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Business problem

A business problem is an organizational need, objective, constraint, or challenge that a proposed solution is intended to address.

How 4 Manning books explain it

Data Without Labels

A business problem is a defined organizational objective or challenge that analysis or a data science project seeks to address.

How it is used
Frames machine learning projects around a measurable organizational objective before data preparation and modeling.
How deep it goes
Provides definition criteria, common failure modes, stakeholder responsibilities, and a GenAI integration sequence; does not prescribe a particular model.
Examples
Contrasts vague cost-reduction aims with a six-month, 1.2% target for optimizing specified cost heads.
What you can do after
Practice/perform it by agreeing achievable KPIs, resources, and timeframes with business stakeholders before proceeding.

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Delivering Machine Learning Projects: From design to deployment

A business problem is an organizational difficulty, unmet need, or opportunity that a solution is intended to address.

How it is used
Directs sprint 1 toward a purposeful application design by translating organizational issues into validated user, UX, and model requirements.
How deep it goes
Refines the problem through descriptions, story backlogs, user validation, performance requirements, UX designs, and story cards, but not complete business mastery.
Examples
Uses business application descriptions, user story backlogs, UX designs, and story cards listing stakeholders, priorities, and impacts.
What you can do after
Evaluate and understand organizational needs well enough to create validated application requirements and direct data and infrastructure work.

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Collaborative Software Design: How to facilitate domain modeling decisions

A business problem is a need, objective, task, process, constraint, or challenge affecting users, stakeholders, or an organization.

How it is used
Frames collaborative software design around understanding user and stakeholder needs before selecting solutions.
How deep it goes
Defines broad categories, explains why visualization helps, and stops short of prescribing a complete analysis method.
Examples
Uses cinema journeys, ticket sales, reporting, corrupted data, and a BigScreen EventStorming conversation as concrete examples.
What you can do after
Apply it via collaborative modeling to surface misunderstandings, compare scenarios, test edge cases, and inform software decisions.

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BDD in Action, Second Edition

A business need is a required improvement or capability arising from an organization's goals or difficulties.

How it is used
Guides teams toward shared goals, critical workflows, and business-value-driven automation.
How deep it goes
Defines the problem through purpose, audience, goals, workflows, and measurable outcomes rather than implementation internals.
Examples
Uses online-store purchasing and refund workflows plus commuter journey planning with a ten-percent travel-time target.
What you can do after
Evaluate workflows, prioritize valuable automation, align team decisions, and choose alternatives that preserve the intended business outcome.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.