Exam 11: Analytics and Its Implications

The goal of data mining related to analyzing data for unexpected relationships is:

One of the best known uses of data analytics in business is:

When online analytical processing (OLAP) studies last year's sales, this represents:

Customers leave clues about their preferences when navigating a company's Web site.

Companies learn a lot about customers because they leave clues in all of the following ways EXCEPT:

________ are examples of Business Intelligences and Analytics 3.0 because they have millions of observations per second.

Discuss some of the technologies enabling infrastructure advances in data management

________ is arguably the most common concern by individuals regarding big data analytics.

Using data to predict events is an example of predictive analytics.

All of the following are categorizations of human activity affected by big data analytics EXCEPT:

Application of statistical and computational methods to predict data events is:

________ are not used for querying and analyzing data stored in data warehouses.

Many developing countries are using advanced applications of analytics to utilize data collected from mobile devices.

Analytics are typically divided into three major categories (i.e. descriptive analytics). Describe each category and provide an example question that each category would address.

One major source of data for analytics is:

Smartphones can produce millions of observations per second making them Business Intelligence and Analytics 3.0.

First-degree or complete price discrimination relates to:

Allowing users to dive deeper into the view of data with online analytical processing (OLAP) is an important part of:

The applications of analytics are not just limited to business but extend to a wide-array of human activity.

Descriptive, predictive, and ________ are the three main types of analytics.