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Simulator

As explained in Data for All

Simulation software is software that computationally represents systems or processes and generates or studies possible outcomes.

What if you could test a plan before changing the real world? A simulator computationally represents operations, markets, products, or customers so users can vary assumptions and study possible outcomes safely. section 7.3.5

Simulators let users:

  • Change inputs such as prices, promotions, program boundaries, products, and customer numbers, then receive responses showing how operations may react. section 7.3.5
  • Run complex scenarios over time by injecting predetermined variables into a simulated environment and observing projected process performance. section 7.3.5
  • Compare plans, validate model results, and explore new scenarios without immediately exposing a business to real-world consequences. section 7.3.5
  • Continuously examine data-market opportunities and suggest changes to objectives, prices, conditions, or data integrations. section 8.6.2

Testing a business plan

A manager varies price, promotion timing, product selection, and customer volume. Repeated runs reveal which combination appears most likely to produce the desired outcome before implementation. section 7.3.5

How Data for All covers it

How deep it goes
Explains variable changes, repeated runs, time-based scenarios, and model validation, while deferring implementation details.
Examples
Uses prices, promotions, products, customer counts, program boundaries, market conditions, and digital twins as simulation examples.
What it assumes
Assumes prediction and prescription efforts provide the data, while introducing simulation through accessible business variables and scenarios.
What you can do after
Evaluate plans, validate model results, compare projected outcomes, and identify promising scenarios in a safe environment.
How it connects
Connects simulation with prediction, prescription, data science, digital twins, optimization software, artificial intelligence, and data markets.

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This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.