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Lesson 1 - Business Analytics
37問 • 11ヶ月前
  • Vaneza Santiago
    • 通報

    問題一覧

  • 1

    use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about their business operations and make better, fact-based decisions

    business analytics

  • 2

    a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving.

    business analytics

  • 3

    supported by various tools such as Microsoft Excel and various Excel add-ins, commercial statistical software packages such as SAS or Minitab, and more complex business intelligence suites that integrate data with analytical software

    business analytics

  • 4

    __________use analytics to predict and prevent credit fraud.

    leading banks

  • 5

    use analytics for production planning, purchasing, and inventory management.

    manufacturers

  • 6

    use analytics to recommend products to customers and optimize marketing promotions.

    retailers

  • 7

    use it to get life-saving drugs to market more quickly.

    pharmaceutical firms

  • 8

    use analytics to analyze historical sales data, understand customer behavior, improve Web site design, and optimize schedules and bookings.

    leisure and vacations industries

  • 9

    use analytics to dynamically set prices over time to maximize revenue

    airlines and hotels

  • 10

    are using business analytics to determine both game strategy and optimal ticket prices

    sport teams

  • 11

    ENUMERATION: small letters only give me 4 - p,m,c,l - ganyan layout hehe What are the common types of decisions that can be enhanced by using analytics?

    pricing,merchandising,customer segmentation,location

  • 12

    TRUE OR FALSE the modern evolution of analytics began with the introduction of computers in the late 1940s and their development through the 1960s and beyond.

    true

  • 13

    Modern computers provided the ability to store and analyze data in ways that were either very difficult or impossible to do so manually.

    false

  • 14

    This facilitated the collection, management, analysis, and reporting of data,

    business intelligence

  • 15

    The term business analytics coned by _____ in 1958 an IBM researcher

    Hans Peter Luhn

  • 16

    Select the 3 basic questions in business intelligence

    How many units did we sell last month?”, What products did customers buy and how much did they spend?”, How many credit card transactions were completed yesterday?”

  • 17

    What is the evolution of the modern discipline of BUSINESS INTELLIGENCE?

    information systems

  • 18

    it been recognized as an important element of business, driven to a large extent by the massive growth of data in today’s world.

    statistic

  • 19

    the basic tools of description, exploration, estimation, and inference, as well as more advanced techniques like regression, forecasting, and data mining.

    statistical methods

  • 20

    was born from efforts to improve military operations prior to and during World War II.

    operation research

  • 21

    is the leading professional society devoted to OR/MS and analytics, and publishes a bimonthly magazine called Analytics

    informs

  • 22

    What is the meaning of INFORMS?

    Institute for Operations Research and the Management Sciences

  • 23

    began to evolve in the 1960s by combining business intelligence concepts with OR/MS models to create analytical-based computer systems to support decision making.

    Decision support systems

  • 24

    What are the tree components of decision support systems?

    data management l, model management, communication system

  • 25

    It's used for storing data and allows the user to input, retrieve, update, and manipulate data.

    data management

  • 26

    consists of various statistical tools and management science models and allows the user to easily build, manipulate, analyze, and solve models.

    model management

  • 27

    provides the interface necessary for the user to interact with the data and model management components

    communication systems

  • 28

    summarizes data into meaningful charts and reports, for example, about budgets, sales, revenues, or cost.

    descriptive analytics

  • 29

    It's typically answers, “How much did we sell in this region”, “What was our revenue and profit last quarter.”

    descriptive analytics

  • 30

    seeks to predict the future by examining historical data, detecting patterns or relationships in these data, and then extrapolating these relationships forward in time.

    predictive analytics

  • 31

    helps to answer questions such as “What will happen if demand falls by 10% or if supplier prices go up 5%?” “What do we expect to pay for fuel over the next several months?” “What is the risk of losing money in a new business venture?”

    predictive analytics

  • 32

    Select the 5 variety of tools used to support business analytics

    dashboards, data visualizations, statistical methods, simulation, forecasting

  • 33

    addresses questions such as “How much should we produce to maximize profit?” “What is the best way of shipping goods from our factories to minimize costs?” “Should we change our plans if a natural disaster closes a supplier’s factory: if so, by how much?”

    prescriptive analytics

  • 34

    What are the 3 example of DECISION SUPPORT SYSTEMS (DSS)

    GPS route planning, crop planning tools, Medical diagnosis software

  • 35

    WHAT KIND OF ANALYTICS for example, review business performance to find problems or areas of opportunity, and identify patterns and trends in data

    descriptive analytics

  • 36

    For example, a marketer might wish to predict the response of different customer segments to an advertising campaign, a commodities trader might wish to predict short-term movements in commodities prices, or a skiwear manufacturer might want to predict next season’s demand for skiwear of a specific color and size.

    predictive analytics

  • 37

    For example, we may determine the best pricing and advertising strategy to maximize revenue, the optimal amount of cash to store in ATMs, or the best mix of investments in a retirement portfolio to manage risk.

    prescriptive analytics

    • P. E FINALS

    P. E FINALS

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    P. E FINALS

    P. E FINALS

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    ETHICS PRELIMS

    ETHICS PRELIMS

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    ETHICS PRELIMS

    ETHICS PRELIMS

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    FINANCE

    FINANCE

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    FINANCE

    FINANCE

    76問 • 1年前
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    ENTREP PLACEMENT EXAM

    ENTREP PLACEMENT EXAM

    Vaneza Santiago · 65問 · 1年前

    ENTREP PLACEMENT EXAM

    ENTREP PLACEMENT EXAM

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    LESSON 1 - PRODUCT MANAGEMENT

