Layer 4: Advanced analytics

Building a Competency center

Alert generation and prioritization support

Start small –dream big!

We are not afraid to dream bigand deliver on our dreams! But experience has tought us to get the basics in place first. So typically, layer 4 is defined, designed and developed together with our customers - and only once layer 1-3 are operational.

Automatically distill the special cases for follow-up by business owners. It allows you to focus your time on the most important things. This is implemented with rulebased analytics that can identify an exception and trigger the suitable warning.

Predictive analytics

Pro-actively identify what might be happening and define followup actions. We use data modelling similar to that of demand forecasting to predict patterns and react before an event occurs.

Scenario modeling

Determine the impact of decisions prior to executing. We often work with simple ”what-if” scenarios that allow the operator to reach faster and more accurate to an event.

Machine Learning based prescriptive analytics

Prescriptive analytics is the most important step in data science because it translate insights into action; how to react to an unplanned event. With this logic we can use machine learning algorithms to automate decisions.

Introduction to LEMAN

Our understanding of your rationale for change

Building a Salling Group competency center Roadmap