Identifying Organizational Maturity for Data Management

The maturity of an organization is determined by how that organization can collect, manage and exploit data. This is a continuous improvement process where data is used to make strategic decisions and strategic decisions are made to collect data that creates competitive advantages. But in order to create strategic advantages through data, an organization needs to have data management and related processes in place to discover, integrate, bring insight and disseminate data within the entire organization. In terms of data, organizations need to understand where they are currently and where they want to be in the future and thus they need to ask the following questions:

Currently

Who receives the data?

What happens to data?

Where does data come from?

When is the data being shared?

Why data is collected?

In the Future

Who should received the data?

What should happen to data?

Where should data come from?

When should data be shared?

Why should data be collected?

After an organization understands and documents the above then they need to develop metrics to measure the relevance of their data as it pertains to the entire organization. Since being a data-driven organization is a continuous improvement journey, organizations can use the following adaptation of the Capability Maturity Model (CMM) to determine their maturity of data management and related processes:

Data Management Maturity Levels

Additionally, organizations can have governance and processes that can help them assemble, deploy, manage and model data at each level of CMM as shown below:

Governance

Originally published at arsalankhan.com on July 23, 2015.

Speaker | Advisor | Blogger (ArsalanKhan.com)

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