Data Management

Maturity Model

When you search the internet you will find many different maturity models to choose from, searching on terms such as ‘Data Management Maturity Assessment’ or ‘Corporate Maturity Model’. All are essentially providing similar paths to identify the existing characteristics of your team or organization, and are identifying actionable objectives to move forward. What level does your company or team operate at? Review the behaviors and characteristics on the chart below, to determine where you are, and identify where you’d like to be.

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Data Models

Why do we encourage the creation, documentation and distribution of data models? From the perspective of a business user that does their daily job in areas such as customer service or operational support, they don’t care how the data is designed they just use the tools and expect it to work. If that is the extent of data usage then data models are not needed. Most organizations desire to also do various types of data processing and analysis: business intelligence, predictive analytics, data integration, and data provisioning to name a few.

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The Many Faces of Data Management

‘Data Management’ is a term often used with very different meaning within an organization. Examples include: to describe someone that receives a call and updates customer information; a team that provides data to automated systems; or a person working with the Enterprise Architect to design data usage. The diagram below illustrates the usual functions within an organization, and where data management may be found. Identifying this within your organization will help reduce confusion, identify overlap of responsibilities, and help optimize the approach to data management.

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Data Value Chain

‘Data Management’ is a term often used with very different meaning within an organization. Examples include: to describe someone that receives a call and updates customer information; a team that provides data to automated systems; or a person working with the Enterprise Architect to design data usage. The diagram below illustrates the usual functions within an organization, and where data management may be found. Identifying this within your organization will help reduce confusion, identify overlap of responsibilities, and help optimize the approach to data management.

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