The Environmental Factors Hexagon shows the relationship between people, process, and technology and provides a key for reading the DMBoK context diagrams. It puts goals and principles at the center, since these provide guidance for how people should execute activities and effectively use the tools required for successful data management.

The Amsterdam Information Model (AIM), like the Strategic Alignment Model (SAM), takes a strategic perspective on business and IT alignment. Known as the 9-cell, it recognizes a middle layer that focuses on structure and tactics, including planning and architecture. More ever, it recognizes the necessity of information communication (expressed as the information governance and data quality pillar in the AIM Model).

The creators of both the SAM and the AIM frameworks describe in detail the relation between the components, from both the horizontal (Business/IT strategy) and vertical (Business Strategy / Business Operations) perspective.

June 2023 Newsletter.pdf

The Strategic Alignment Model (SAM) abstracts the fundamental drivers for any approach to #datamanagement. At its center is the relationship between data and information. Information is most often associated with #businessstrategy and the operational use of data. Data is associated with information technology and processes which support physical management of systems that make data accessible for use. Surrounding this concept are the four fundamental domains of strategic choice: business strategy, information technology strategy, organizational infrastructure and processes, and information technology infrastructure and processes.

The fully articulated SAM is more complex than is illustrated. Each of the corner hexagons has its own underlying dimensions. For example, within Business and IT strategy, there is a need to account for scope, competencies and governance. Operations must account for infrastructure, processes and skills. The relationship between the pieces help an organization understand both the strategic fit of the different components and functional integration of the pieces. Even the high-level depiction of the model is useful in understanding the organizational factors that influence decisions and data and data management.

The important implications of the Key Activities of the Data Lifecycle from the Data Management Book of Knowledge are:

* Creation and usage are the most critical points in the data lifecycle
* Data Quality must be managed throughout the data lifecycle
* Metadata Quality must be managed through the data lifecycle
* Data Security must be managed through the data lifecycle
* Data Management efforts should focus on the most critical data

The key Data Management Principles from the Data Management Book of Knowledge are:

* Data is an asset with unique properties.
* The value of data can and should be expressed in economic terms.
* Managing data means managing the quality of data.
* It takes Metadata to manage data.
* It takes planning to manage data.
* Data management is cross-functional; it requires a range of skills and expertise.
* Data management requires an enterprise perspective.
* Data management must account for a range of perspectives.
* Data management is lifecycle management.
* Different types of data have different lifecycle characteristics.
* Managing data includes managing the risks associated with data.
* Data management requirements must drive Information Technology decisions.
* Effective data management requires leadership commitment.

The DAMA Wheel defines the Data Management Knowledge Areas. It places data governance at the center of data management activities, since governance is required for consistency within and balance between the functions. The other Knowledge Areas (Data Architecture, Data Modeling, etc.) are balanced around the Wheel. They are all necessary parts of a mature data management function, but they may be implemented at different times, depending upon the requirements of the organization. These Knowledge Areas are the focus of Chapters 3 - 13 of the DMBoK 2nd Edition.

May 2023 Newsletter.pdf

April 2023 Newsletter.pdf

We'd like to welcome our new Professional Members who have joined the chapter in Q4 2022 and Q1 2023. We're excited you're here and hope you are enjoying all the perks of membership!

• Alex B.
• Allen B.
• Andrew D.
• Brett D.
• Chip H.
• Chris S.
• Christopher S.
• Dakota M.
• David S.
• Dhasaradhy J.
• Dinah S.
• Don L.
• Gabriel V.
• Jason B.
• Jason M.
• Jed S.
• Jodi S.
• John C.
• Katherine H.
• Kelsey S.
• Kim G.
• Leah K.
• Levi M.
• Linda G.
• Luigi L.
• Mark F.
• Michael H.
• Monte M.
• Nathaniel B.
• Nora M.
• Peter C.
• Ray O.
• Sarah F.
• Scot R.
• Sendhil P.
• Stephanie S.
• Steve W.