Data Warehouse Use Case
Data Warehouse Use Case
USE CASE ID: [ENTER USE CASE ID]
TITLE: [ENTER TITLE]
CREATED BY: [ENTER CREATOR NAME/TEAM NAME]
DATE CREATED: [ENTER DATE CREATED]
LAST UPDATED: [ENTER LAST UPDATED DATE]
VERSION: [ENTER VERSION NUMBER]
USE CASE PURPOSE:[PURPOSE]
I. Overview
This Use Case is designed to structure the process for implementing and utilizing a data warehouse within [YOUR COMPANY NAME]. It will guide you through the necessary steps to extract, transform, and load data for enhanced decision-making abilities.
II. Use Case Objective
To effectively consolidate various data sources into a single repository allowing for improved business intelligence, reporting, and analytics.
III. Actors
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[DATA ENGENEER]
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[BUSINESS ANALYST]
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[DATABASE ADMINISTRATOR]
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[END USERS]
IV. Preconditions
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Initial assessment of data sources has been completed.
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Data extraction tools and resources are available.
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All participating actors have been trained on their respective tasks.
V. Postconditions
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Data is regularly updated and maintained in the warehouse.
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Business intelligence tools are operational and providing insights.
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End Users can access updated reports and dashboards.
VI. Main Success Scenario
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[DATA ENGENEER]consolidates data sources.
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Data is cleaned, transformed, and loaded into the warehouse.
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[DATABASE ADMINISTRATOR] sets up security measures and regular backups.
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[BUSINESS ANALYST] generates reports and analyses for strategic decisions.
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End Users access fresh, up-to-date business intelligence.
VII. Extensions/Exceptions
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If data fails to load, troubleshooting procedures are implemented.
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If security protocols are breached, incident response is activated.
VIII. Quality Requirements
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Data accuracy and consistency must be maintained above 99%.
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System downtime should not exceed 1% of total time.
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Security audits to be performed bi-annually.
IX. Technical Requirements
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High-performance SQL database for data storage.
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ETL tools compatible with existing data formats and sources.
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Reporting tools must support real-time data access and multi-dimensional analysis.
X. Assumptions
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Continuous availability of IT support team to handle data extraction and loading issues.
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End Users have a basic understanding of how to use the reporting tools provided.
