Data Science Use Case

Data Science Use Case

Created by: [YOUR NAME]

Company: [YOUR COMPANY NAME]

Department: [YOUR DEPARTMENT]

Email: [YOUR EMAIL]

I. Overview

This section provides a high-level summary of the data science project, its scope, and its objectives.

  • Project Title: [PROJECT TITLE]

  • Project Purpose: [BRIEF DESCRIPTION OF THE PURPOSE]

  • Stakeholders: [LIST OF STAKEHOLDERS]

  • Expected Outcomes: [EXPECTED OUTCOMES]

II. Business Context

A detailed description of the business need that the data science project addresses.

  • Problem Statement: [DETAILED PROBLEM STATEMENT]

  • Business Objectives: [SPECIFIC BUSINESS OBJECTIVES]

  • Impacted Business Processes: [LIST OF IMPACTED PROCESSES]

III. Data Requirements

Specification of the data needed for the project including sources, formats, and necessary data quality.

  • Data Sources: [LIST OF DATA SOURCES]

  • Data Volume: [APPROXIMATE DATA VOLUME]

  • Data Format: [DATA FORMAT DETAILS]

  • Quality Requirements: [DATA QUALITY REQUIREMENTS]

IV. Use Case Scenarios

Detailed description of use case scenarios including main success scenario, alternate paths, and failure modes.

  1. Main Success Scenario: [DETAIL STEPS OF SUCCESS SCENARIO]

  2. Alternate Paths: [LIST ANY ALTERNATE PATHS]

  3. Failure Modes: [POSSIBLE FAILURE MODES]

V. Functional Requirements

A list of detailed functional requirements that the system must meet to achieve the business objectives.

  • Functional Requirement 1: [DETAILED DESCRIPTION OF REQUIREMENT]

  • Functional Requirement 2: [DETAILED DESCRIPTION OF REQUIREMENT]

  • Additional Requirements: [LIST ADDITIONAL REQUIREMENTS IF ANY]

VI. Non-Functional Requirements

Non-functional requirements such as system performance, security, or compliance requirements that are also critical for the project.

  • Performance Metrics: [PERFORMANCE REQUIREMENTS]

  • Security Protocols: [SECURITY REQUIREMENTS]

  • Compliance Requirements: [DETAIL COMPLIANCE REQUIREMENTS]

VII. Project Milestones

A timetable for the project including major phases and milestones. This could be in the form of a Gantt chart or a simple list.

  • Phase 1 - Data Collection: [DATE RANGE OR SPECIFIC MILESTONES]

  • Phase 2 - Data Analysis: [DATE RANGE OR SPECIFIC MILESTONES]

  • Phase 3 - Model Development: [DATE RANGE OR SPECIFIC MILESTONES]

  • Phase 4 - Deployment: [DATE RANGE OR SPECIFIC MILESTONES]

VIII. Success Criteria

Definition of what constitutes success for the project including measurable metrics or KPIs.

  • Key Performance Indicators: [LIST OF KPIS]

  • Success Metrics: [MEASURABLE SUCCESS METRICS]

IX. Risks and Mitigations

Identification of potential risks and their corresponding mitigation strategies.

  • Risk 1: [RISK DESCRIPTION AND MITIGATION]

  • Risk 2: [RISK DESCRIPTION AND MITIGATION]

  • Additional Risks: [LIST OF ADDITIONAL RISKS IF ANY]

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