Analyze Support Desk Data

Data Quality: Enhance data quality and management practices

System: Data Management

Actor: Data Analyst, Data Engineer, Data Architect

Scenario:

The Data Analyst wants to analyze support desk data to identify portfolio rationalization opportunities, such as discontinuing redundant services or optimizing processes.

The Data Analyst utilizes data analysis tools and techniques to analyze the support desk data and identify patterns, trends, and areas for improvement.

Based on the analysis, the Data Analyst documents the portfolio rationalization opportunities and presents them to the management for decision-making.

By analyzing the support desk data, the company can make informed decisions to improve efficiency and cost-effectiveness.

Use Case

Use Case Name: Analyze Support Desk Data for Portfolio Rationalization Opportunities

Primary Actor: Data Analyst

Goal: To analyze support desk data and identify portfolio rationalization opportunities to improve efficiency and cost-effectiveness.

Pre-conditions: Support desk data is collected and available for analysis.

Post-conditions: Identified portfolio rationalization opportunities are documented and can be used for decision-making.