Predictive analytics - definition & application
Predictive analytics explained clearly: definition, application in practice and significance for digital strategies & transformation.
Definition: Predictive analytics
Predictive analytics is a key term in the context of digitalization, management consulting and innovation. It describes a method, a model, a technical concept or a strategic approach that plays an important role in practice.
What is predictive analytics all about?
Predictive analytics helps companies to master complex challenges, optimize processes, develop new business models or implement innovations in a structured manner. The term is often used in digital transformation projects.
Typical areas of application
- Consulting & strategy development
- Technology & process projects
- Organizational Development & Change
- Agile product development & IT
Why is predictive analytics relevant?
Because predictive analytics as a concept helps to structure complex issues, create decision-making certainty or derive concrete implementation steps.
Example from practice
One company used predictive analytics to specifically identify digital potential and develop an MVP from this, which was later scaled up.
FAQ
What does predictive analytics mean?
A concise explanation: Predictive analytics describes a strategic, methodical or technical approach to digital innovation or increasing efficiency.
Where is predictive analytics used?
In transformation projects, product development, process optimization, change management or strategy work.
Why should you know predictive analytics?
Because it is a central element of modern corporate management - and often forms the basis for digital progress.
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