Data representation project management
How data is used in project management?
Data analytics allow PMs to analyze project issues and risks to manage them better and minimize their impact on your processes and results.
This also helps develop the right methods and use the right tools to identify, analyze, prioritize, monitor potential issues, and create solid risk response strategies..
- Seeks or collects and synthesizes information from a variety of stakeholders and sources in an objective, unbiased manner to reach a conclusion, goal, or judgment, and to enable strategic and leadership decision making.
Jul 17, 2022Data Representation – PMP ToolsAffinity diagramsCause-and-effect diagramsControl chartsFlowchartsHierarchical chartsHistogram Data Representation ToolsTools
Data representation is used throughout the PMBOK Guide to illustrate different ways that data could be shown to stakeholders. Methods generally include the use of charts, matrices, and different types of diagrams. Certain processes will have unique methods to represent their data.
Responsibility Assignment Matrix
A Responsibility Assignment Matrix or RAM shows the connection between work packages or activities and the project team members Text Oriented Formats
Sometimes detailed descriptions are required and a simple RACI chart won’t do How is project management related to data?
Project management is also inherently related to the use of data
Nowadays, the amount of data associated with projects is enormous as businesses undertake many projects and group them in programs and portfolios (Spalek, 2019)
In nutshell, data representation is a critical aspect of project management. Gantt charts, flowcharts, network diagrams, tables, and spreadsheets are all effective tools for organizing and analyzing project data. Project managers can make informed decisions and take proactive steps to ensure project success by utilizing these tools.
The MICRO Relational Database Management System was the first large-scale set-theoretic database management system to be used in production.
Though MICRO was initially considered to be an Information Management System, it was eventually recognized to provide all the capabilities of an RDBMS.
MICRO's major underpinnings and algorithms were based on the Set-Theoretic Data Structure (STDS) model developed by D.
L.
Childs of the University of Michigan's CONCOMP Project.
MICRO featured a natural language interface which allowed non-programmers to use the system.
