Enterprise Architecture

Agile Development And Data Management Do Coexist

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A frequent question I get from data management and governance teams is how to stay ahead of or on top of the Agile development process that app dev pros swear by. New capabilities are spinning out faster and faster, with little adherence to ensuring compliance with data standards and policies.

Well, if you can’t beat them, join them . . . and that’s what your data management pros are doing, jumping into Agile development for data.

Forrester’s survey of 118 organizations shows that just a little over half of organizations have implemented Agile development in some manner, shape, or form to deliver on data capabilities. While they lag about one to two years behind app dev’s adoption, the results are already beginning to show in terms of getting a better handle on their design and architectural decisions, improved data management collaboration, and better alignment of developer skills to tasks at hand.

But we have a long way to go. The first reason to adopt Agile development is to speed up the release of data capabilities. And the problem is, Agile development is adopted to speed up the release of data capabilities. In the interest of speed, the key value of Agile development is quality. So, while data management is getting it done, they may be sacrificing the value new capabilities are bringing to the business.

Let’s take an example. Where Agile makes sense to start is where teams can quickly spin up data models and integration points in support of analytics. Unfortunately, this capability delivery may be restricted to a small group of analysts that need access to data. Score “1” for moving a request off the list, score “0” for scaling insights widely to where action will be taking quickly.

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Agile Development And Data Management Do Coexist

by

A frequent question I get from data management and governance teams is how to stay ahead of or on top of the Agile development process that app dev pros swear by. New capabilities are spinning out faster and faster, with little adherence to ensuring compliance with data standards and policies.

Well, if you can’t beat them, join them . . . and that’s what your data management pros are doing, jumping into Agile development for data.

Forrester’s survey of 118 organizations shows that just a little over half of organizations have implemented Agile development in some manner, shape, or form to deliver on data capabilities. While they lag about one to two years behind app dev’s adoption, the results are already beginning to show in terms of getting a better handle on their design and architectural decisions, improved data management collaboration, and better alignment of developer skills to tasks at hand.

But we have a long way to go. The first reason to adopt Agile development is to speed up the release of data capabilities. And the problem is, Agile development is adopted to speed up the release of data capabilities. In the interest of speed, the key value of Agile development is quality. So, while data management is getting it done, they may be sacrificing the value new capabilities are bringing to the business.

Let’s take an example. Where Agile makes sense to start is where teams can quickly spin up data models and integration points in support of analytics. Unfortunately, this capability delivery may be restricted to a small group of analysts that need access to data. Score “1” for moving a request off the list, score “0” for scaling insights widely to where action will be taking quickly.

Read more

Full Stack Enterprises (Who Needs Architects?)

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In my last post, “Locking Down the Prisoners: Control, Conflict and Compliance for Organizations”, I returned to a topic that I’ve been touching on periodically over the last year, organizations as systems, which overlaps significantly with the topic of enterprise architecture (not to be confused with enterprise IT architecture of which EA is a superset). […]

Healthcare Interoperability, Standards and Data Science

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Srinidhi Boray | Ingine, Inc | Bioingine.com Introducing, Ingine, Inc. it is a startup in its incipient stages of developing BioIngine platform, which brings advancement in data science around Interoperability. Particularly with healthcare data mining and analytics dealing with medical knowledge extraction. Below are some of the lessons learned discussed while dealing with the healthcare […]

Business Patterns and EA

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I’ve just finished writing a fascinating Report for Cutter Consortium about Business Patterns and EA. For some time now I’ve been working with EA practitioners who are taking advantage of information that has already been gathered by people from backgrounds other than EA. The EA role then becomes one of converting or translating this information…

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Enterprise Architecture – the Eight Fundamental Factors

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New updated edition now in book The second edition of our book is now published and available. Here is a brief summary of what you can expect: A new title: Enterprise Architecture – the Eight Fundamental Factors. A major rewrite and rearrangement of the content, new content, and additional diagrams and charts. Practical advice, examples and case…

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  1. Top Intriguing Business & Enterprise Architecture Articles for 2013 Every year Cutter compile a list of the five most intriguing…
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The Entity Card

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Whatever business you are in, information is the most important raw material there is and it should be understood by many. Using tools like the entity card is one way of communicating on relatively stable information structures, there are other ways. People may say this is hard and takes a lot of time todo. To them […]

The Entity Card

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Whatever business you are in, information is the most important raw material there is and it should be understood by many. Using tools like the entity card is one way of communicating on relatively stable information structures, there are other ways. People may say this is hard and takes a lot of time todo. To them […]

Would you hire an Enterprise Architect?

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Facing the choice of hiring a LEAN Expert, an Enterprise Architect or two production workers, what would be the best choice? The choice is rarely presented in this fashion, but as the cost is comparable it is a choice taken daily by enterprises across the world. Where would you put your money? Being an Enterprise […]

ArchOps

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I keep being told how Digital Innovation and DevOps are going to save the world. Unfortunately for the salesmen I’ve been around long enough to have seen a magazine full of silver bullets, think Distributed Computing, PCs, Information Centers, Fourth Generation Languages, End User Computing, Object Orientation, ESBs, SOA, BPM and even Java to name […]

Cartesian Dilemma Afflicts the EHR Incentive Program compromising the mission of Healthcare Interoperability

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Affordability Care Act and HITECH Act lead into EHR Incentive Program. Based on the EHR Incentive Program CMS has already payed out 24+ Billion to Eligible Participants. To advance EHR adoption in the Healthcare Ecosystem CMS proposed formation of Accountable Care Organization https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2011-Fact-sheets-items/2011-12-19.html From the above link “”The Pioneer ACO Model is designed for health care organizations and providers that […]