Is a distortion of information about the demand for a product as it passes from one entity to the next across the supply chain?
The bullwhip effect is the distortion of information about the demand for a product as it passes from one entity to the next across the supply chain. Supply chain execution systems enable the firm to generate demand forecasts for a product and to develop sourcing and manufacturing plans for that product.
Are transformed into finished products and shipped to retailers and customers?
Chapter 9
| Question | Answer |
|---|---|
| As they move through the supply chain, _______ are transformed into finished products and shipped to retailers and customers. | Raw materials |
| The total time it takes to complete a business process, from start to finish, is called its ______ time. | Cycle |
Which of the following manages the flow of products through distribution centers?
Supply chain execution system
What is the primary benefit to consumers of disintermediation quizlet?
Disintermediation provides major benefits to the distributor. The lowered costs of information storage, processing, and communication, along with the improvement of data quality, has resulted in which unique quality of e-commerce?
How does disintermediation harm the consumer?
One disadvantage of disintermediation for the consumer is that it might not save her that much money, but it does eliminate jobs as small local retailers go out of business because they can’t compete with the prices offered by discounters and wholesalers.
Why does improving a small routine decision have business value for a company quizlet?
Why does improving a small value, routine decision have business value for a company? Small value, routine decisions have business value because of their large number and frequency. You just studied 60 terms!
What is a GIS and what is it used for quizlet?
A geographic information system, or GIS, is a computerized data management system used to capture, store, manage, retrieve, analyze, and display spatial information. Data captured and used in a GIS commonly are represented on paper or other hard-copy maps.
Which phase of decision making finds or recognizes a problem?
Chapter 12
| Question | Answer |
|---|---|
| The ________ phase of decision making finds or recognizes a problem, need, or opportunity | Intelligence |
| Which of the following BI tools or abilities have been driving the movement toward “smart cities?” | Big data analytics |
Which type of decision can be made by following a definite procedure?
Structured decisions, by contrast, are repetitive and routine, and decision makers can follow a definite procedure for handling them to be efficient. Semistructured decisions are those in which only part of the problem has a clear-cut answer provided by an accepted procedure.
What is the business value of improved decision making?
Business Value of Improved Decision Making As more business flatten their organizational structures and push decision making to lower levels, better decisions at all levels can lead to increased business value.
Where there is no well-understood or agreed-on procedure for making a decision is said to be?
documented
Where there is no well-understood or agreed?
1 Answer. Unstructured decisions are those in which the decision maker must provide judgment, and nonroutine, and there is no well-understood or agreed-on procedure for making them.
Which of the following is not a characteristic of unstructured decisions?
Which of the following is not a characteristic of unstructured decisions? They are complex. They typically are fuzzy and unclear.
Which of the following best describes the term business analytics quizlet?
Which of the following best describes the term business analytics? The tools and technique used to analyze and understand business data.
Which best describes the purpose of business analytics quizlet?
Which best describes the purpose of business analytics? Business analytics is used to process and analyze data and information to support a story or narrative of a company’s business.
What are knowledge work systems quizlet?
Knowledge work systems (KWS) are specialized systems built for engineers, scientists, and other knowledge workers charged with discovering and creating new knowledge for a company. An expert system is an intelligent technique for capturing tacit knowledge in a very specific and limited domain of human expertise.
Which of the following is the best definition for predictive analysis?
Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends. Predictive analytics software applications use variables that can be measured and analyzed to predict the likely behavior of individuals, machinery or other entities.
Who is called the father of predictive Behaviour?
Carl Friedrich Gauss
What are the four primary aspects of predictive analytics?
Predictive Analytics: 4 Primary Aspects of Predictive Analytics
- Data Sourcing.
- Data Utility.
- Deep Learning, Machine Learning, and Automation.
- Objectives and Usage.
What is the name of tool used for predictive analytics?
But to sum up: both SAP Analytics Cloud and SAS Advanced Analytics are top predictive analytics tools overall. For good free predictive analytics tools you got RapidMiner, KNIME and TIBCO Spotfire.
What is the name of tool used for predictive analytics * 10 points?
IBM SPSS. IBM SPSS (originally called Statistical Package for the Social Sciences) uses data modeling and statistics-based analytics. The software’s reach includes structured and unstructured data. This software is available in the cloud, on premise, or via hybrid deployment to fit any security and mobility needs.
What are the possible types of predictive models?
There are many different types of predictive modeling techniques including ANOVA, linear regression (ordinary least squares), logistic regression, ridge regression, time series, decision trees, neural networks, and many more.
Can Tableau do predictive analytics?
Tableau’s advanced analytics tools support time-series analysis, allowing you to run predictive analysis like forecasting within a visual analytics interface.
How do companies use predictive analytics?
Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities. Predictive models help businesses attract, retain and grow their most profitable customers. Improving operations. Many companies use predictive models to forecast inventory and manage resources.
How do you use predictive analytics?
Predictive analytics requires a data-driven culture: 5 steps to start
- Define the business result you want to achieve.
- Collect relevant data from all available sources.
- Improve the quality of data using data cleaning techniques.
- Choose predictive analytics solutions or build your own models to test the data.
How is Tableau used in predictive analysis?
Predictive Analysis Tableau possesses several native modeling capabilities, including trending and forecasting. You can quickly add a trend line or forecast data to any chart, then view details describing the fit with a simple right-click. You can also drag and drop to model different groups with a single click.
How do you predict using Tableau?
To turn forecasting on, right-click (control-click on Mac) on the visualization and choose Forecast >Show Forecast, or choose Analysis >Forecast >Show Forecast. When no date dimension is present, you can add a forecast if there is a dimension field in the view that has integer values.