A good analytical model should satisfy several requirements, depending on the application area. A first critical success factor is business relevance. The analytical model should actually solve the ...

Coreless stator axial flux permanent magnet (CS-AFPM) machines have found many applications, such as electric vehicle and wind energy generation systems, due to their high power and torque density, ...

Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler ...

Whenever I am under pressure to produce a quick category analysis, I default to the Boston Matrix, developed by the Boston Consulting Group in the early 1970s - it is a more informal marketing tool ...

In today’s data-driven world, industries face growing complexity in managing risk, optimising strategies, and making informed decisions. With advancements in analytics, professionals in risk ...

Financial statements, forecasts, discount rates, market multiples, and performance metrics remain essential tools for assessing value. Yet as valuation assignments become more complex, many ...

Process analytical technology (PAT) has reshaped how biomanufacturers monitor and control production, moving quality assurance from end-of-batch laboratory testing into continuous, real-time ...