Project Analytics
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Revision as of 17:15, 12 February 2023
ABSTRACT
Analytics and project management are two related fields that can be used together to drive business success. Analytics refers to the systematic examination of data or statistics to gain insights and make informed decisions. It can involve a variety of techniques and tools, such as data mining, predictive modeling, and data visualization. In the context of project management, analytics can be used to monitor project performance, identify trends and patterns, and make data-driven decisions about project direction and priorities. Project management, on the other hand, is the process of planning, executing, and closing the work of a team to achieve specific goals and meet specific success criteria. It involves defining project scope, setting project goals and objectives, developing a project plan, assembling a project team, and monitoring progress throughout the project lifecycle. By combining these two fields, organizations can leverage the insights gained from analytics to inform project decisions and prioritize initiatives that are most likely to drive business success. Additionally, project managers can use analytics to monitor progress and adjust project plans as needed to ensure that projects remain on track and achieve their desired outcomes.
