Importance of Data Analytics in Project Management
Verdieu St FleurFounder & CEO| VEGA MANAGEMENT CONSULTING LLCWilmington, Ca, United States
Why is Data Analytics Important in Project Management? Does the data need to be cleansed? Does the data need to be normalized?
1. Define your Objective
2. Understand Your Data Source
3. Prepare Your Data
4. Analyze Data
5. Result interpretation. Saving Changes...
the challenge with data analytics applied to project management is that projects are, by definition, unique. As such it is very hard to draw meaningful conclusions.
Kiron Saving Changes...
Verdieu St FleurFounder & CEO| VEGA MANAGEMENT CONSULTING LLCWilmington, Ca, United States
Kiron-
Teams should include key facts to help explain the results. a. Calculate an average of data collected b. Summarize the results as a ratio or percentage c. Display data clearly and concisely
The data should be: Validity: Steps to limit transcription error Integrity: Independent review of results reported Timeliness: The data collection in place should meet program management needs Saving Changes...
