Disciplined Agile

Data Management

Data Management

According to the Data Management Body of Knowledge, data management is “the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets.” In our opinion this is a very good definition, unfortunately the implementation of data management strategies tends to be challenged in practice due to the traditional, documentation-heavy mindset. This mindset tends to result in onerous, bureaucratic strategies that more often than not struggle to support the goals of your organization.

Having said that, data management is still very important to the success of your organization. The Disciplined Agile (DA) toolkit’s Data Management process blade promotes a pragmatic, streamlined approach to data management that fits into the rest of your IT processes – we need to optimize the entire workflow, not sub-optimize our data management strategy. We need to support the overall needs of our organization, producing real value for our stakeholders. Disciplined agile data management does this in an evolutionary and collaborative manner, via concrete data management strategies that provide the right data at the right time to the right people.

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Why Data Management?

There are several reasons why Data Management is critical to your organization.  

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Data Management Mindset

We extend the DA mindset with philosophies specific to Data Management. 

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Data Management Roles and Responsibilities

There are several roles that are pertinent to Data Management. 

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Data Management Practices

Data Management teams need to be able to choose their own way of working (WoW).

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Data Management Workflow – External

Data management teams need to interact with a range of teams. 

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Data Management Workflow – Internal

DA data management teams work in a highly collaborative and evolutionary manner.

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Data Management Strategies for DevOps

Data Management can and should be an integral part of your DevOps strategy. 

How to Adopt

How to Adopt Disciplined Agile Data Management

There are several strategies that are crucial to successfully adopting a DA approach to data management.