Difference between revisions of "Regulatory Сompliance Quarter"
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#*[[Enterprise information]]. | #*[[Enterprise information]]. | ||
#'''[[Data processing]]'''. | #'''[[Data processing]]'''. | ||
| − | *[[Controlled processing]]. A detailed consideration of evidence and information relying on facts, figures, and logic. | + | #*[[Controlled processing]]. A detailed consideration of evidence and information relying on facts, figures, and logic. |
| − | *[[Automatic processing]]. A relatively superficial consideration of evidence and information making use of heuristics. | + | #*[[Automatic processing]]. A relatively superficial consideration of evidence and information making use of heuristics. |
#'''[[Data analysis]]'''. | #'''[[Data analysis]]'''. | ||
#*[[Data reliability]]. The trustworthiness of [[data]]; this trustworthiness is a result of [[analysis]] of (a) [[content reliability]], (b) [[source reliability]], and (c) [[data intent]]. | #*[[Data reliability]]. The trustworthiness of [[data]]; this trustworthiness is a result of [[analysis]] of (a) [[content reliability]], (b) [[source reliability]], and (c) [[data intent]]. | ||
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#*[[Systematic study]]. Looking at relationships, attempting to attribute causes and effects, and drawing conclusions based on scientific evidence. | #*[[Systematic study]]. Looking at relationships, attempting to attribute causes and effects, and drawing conclusions based on scientific evidence. | ||
#'''[[Big data]]'''. The vast amount of quantifiable information that can be analyzed by highly sophisticated data processing. | #'''[[Big data]]'''. The vast amount of quantifiable information that can be analyzed by highly sophisticated data processing. | ||
| + | #'''[[Productivity]]'''. The amount of goods and services produced divided by the inputs needed to generate that output. | ||
| + | #*[[Productivity]]. The combination of the effectiveness and efficiency of an organization. | ||
| + | #*[[Organizational effectiveness]]. A measure of how appropriate organizational goals are and how well those goals are being met. | ||
| + | #*[[Graphic rating scale]]. An evaluation method in which the evaluator rates performance factors on an incremental scale. | ||
| + | #*[[Breakeven analysis]]. A technique for identifying the point at which total revenue is just sufficient to cover total costs. | ||
#'''[[Forecast]]'''. Prediction of outcome. | #'''[[Forecast]]'''. Prediction of outcome. | ||
#*[[Qualitative forecasting]]. Forecasting that uses the judgment and opinions of knowledgeable individuals to predict outcomes. | #*[[Qualitative forecasting]]. Forecasting that uses the judgment and opinions of knowledgeable individuals to predict outcomes. | ||
#*[[Quantitative forecasting]]. Forecasting that applies a set of mathematical rules to a series of past data to predict outcomes. | #*[[Quantitative forecasting]]. Forecasting that applies a set of mathematical rules to a series of past data to predict outcomes. | ||
#*[[Scenario]]. A consistent view of what the future is likely to be. | #*[[Scenario]]. A consistent view of what the future is likely to be. | ||
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===Methods=== | ===Methods=== | ||
Revision as of 17:08, 5 April 2018
Business Intelligence Quarter (hereinafter, the Quarter) is the first of four lectures of Operations Quadrivium (hereinafter, the Quadrivium):
- The Quarter is designed to introduce its learners to enterprise discovery, or, in other words, to concepts related to obtaining data needed to administer the enterprise effort; and
- The Quadrivium examines concepts of administering various types of enterprises known as enterprise administration as a whole.
The Quadrivium is the first of seven modules of Septem Artes Administrativi, which is a course designed to introduce its learners to general concepts in business administration, management, and organizational behavior.
Contents
Outline
The predecessor lecture is Enterprise Acquisitions Quarter.
Concepts
- Business intelligence. Information that managers can use to make more effective strategic decisions.
- Data processing.
- Controlled processing. A detailed consideration of evidence and information relying on facts, figures, and logic.
- Automatic processing. A relatively superficial consideration of evidence and information making use of heuristics.
- Data analysis.
- Data reliability. The trustworthiness of data; this trustworthiness is a result of analysis of (a) content reliability, (b) source reliability, and (c) data intent.
- Data intent. Intention or purpose with which data was created.
- Fact-based data. Data created with the intent to provide its users with facts.
- Opinion-based data. Data created with the intent to provide its users with opinions.
- Agenda-based data. Data created with the intent to provide its users with information desired to accommodate one's business goals or agendas.
- Data curation.
- Content audit. Reviewing and cataloguing an existing repository of content.
- Analytics. A broad term that encompasses a variety of tools, techniques and processes used for extracting useful information or meaningful patterns from data.
- Association. A link between two elements or objects in a diagram.
- Systematic study. Looking at relationships, attempting to attribute causes and effects, and drawing conclusions based on scientific evidence.
- Big data. The vast amount of quantifiable information that can be analyzed by highly sophisticated data processing.
- Productivity. The amount of goods and services produced divided by the inputs needed to generate that output.
- Productivity. The combination of the effectiveness and efficiency of an organization.
- Organizational effectiveness. A measure of how appropriate organizational goals are and how well those goals are being met.
- Graphic rating scale. An evaluation method in which the evaluator rates performance factors on an incremental scale.
- Breakeven analysis. A technique for identifying the point at which total revenue is just sufficient to cover total costs.
- Forecast. Prediction of outcome.
- Qualitative forecasting. Forecasting that uses the judgment and opinions of knowledgeable individuals to predict outcomes.
- Quantitative forecasting. Forecasting that applies a set of mathematical rules to a series of past data to predict outcomes.
- Scenario. A consistent view of what the future is likely to be.
Methods
- Data-analysis technique.
- Investigation. The formal or systematic examination of data sources that uses one or more data-gathering techniques and is conducted in order to gather data and/or assess data reliability.
Instruments
- Data-analysis tool.
- Database.
- Management information system (MIS). A system used to provide management with needed information on a regular basis.
- Digital tool. Technology, systems, or software that allow the user to collect, visualize, understand, or analyze data.
- Performance management system. Establishes performance standards used to evaluate employee performance.
Practices
The successor lecture is Enterprise Architecture Quarter.
