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Capacity and Performance Management

Maturity Measures

Documentation

1

No formal documentation; capacity and performance are managed reactively.

2

Basic documentation of key systems and their performance thresholds.

3

Comprehensive documentation including capacity plans, performance benchmarks, and improvement strategies.

4

Documentation is continuously updated and includes predictive modeling and historical data analysis.

5

Dynamic documentation system integrating real-time performance data and AI-driven forecasting.

Tools and Automation

1

Manual monitoring of systems with minimal tool support.

2

Basic tools for monitoring system performance and usage.

3

Integrated tools for detailed monitoring, reporting, and predictive analysis of capacity and performance.

4

Advanced tools with comprehensive automation for real-time monitoring, capacity planning, and performance tuning.

5

AI-driven tools for predictive capacity management and automated performance optimization.

Process Integration

1

Isolated efforts in managing capacity and performance.

2

Basic integration of capacity planning with IT operations.

3

Well-defined processes integrated across IT and business for proactive capacity and performance management.

4

Fully aligned processes with business strategy, focusing on scalability and efficiency.

5

Seamless integration with business operations, supporting dynamic capacity adjustments and business agility.

Training and Awareness

1

Minimal training on capacity and performance management techniques.

2

Basic training for IT staff on tools and methods for monitoring system performance.

3

Regular training sessions on advanced techniques for capacity planning and performance management.

4

Comprehensive training programs, including workshops on latest technologies and methodologies.

5

Continuous learning culture focusing on predictive analytics and adaptive management techniques.

Performance Measurement

1

No formal metrics for evaluating capacity and performance management.

2

Basic metrics such as CPU, memory usage, and response times.

3

Detailed KPIs tracking system utilization, performance against benchmarks, and user satisfaction.

4

Comprehensive performance management integrating qualitative and quantitative data for decision-making.

5

Real-time, predictive analytics to continuously refine capacity planning and performance strategies.

Stakeholder Communication

1

Poor or no communication about capacity and performance status or issues.

2

Periodic updates to IT teams on critical performance issues.

3

Regular, structured communication protocols for reporting capacity and performance status to all stakeholders.

4

Proactive communication strategies that align with business needs and provide insights into performance optimization.

5

Optimised communication using real-time updates and collaborative platforms for stakeholder engagement.

Continuous Improvement

1

No systematic process for improving capacity and performance management.

2

Reactive adjustments based on system failures or performance degradations.

3

Formal review and improvement processes based on analytics and feedback.

4

Managed improvement cycles informed by data and technological advancements.

5

Culture of proactive optimisation and continuous adaptation, leveraging advanced analytics and market changes.

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