IMC Forecasting
問題一覧
1
attempts to reach a consensus opinion by sending questionnaires to a select group of experts
Delphi Method
2
uses patterns found in the past data to determine future trends to opportunities.
also known as predictive analytics.
Prediction Method
3
The process of examining existing data, uncovering existing patterns within the data to influence future business decisions.
Uses mathematical algorithms
Data Mining
4
looks at independent factors to determine when the expect an increase demand.
Causal Models
5
this model builds on the time-series model but its purpose is to determine how much the demand will increase when compared to normal levels.
Seasonal Index
6
allows you to forecast future sales based on a similar time frame in the past.
Time Series Model
7
it makes the time series stationary by measuring the difference between data points.
predicts data within a time series.
Box-Jenkins Model
8
text the moving average technique to a step further, by weighing certain data points with what is known as a smoothing constant.
Exponential Smoothing
9
is a mathematical formula that uses past sales volume data to predict future trends.
Moving Average
10
take past data and combine it with mathematical formulas to determine future performance.
Quantitative Techniques
11
attempts to take these outside variables into account, providing a more nuanced and accurate inventory assessment.
Demand Forecasting
12
the process of predicting customer demand for an inventory item over a defined period of time.
Inventory Demand Forecasting
13
the simplest version of forecasting.
Naive Forecasting
14
allow you to efficiently serve customers needs without investing capital in large amount in stock.
Accurate Demand Forecasts
15
is a specific way of analyzing a sequence of data points collected over an interval of time.
Time Series Analysis
16
this method can be very useful when you are introducing a product that is similar but not exactly the same as what you have previously offered.
Historical Life-Cycle Analogy
17
Relies on the projections of salespeople within their respective regions, as they anticipate future demand.
Sales Force Composite
18
attemp to determine who are the end usres for your products and whether your products are often sold.
End-Use
19
by only surveying a selection of the total customer base, it is easy to extrapolate the potential future sales.
Sample Survey
20
by asking all of your customers exactly what they plan to purchase, you get a single answer by totaling their responses.
Complete Enumeration
21
provide these answers in the customers own words, which can fuel future marketing promotions.
Consumer Surveys
22
typically, the head executive of each department analyze the data on their own and make recommendations based on their own experience and area of expertise.
Executive Opinions
23
studies how rational individuals act within a given situation, using mathematical models.
is useful for high stakes or complicated financial situations and can account for statistical outlines in some cases.
Game Theory
24
this method relies more in the educated guesses based on experience and knowledge of how the markets works.
Qualitative Techniques
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22問 • 1年前問題一覧
1
attempts to reach a consensus opinion by sending questionnaires to a select group of experts
Delphi Method
2
uses patterns found in the past data to determine future trends to opportunities.
also known as predictive analytics.
Prediction Method
3
The process of examining existing data, uncovering existing patterns within the data to influence future business decisions.
Uses mathematical algorithms
Data Mining
4
looks at independent factors to determine when the expect an increase demand.
Causal Models
5
this model builds on the time-series model but its purpose is to determine how much the demand will increase when compared to normal levels.
Seasonal Index
6
allows you to forecast future sales based on a similar time frame in the past.
Time Series Model
7
it makes the time series stationary by measuring the difference between data points.
predicts data within a time series.
Box-Jenkins Model
8
text the moving average technique to a step further, by weighing certain data points with what is known as a smoothing constant.
Exponential Smoothing
9
is a mathematical formula that uses past sales volume data to predict future trends.
Moving Average
10
take past data and combine it with mathematical formulas to determine future performance.
Quantitative Techniques
11
attempts to take these outside variables into account, providing a more nuanced and accurate inventory assessment.
Demand Forecasting
12
the process of predicting customer demand for an inventory item over a defined period of time.
Inventory Demand Forecasting
13
the simplest version of forecasting.
Naive Forecasting
14
allow you to efficiently serve customers needs without investing capital in large amount in stock.
Accurate Demand Forecasts
15
is a specific way of analyzing a sequence of data points collected over an interval of time.
Time Series Analysis
16
this method can be very useful when you are introducing a product that is similar but not exactly the same as what you have previously offered.
Historical Life-Cycle Analogy
17
Relies on the projections of salespeople within their respective regions, as they anticipate future demand.
Sales Force Composite
18
attemp to determine who are the end usres for your products and whether your products are often sold.
End-Use
19
by only surveying a selection of the total customer base, it is easy to extrapolate the potential future sales.
Sample Survey
20
by asking all of your customers exactly what they plan to purchase, you get a single answer by totaling their responses.
Complete Enumeration
21
provide these answers in the customers own words, which can fuel future marketing promotions.
Consumer Surveys
22
typically, the head executive of each department analyze the data on their own and make recommendations based on their own experience and area of expertise.
Executive Opinions
23
studies how rational individuals act within a given situation, using mathematical models.
is useful for high stakes or complicated financial situations and can account for statistical outlines in some cases.
Game Theory
24
this method relies more in the educated guesses based on experience and knowledge of how the markets works.
Qualitative Techniques