Difference between revisions of "Monitoring Quarter"

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===Texts and graphics===
 
===Texts and graphics===
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*https://en.wikipedia.org/wiki/Data_collection
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*https://en.wikipedia.org/wiki/Data_collection_system
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*http://www.fao.org/docrep/003/x2465e/x2465e09.htm
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*http://www.who.int/violence_injury_prevention/surveillance/en/
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*https://cyfar.org/data-collection-techniques
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*http://www.yourarticlelibrary.com/accounting/preparation-of-a-report/good-reporting-system-top-13-principles-financial-analysis/67583
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*https://accountlearning.com/general-principles-of-good-reporting-system/
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*https://www.ungpreporting.org/framework-guidance/reporting-principles/
  
 
==See also==
 
==See also==

Revision as of 17:17, 26 March 2018

Data Gathering Quarter (hereinafter, the Quarter) is the first of four lectures of Operations Quadrivium (hereinafter, the Quadrivium):

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 Chief Execution Quarter.

Concepts

  1. Enterprise data. All data that has been gathered to support all of the enterprise efforts.
    • Data. Factual communications, raw documents, unprocessed measurements, and/or recorded observations collected for further analysis in order to create information.
  2. Data source. A place, person, or thing from which data comes or can be obtained.
  3. Data research.
  4. Data collection mode.
  5. Market research. The activity of gathering information about both or either consumers' needs and preferences and/or sellers' products on the market. Sometimes, the research is considered being the first phase of the market analysis.
    • Environmental scanning. Screening information to detect emerging trends.
    • Benchmarking. The search for the best practices among competitors or noncompetitors that lead to their superior performance.
    • Benchmark. The standard of excellence against which to measure and compare.
  6. Metadata. Data about data; it may include data sources, geolocation, the chronology related to data creation and further movement, data contexts, etc.
  7. Reporting.
  8. Knowledge base.

Methods

  1. Data-gathering technique. An established procedure for carrying out gathering of data.
  2. Meeting. An occasional or arranged gathering of people for informational, emotional, or physical exchanges; particularly, this gathering can serve as a data-gathering technique.
    • Town hall meeting. An informal public meeting where information can be relayed, issues can be discussed, or employees can be brought together to celebrate accomplishments.

Instruments

  1. Data-gathering tool. An tangible or software implement used to carry out gathering of data.
  2. Search engine. A software system that is designed to search for data on corporate networks or, as a web search engine, on World Wide Web.
  3. Prototype. A preliminary conceptual model of a deliverable to be developed; this model is used as a reference, publicity artifact, or data-gathering tool.

Practices

  • Assumption. The factor that, for planning purposes, is considered to be true, real, or certain. Assumptions affect all aspects of project planning, and are part of the progressive elaboration of the project. Project teams frequently identify, document, and validate assumptions as part of their planning process. Assumptions generally involve a degree of risk.
  • Information gathering. The stage of creative behavior when possible solutions to a problem incubate in an individual's mind.
  1. Enterprise discovery. All activities resulted in obtaining of any data relevant to further effort development undertaken in order to achieve the effort goal or goals.
    • Activity. The smallest portion of an enterprise effort that has its own name, input, description, timeframe, and measurable result.
    • Goal (objective). Desired outcome or target.
    • Enterprise goal. A desired outcome towards which the enterprise effort is directed.
    • Enterprise objective. A measureable step taken in order to achieve the enterprise goal.
    • Means-end chain. An integrated network of goals in which the accomplishment of goals at one level serves as the means for achieving the goals, or ends, at the next level.
    • Problem formulation. The stage of creative behavior that involves identifying a problem or opportunity requiring a solution that is as yet unknown.
    • Problem. A discrepancy between the current state of affairs and some desired state or, in other words, an obstacle that makes it difficult to achieve a desired goal or purpose.

The successor lecture is Business Analysis Quarter.

Materials

Recorded audio

Recorded video

Live sessions

Texts and graphics

See also