Booking options
£450
+ VAT£450
+ VATOn-Demand course
30 minutes
All levels
Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions.
As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects.
At the end of this program, you will be able to:
Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects
Articulate analytical questions to focus on the real problems
Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them
The different types of decisions in projects
Data-informed decision-making framework
Shortcomings with traditional decision-making models
Issues in project management and how data can help solve them
The DIKW Pyramid (Data, information, knowledge, wisdom)
Types of data in projects
Understanding Data Analytics
Levels of Data Analytics
Data-Informed vs. Data-Driven
Project data availability and collection
Data quality
Behavioral blockers and bias
Data literacy and data fluency
Communicating for informed decision-making
Monitoring and evaluating project decisions
Decision-making strategy and governance
Project data culture
Continuously improving decision quality
Data and AI
Digital Decisioning