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Business case

As explained in Delivering Machine Learning Projects: From design to deployment

A business case is a factual justification for undertaking an initiative that describes its expected value, costs, feasibility, and constraints.

A business case justifies an initiative by connecting its expected value to a business priority. Use it as a compass for project decisions, while keeping it distinct from commercial feasibility: a valuable project can still lack funding. section 3.1

Assess the case alongside the conditions that determine whether the initiative can proceed:

  • Identify the mechanism for value, such as savings, revenue gains, or improved quality of life. section 3.1
  • Check alignment with the customer’s strategic business priorities. section 3.1
  • Test technical feasibility, available data resources, infrastructure capacity, and how customers will use the outcome. section 3.1
  • Separate business value from commercial feasibility: confirm that funding covers the required work. section 3.1

Use the case to reject unrealistic work

If the evidence indicates that an initiative is likely to fail, push back rather than commit the team. A factual case can support declining the work, protect the team and reputation, and provide material for later learning. section 3.6

Figure 3.1 The project’s drivers (Business Priority and Business Case), the supporting components (Sufficient Funding, Technical Means, and Data Resource), and enablers (Utilization Method).

Use the project-drivers diagram to relate business priority and business case to funding, technical means, data resources, and the utilization method. section 3.1

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Defines value, alignment, feasibility, and funding checks but stops short of constructing the customer’s detailed financial case.
Examples
Uses savings, revenue gains, quality-of-life improvements, strategic priorities, and evidence supporting project acceptance or rejection.
What it assumes
Assumes access to customer priorities and project constraints while treating detailed business-case development as the customer’s responsibility.
What you can do after
Evaluate whether a proposed initiative is valuable, feasible, fundable, and defensible before committing delivery resources.
How it connects
Connects business priority, commercial feasibility, technical feasibility, data resources, sufficient funding, and utilization methods.

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This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.