Exam 1: An Overview of Business Intelligence,analytics,and Data Science

Business intelligence (BI)is a specific term that describes architectures and tools only.

How does Amazon.com use predictive analytics to respond to product searches by the customer?

________ analytics help managers understand current events in the organization including causes,trends,and patterns.

Which of the following is NOT an example of transaction processing?

Online transaction processing (OLTP)systems handle a company's routine ongoing business.In contrast,a data warehouse is typically

________ cycle times are now extremely compressed,faster,and more informed across industries.

In the Opening Vignette on Sports Analytics,what was adjusted to drive one-time ticket sales?

Organizations using BI systems are typically seeking to ________ the gap between the operational data and strategic objectives has become more pressing.

Describe and define Big Data.Why is a search engine a Big Data application?

Major commercial business intelligence (BI)products and services were well established in the early 1970s.

The programing algorithm developed by Google to handle Big Data computational challenges is known as ________.

Different types of players are identified and described in the analytics ________.

Data warehouses are intended to work with informational data used for online ________ processing systems.

Due to industry consolidation,the analytics ecosystem consists of only a handful of players across several functional areas.

Today,many vendors offer diversified tools,some of which are completely preprogrammed (called shells).How are these shells utilized?

The use of statistics in baseball by the Oakland Athletics,as described in the Moneyball case study,is an example of the effectiveness of prescriptive analytics.

List and describe three levels or categories of analytics that are most often viewed as sequential and independent,but also occasionally seen as overlapping.

During the early days of analytics,data was often obtained from the domain experts using manual processes to build mathematical or knowledge-based models.

The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system?

How are enterprise resources planning (ERP)systems related to supply chain management (SCM)systems?