Background This session introduces The Analytics Life Cycle. This session defines the essential components of analytics, as well as concepts, methods and techniques required to succeed and create real value. Key takeaways The Analytics Life Cycle is a framework for approaching and working with analytics, centering on the three key components of analytics: Data, Discovery […]

Background These are the initial steps of the Analytics Life Cycle and the main objective is to prepare ourselves for analysis. During these steps, we will prepare and explore our data until we are confident that our analytical data will work and solve our analytical use-case. Key takeaways Data Preparation and Exploration is a cycle […]

Background This session introduces the concepts of modeling.  The model step of the Analytics Life Cycle is where you test different types of algorithms to be able to, as good as possible, represent the relationships in data. Key takeaways A model is a simplified description of one or more aspects of reality. But it is […]

Background Deployment is one of three key components in analytics, but is often the component that organization spends least amount of time and money on. If an organization wants to truly compete on analytics this needs to change. The deployment part is where the the information and insights created through analytics is operationalized to create […]

Background During the entire Analytics Life Cycle, different questions will appear, findings and insights will be made etc. At some point we need to communicate with other users and a very powerful tool to use when you communication is data visualization. Key takeaways Data is not information until we do something useful with it Know […]

Evaluation We truly appreciate that you will take the time to assess this online course! The evaluation process is our way of making sure we continuously improve – and for that we need your help!   Go to the evaluation!   Diploma Your diploma will appear on the course front page as soon as you […]