Business Process Improvement

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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Enterprise Architecture is Not Dead

The death of Enterprise Architecture is grossly exaggerated. Some would have us believe that it is no longer needed, where on-the-fly approaches are inaccurately disguised as ‘Agile’ thinking and claimed to produce superior results compared to sound enterprise planning. No. Business process management, data management, application portfolio management and to a lesser extent technology still have a long way to go before graduating from the Science approach to the Commodity approach.

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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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