Regulatory Сompliance Quarter

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.

Outline

The predecessor lecture is Bookkeeping Quarter.

Concepts

1. Business intelligence. Information that managers can use to make more effective strategic decisions.
   • Information.
   • Enterprise information.
2. 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.
3. 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.
     1. Content reliability.
     2. Source reliability.
   • Data intent. Intention or purpose with which data was created.
     1. Fact-based data. Data created with the intent to provide its users with facts.
     2. Opinion-based data. Data created with the intent to provide its users with opinions.
     3. Agenda-based data. Data created with the intent to provide its users with information desired to accommodate one's business goals or agendas.
4. Data curation.
5. 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.
6. Big data. The vast amount of quantifiable information that can be analyzed by highly sophisticated data processing.
7. 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.
8. 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

1. 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

1. 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.
2. Performance management system. Establishes performance standards used to evaluate employee performance.

Practices

The successor lecture is Enterprise Architecture Quarter.