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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

  3. Data management plan - Wikipedia

    en.wikipedia.org/wiki/Data_management_plan

    A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...

  4. Activity-based costing - Wikipedia

    en.wikipedia.org/wiki/Activity-based_costing

    Define the project scope - Evaluate mission and objectives for the project. Identify activities and drivers - Determine what drives what activity. Create a cost and operational flow diagram – How resources and activities are related to products and services. Collect data – Collecting data where the diagram shows operational relationship.

  5. Financial analysis - Wikipedia

    en.wikipedia.org/wiki/Financial_analysis

    Financial analysts can also use percentage analysis which involves reducing a series of figures as a percentage of some base amount. [1] For example, a group of items can be expressed as a percentage of net income. When proportionate changes in the same figure over a given time period expressed as a percentage is known as horizontal analysis. [2]

  6. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

  7. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  8. Financial modeling - Wikipedia

    en.wikipedia.org/wiki/Financial_modeling

    Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. [1] This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project, or any other investment.

  9. Project cost management - Wikipedia

    en.wikipedia.org/wiki/Project_cost_management

    Project Cost Management (PCM) is the dimension of project management which aims to ensure that a project is completed within its approved budget. [1] [2] It encompasses several specific project management activities including estimating, job controls, field data collection, scheduling, accounting and design, and uses technology to measure cost and productivity through the full life-cycle of ...