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  2. Bottom-up and top-down design - Wikipedia

    en.wikipedia.org/wiki/Top-Down_Model

    Information flow top-down and bottom-up in leadership. In the fields of management and organization, the terms "top-down" and "bottom-up" are used to describe how decisions are made and/or how change is implemented. [17] A "top-down" approach is where an executive decision maker or other top person makes the decisions of how something should be ...

  3. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data models represent information areas of interest. While there are many ways to create data models, according to Len Silverston (1997) [7] only two modeling methodologies stand out, top-down and bottom-up: Bottom-up models or View Integration models are often the result of a reengineering effort. They usually start with existing data ...

  4. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Models can be composed of different units (models at finer granularity) linked to achieving a specific goal; for this reason they can be also called modeling solutions. More generally, modeling and simulation is a key enabler for systems engineering activities as the system representation in a computer readable (and possibly executable) model ...

  5. Fundamental analysis - Wikipedia

    en.wikipedia.org/wiki/Fundamental_analysis

    Investors using fundamental analysis can use either a top-down or bottom-up approach. The top-down investor starts their analysis with global economics, including both international and national economic indicators. These may include GDP growth rates, inflation, interest rates, exchange rates, productivity, and energy prices. They subsequently ...

  6. Techno-economic assessment - Wikipedia

    en.wikipedia.org/wiki/Techno-economic_assessment

    Spreadsheet modeling is often preferred for early-stage technologies and startups since it tends to offer greater flexibility, accessibility, and transparency. Process simulators, on the other hand, offer more powerful process simulation capabilities, greater standardization, and integrated cost-estimation modules.

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  9. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.