences" in the UK to send geotargeted text messages to customers is an example of using of mobile data.

Accepted Answer

The answer of Starbucks creating over 800 "geofences" in the...

Question 8

Firms investing in the capture, storage and analysis of large and varied data sets are forward-looking and cutting edge.

Accepted Answer

Investing in big data technologies allows firms to leverage insights for strategic decision-making, innovation, and maintaining a competitive edge, which are characteristics of forward-looking and cutting-edge companies.

Question 9

It is generally accepted that Big Data is three-dimensional.

Accepted Answer

The three dimensions of Big Data are commonly referred to as the "3 Vs": Volume, Velocity, and Variety.

Question 10

One of the key challenges of Big Data integration is the ability to merge unstructured and structured data.

Accepted Answer

Merging unstructured and structured data is challenging due to differences in data formats, storage, and processing requirements.

Question 11

The sources of Big Data are not highly variable.

Accepted Answer

Big Data sources are highly variable, including structured, semi-structured, and unstructured data from various origins like social media, sensors, and transactional systems.

Question 12

The______________dimension of Big Data is considered the most challenging of all.

Accepted Answer

The answer of The______________dimension of Big Data is considered the...

Question 13

Data in one context that is linked to data in another context, and another and another, such as Apple does to get a 360-degree view of customer purchasing is an example of______________-______________data.

Accepted Answer

The answer of Data in one context that is linked...

Question 14

Define Big Data and describe the framework for understanding its key elements, the three "Vs", explaining what each of the "Vs" represents.

Accepted Answer

The answer of Define Big Data and describe the framework...

Question 15

Barcode transaction data captured at a grocer's cash register is an example of unstructured data.

Accepted Answer

Barcode transaction data is structured data because it is organized in a predefined format, typically in databases, with specific fields like product ID, price, and quantity.

Quiz 6: Decision Support Systems Working With Big Data