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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  3. Waterfall model - Wikipedia

    en.wikipedia.org/wiki/Waterfall_model

    The waterfall model is a breakdown of developmental activities into linear sequential phases, meaning that each phase is passed down onto each other, where each phase depends on the deliverables of the previous one and corresponds to a specialization of tasks. [1] This approach is typical for certain areas of engineering design.

  4. Kimball lifecycle - Wikipedia

    en.wikipedia.org/wiki/Kimball_lifecycle

    According to Ralph Kimball et al., the planning phase is the start of the lifecycle. It is a planning phase in which project is a single iteration of the lifecycle while program is the broader coordination of resources. When launching a project or program Kimball et al. suggests following three focus areas: Defining and scoping the project

  5. Work breakdown structure - Wikipedia

    en.wikipedia.org/wiki/Work_breakdown_structure

    Work breakdown structures that subdivide work by project phases (e.g. preliminary design phase, critical design phase) must ensure that phases are clearly separated by a deliverable also used in defining entry and exit criteria (e.g., an approved preliminary or critical design review).

  6. Project management - Wikipedia

    en.wikipedia.org/wiki/Project_management

    Traditionally (depending on what project management methodology is being used), project management includes a number of elements: four to five project management process groups, and a control system. Regardless of the methodology or terminology used, the same basic project management processes or stages of development will be used.

  7. Systems development life cycle - Wikipedia

    en.wikipedia.org/wiki/Systems_development_life_cycle

    A systems development life cycle is composed of distinct work phases that are used by systems engineers and systems developers to deliver information systems.Like anything that is manufactured on an assembly line, an SDLC aims to produce high-quality systems that meet or exceed expectations, based on requirements, by delivering systems within scheduled time frames and cost estimates. [3]

  8. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling during systems analysis: In systems analysis logical data models are created as part of the development of new databases. Data modeling is also used as a technique for detailing business requirements for specific databases .

  9. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    Data Preparation; Modeling; Evaluation; Deployment; The sequence of the phases is not strict and moving back and forth between different phases is usually required. The arrows in the process diagram indicate the most important and frequent dependencies between phases. The outer circle in the diagram symbolizes the cyclic nature of data mining ...

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