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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 ...
Analytics is the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions." It is a subset of business intelligence , which is a set of technologies and processes that uses data to understand and analyze business performance to drive decision-making .
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 ...
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.
Project accounting is a type of managerial accounting oriented toward the goals of project management and delivery.It involves tracking, reporting, and analyzing financial results and implications, [1] and sometimes the creation of financial reports designed to track the financial progress of projects; the information generated by this analysis is used to aid project management.
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]
Business analysis has been defined as "a disciplined approach for introducing change to organization" [1] through management, processing, and interpretation of data in order to "identify and define the solution that will maximize the value delivered by an organization to its stakeholders". [1]
Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, [2] and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions.
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