HW 1 Ch 1

Another name for predictive and prescriptive analytics is a___ analytics.

advanced

Managers can use d___ d___ to monitor various metrics of a company performance.

data dashboards

From point-of-sales data, stores can use d___ m___ to predict which customers are likely to respond to discounts on certain items.

data mining

You can use request information from a database like Microsoft access by conducting d____ q____.

data queries

Many companies are searching for d___ s___ who know how to effectively process and analyze big data from being trained in both computer science and statistics.

data scientists

For each application given, select the most appropriate of the three areas of analytics: A sales manager receives weekly reports to keep tab on the performance of difference regions.

descriptive analytics

For each application given, select the most appropriate of the three areas of analytics: With Google Analytics, you can keep track of various metrics of your webpage such as screenviews, pages per session, and average session duration.

descriptive analytics

H___ supports big data processing through storing and processing the data on clusters of computers.

hadoop

The computer that won the game J___ will be used to help diagnose and select treatment plans for patients at Memorial Sloan-Kettering Cancer Center.

jeopardy

Sports analytics became more popular after publication of the book, M___ , which tells story of using analytics to evaluate players in baseball.

moneyball

The models that give the best decision subject to constraints of the situation are called o___ models.

optimization

For each application given, select the most appropriate of the three areas of analytics: Netflix uses your rating of movies and the ratings of movies by other users like you to guess and recommend movies you might like.

predictive analytics

For each application given, select the most appropriate of the three areas of analytics: President Trump's 2016 campaign hired Cambridge Analytics that used Facebook profiles of voters to predict the voters' personality. This helped them customize the ads to fit each voter's personality.

predictive analytics

For each application given, select the most appropriate of the three areas of analytics: Some universities predict which students are at risk of dropping out in order to intervened assist in the hope of retaining them.

predictive analytics

For each application given, select the most appropriate of the three areas of analytics: Target wants to predict which customer is likely to be pregnant based on the customer purchase patterns.

predictive analytics

For each application given, select the most appropriate of the three areas of analytics: Airlines attempt to price the seats on the flights so as to maximize the total revenue from them.

prescriptive analytics

For each application given, select the most appropriate of the three areas of analytics: IBM decides how to allocate sales teams to each territory with the objective of maximizing overall revenue.

prescriptive analytics

For each application given, select the most appropriate of the three areas of analytics: The On-Road Integrated Optimization and Navigation (ORION) system at UPS saves fuel and driver time by suggesting the best routes its drivers can take in their delivery schedule.

prescriptive analytics

Organizations often use s___ to assess risk. Some examples are banks stress-testing financial models, real estate investment companies assessing commercial real estate risk, and pharmaceutical companies assessing the risk of introducing a new drug.

simulations

For each statement, choose the most relevant of Big Data's 4 V's: Much of the data available now are unstructured and not in a neat table format. Examples are tweets, photos, and videos

variety

For each statement, choose the most relevant of Big Data's 4 V's: Real-time streaming data is difficult to store and analyze in a timely manner for decision making

velocity

For each statement, choose the most relevant of Big Data's 4 V's: Cleaning data can take up to 80% of an analytics project because much of the available data are incomplete, inconsistent, and/or unreliable.

veracity

For each statement, choose the most relevant of Big Data's 4 V's: It is estimated that 2.5 quintillion (2,500,000,000,000,000,000) bytes of data are created each day

volume

For each statement, choose the most relevant of Big Data's 4 V's: Most companies in the U.S. have at least 100terabytes (100,000,000,000,000) of data stored

volume