Welcome to Data-driven Decision Making. In this course you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used.
Learn how to solve complex problems with analytics based decision-making and solution designs. Explore complex, multi-actor systems in which one factor influences all other factors. For instance, how innovative energy technologies merge into the existing energy system, or how new health technologies, medicines, treatments and screening technologies in development impact current processes. Armed with this information, learn to decide whether they should be further developed, consider possible negative results and weigh associated costs.
There are multiple ways to make decisions, but one option proven to be very useful is the analytical approach-a methodology for making the problem explicit and rationalising the different potential solutions. In short: analytically based support of decision making, design and implementation of solutions.
Creative Problem Solving and Decision Making as a course teaches you this method.
This course explores and evaluates tools and problem solving methods such as:
- Actor analysis
- Causal modeling
- Goal trees and means-end diagrams
- Problem diagrams
- Decision support
- Score cards
This course introduces each technique and applies each to a concrete case. Ultimately, the combination of each technique provides a coherent analysis of the problem.
What you'll learn:
- Analytically based support of decision-making, design and implementation of solutions.
- How to apply tools like actor analysis, causal modeling, goal trees and means-end diagrams, problem diagrams, uncertainty, decision support and score cards.