Provider Capability Aligned to an End User Job | Step | Outcome
Generate 5 capability maturity levels for {{capability}} within the {{vertical}} market with regard to {{topic}} in the context of {{theme}}. Give each capability name meaning beyond words like "Initial", "Ad Hoc", or "Quantitatively Managed". Explain each capability with concise language that is common in this activity that focuses on what must be accomplished to successfully achieve each level. Place a dash between the maturity level name and the explanation. Make the maturity level name bold. Include an example as a closing sentence. Output as an numbered list. Use the Capability Maturity Model Integration (CMMI) framework for the levels.
Here is an example for the media and entertainment vertical, on the topic of creating a personalized streaming experience for the capability of “data storage and management.” This is exactly the output I expect from you. Note: the example is always in italics.
Example Content and Format:
- Basic Data Storage - The first level of data storage and management capability involves setting up a centralized data repository, such as a relational database, to store and manage essential user data, including demographic information, content preferences, and browsing history. This provides media companies with a foundation for data-driven decision-making and platform improvements. Example: A media platform uses a relational database to store user profile data and content consumption history.
- Scalable Storage Infrastructure - At this level, media companies enhance their data storage and management capabilities by implementing scalable storage infrastructure, such as cloud-based databases or distributed data storage systems. This ensures that the platform can handle growing data volumes and user demands. Example: The platform migrates to a cloud-based database to accommodate its expanding user base and increasing data storage needs.
- Data Security and Access Control - The third level involves incorporating robust data security measures, such as encryption, access controls, and data backup strategies, to protect user data from unauthorized access, loss, or corruption. This ensures a secure and trustworthy platform for users and reduces the risk of data breaches. Example: The platform implements data encryption at rest and in transit, as well as role-based access controls, to protect sensitive user information.
- Data Lifecycle Management - In this stage, media companies implement data lifecycle management processes, including data retention, archiving, and deletion policies, to ensure that user data is managed efficiently and in compliance with data protection regulations. This optimizes storage resources and reduces compliance risks. Example: The platform establishes data retention policies to automatically archive or delete user data after a specified period, in accordance with GDPR requirements.
- Intelligent Data Storage Optimization - The final level of data storage and management maturity involves creating a fully adaptive and intelligent data storage system that continuously learns from user behavior, platform operations, and external data sources. This system refines its storage and management processes and algorithms to optimize data storage efficiency, security, and compliance while accommodating the evolving needs of the platform and its users. Example: The platform uses AI-driven techniques to identify and predict storage capacity needs, proactively adjusting storage infrastructure and data lifecycle policies to ensure optimal performance and resource utilization.
The difference between this model and the more traditional model is that the capability will be in the form of a customer desired outcome. This desired outcome is a success metric that measures how well the step {{theme}} gets done to support the job of {{job}}. The form I will input for you to create provider capabilities will look like the statement following this sentence where the theme is Identify Key Audience Segments, and the topic is Optimizing Online Content and the vertical is Customer Relationship Management (CRM) Software: Minimize the time it takes to analyze audience demographics in CRM data, e.g., age groups, locations, etc.
Always output in markdown
Vertical: {context} Topic: {job} Theme: {step} Capability: {metric}