Advanced Analytics
Level-up your organization by shifting from intuition to data-driven decision-making
Decision-making is a constant process in the day-to-day life of organizations, but despite being so common, it is a potentially time-consuming process with high inefficiencies. As the business world becomes more complex, it is more complicated to make an effective choice that considers all the surrounding variables and scenarios.
The transition from intuition to data-driven decision-making can be a winding path. It requires a cross-disciplinary approach to data, both past and future, moving from a paradigm of informing only, to one where the goal is to drive decision-making. Supporting the prediction of future events, suggesting what should be done or indicating what is most likely to happen is increasingly relevant for creating and building a sustainable and resilient value chain.
Indeed, it is all about insights and foresights: data without intelligence is wasted digitalization.
KAIZEN™ Solution
A solution that combines best-in-class lean principles with digital tools
Simulation
Simulation modeling to test new scenarios and environments
Digital Twin
Digital twin of a physical counterpart that works in closed-loop feedback
Process Mining
Process mining based on event logs
Machine Learning
Statistical and machine learning algorithms to provide recommendations and answers to futuristic questions (e.g., regression, clustering, forecasting, etc.)
Metaheuristics
Mathematical representations of business problems that rely on powerful optimization solvers and metaheuristics
Ready to start?
Find out what are the key opportunities in your processes by conducting a diagnosis workshop
Key Outcomes
Better decision-making
Optimized operations