Advanced AnalyticsAdvanced Analytics

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

Analytics maturity model ascending from Descriptive to Prescriptive Analytics, showing a progression from 'What happened?' to 'How can we make it happen?' with AI, embodying Kaizen Institute's advanced analytics transformation.

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

Simulation modeling to test new scenarios and environments

Digital twin of a physical counterpart that works in closed-loop feedback

Process mining based on event logs

Statistical and machine learning algorithms to provide recommendations and answers to futuristic questions (e.g., regression, clustering, forecasting, etc.)

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

Better decision-making

Optimized operations

Optimized operations