Exam 8: Understanding Big Data and Its Impact on Business

Which of the following use a variety of techniques to find patterns and relationships in large volumes of information that predict future behavior and guide decision making?

Regression is a statement about what will happen or might happen in the future such as future sales or employee turnover.

Web mining analysis describes technologies that allow users to see, or visualize, data to transform information into a business perspective.

What are the two main objectives associated with data mining?

What is the process of analyzing recorded calls to gather information that-brings structure to customer interactions and exposes information buried in customer contact center interactions with an enterprise?

Which of the following is not a common form of data mining analysis?

Classification assigns records to one of a predefined set of classes.

Distributed computing processes and manages algorithms across many machines in a computing environment.

What are forecasts?

Classification segments a heterogeneous population of more homogeneous subgroups.

What is estimation?

What is a data artist?

In terms of big data, what is variety?

A data miner is a business analytics specialist who uses visual tools to help people understand complex data.

Time-series information is time-stamped information collected at a particular frequency.

Which of the following reveals the relationship between variables along with the nature and frequency of the relationship?

What analyzes unstructured data to find trends and patterns in words and sentences?

What tracks corporate metrics such as critical success factors and key performance indicators and includes advanced capabilities such as interactive controls allowing users to manipulate data for analysis?

Speech analytics is heavily used in the customer service department to help improve processes by identifying angry customers and routing them to the appropriate customer service representative.

What is the application of big data analytics to smaller data sets in near-real or real-time in order to solve a problem or create business value?