    LESSON 1 - PRODUCT MANAGEMENT

    Vaneza Santiago · 59問 · 12ヶ月前

    LESSON 1 - PRODUCT MANAGEMENT

    LESSON 1 - PRODUCT MANAGEMENT

    59問 • 12ヶ月前
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    Lesson 2 Retail Marketing

    Lesson 2 Retail Marketing

    Vaneza Santiago · 31問 · 11ヶ月前

    Lesson 2 Retail Marketing

    Lesson 2 Retail Marketing

    31問 • 11ヶ月前
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    問題一覧

  • 1

    use of data, information technology, statistical analysis, quantitative methods, and mathematical or computer-based models to help managers gain improved insight about their business operations and make better, fact-based decisions

    business analytics

  • 2

    a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving.

    business analytics

  • 3

    supported by various tools such as Microsoft Excel and various Excel add-ins, commercial statistical software packages such as SAS or Minitab, and more complex business intelligence suites that integrate data with analytical software

    business analytics

  • 4

    __________use analytics to predict and prevent credit fraud.

    leading banks

  • 5

    use analytics for production planning, purchasing, and inventory management.

    manufacturers

  • 6

    use analytics to recommend products to customers and optimize marketing promotions.

    retailers

  • 7

    use it to get life-saving drugs to market more quickly.

    pharmaceutical firms

  • 8

    use analytics to analyze historical sales data, understand customer behavior, improve Web site design, and optimize schedules and bookings.

    leisure and vacations industries

  • 9

    use analytics to dynamically set prices over time to maximize revenue

    airlines and hotels

  • 10

    are using business analytics to determine both game strategy and optimal ticket prices

    sport teams

  • 11

    ENUMERATION: small letters only give me 4 - p,m,c,l - ganyan layout hehe What are the common types of decisions that can be enhanced by using analytics?

    pricing,merchandising,customer segmentation,location

  • 12

    TRUE OR FALSE the modern evolution of analytics began with the introduction of computers in the late 1940s and their development through the 1960s and beyond.

    true

  • 13

    Modern computers provided the ability to store and analyze data in ways that were either very difficult or impossible to do so manually.

    false

  • 14

    This facilitated the collection, management, analysis, and reporting of data,

    business intelligence

  • 15

    The term business analytics coned by _____ in 1958 an IBM researcher

    Hans Peter Luhn

  • 16

    Select the 3 basic questions in business intelligence

    How many units did we sell last month?”, What products did customers buy and how much did they spend?”, How many credit card transactions were completed yesterday?”

  • 17

    What is the evolution of the modern discipline of BUSINESS INTELLIGENCE?

    information systems

  • 18

    it been recognized as an important element of business, driven to a large extent by the massive growth of data in today’s world.

    statistic

  • 19

    the basic tools of description, exploration, estimation, and inference, as well as more advanced techniques like regression, forecasting, and data mining.

    statistical methods

  • 20

    was born from efforts to improve military operations prior to and during World War II.

    operation research

  • 21

    is the leading professional society devoted to OR/MS and analytics, and publishes a bimonthly magazine called Analytics

    informs

  • 22

    What is the meaning of INFORMS?

    Institute for Operations Research and the Management Sciences

  • 23

    began to evolve in the 1960s by combining business intelligence concepts with OR/MS models to create analytical-based computer systems to support decision making.

    Decision support systems

  • 24

    What are the tree components of decision support systems?

    data management l, model management, communication system

  • 25

    It's used for storing data and allows the user to input, retrieve, update, and manipulate data.

    data management

  • 26

    consists of various statistical tools and management science models and allows the user to easily build, manipulate, analyze, and solve models.

    model management

  • 27

    provides the interface necessary for the user to interact with the data and model management components

    communication systems

  • 28

    summarizes data into meaningful charts and reports, for example, about budgets, sales, revenues, or cost.

    descriptive analytics

  • 29

    It's typically answers, “How much did we sell in this region”, “What was our revenue and profit last quarter.”

    descriptive analytics

  • 30

    seeks to predict the future by examining historical data, detecting patterns or relationships in these data, and then extrapolating these relationships forward in time.

    predictive analytics

  • 31

    helps to answer questions such as “What will happen if demand falls by 10% or if supplier prices go up 5%?” “What do we expect to pay for fuel over the next several months?” “What is the risk of losing money in a new business venture?”

    predictive analytics

  • 32

    Select the 5 variety of tools used to support business analytics

    dashboards, data visualizations, statistical methods, simulation, forecasting

  • 33

    addresses questions such as “How much should we produce to maximize profit?” “What is the best way of shipping goods from our factories to minimize costs?” “Should we change our plans if a natural disaster closes a supplier’s factory: if so, by how much?”

    prescriptive analytics

  • 34

    What are the 3 example of DECISION SUPPORT SYSTEMS (DSS)

    GPS route planning, crop planning tools, Medical diagnosis software

  • 35

    WHAT KIND OF ANALYTICS for example, review business performance to find problems or areas of opportunity, and identify patterns and trends in data

    descriptive analytics

  • 36

    For example, a marketer might wish to predict the response of different customer segments to an advertising campaign, a commodities trader might wish to predict short-term movements in commodities prices, or a skiwear manufacturer might want to predict next season’s demand for skiwear of a specific color and size.

    predictive analytics

  • 37

    For example, we may determine the best pricing and advertising strategy to maximize revenue, the optimal amount of cash to store in ATMs, or the best mix of investments in a retirement portfolio to manage risk.

    prescriptive analytics