Episode 36: North-bound Enterprise Architecture with Matt Walburn - that business/IT alignment dance
Software Defined Interviews
English - July 20, 2017 19:00 - 48 minutes - 24 MBTechnology News Tech News careers Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
What’s the “business” side of enterprise architecture? And how does EA’ing start mapping to DevOps, cloud-native, and all the new stuff? In part one of this discussion, I talk with Matt Walburn (https://twitter.com/mattwalburn) about how EA’s fit into The Business.
Rough Outline
Rorschaching “Enterprise Architect” (EA)
The bad parts of EA - governance
“Neo-classical DevOps”
Matt Walburn (https://twitter.com/mattwalburn) - AWS, Pivotal, Target.
DIY Whitepaper (https://content.pivotal.io/white-papers/the-upside-down-economics-of-building-your-own-platform)
Understanding how the business works, the customers (internal and external), what IT is in place.
What’s the “operating model” for figuring out what IT does: deciding on the plan, finance, HR, translating things to developers.
Taking out COTS and desktop management - however, commoditizing by going SaaS and IaaS is likely important.
Figuring out how the business works. Experiences their customers work with that are supported by IT, e.g., eCommerce, mobile device, call-center.
Figuring out the stick figures and the lines to boxes - user-centric design and thinking.
Agile, value-streams.
Outcomes/What is “strategy”?
Outcomes - result (monetary, usually) you want. How you’ll achieve it (e.g., sell through mobile apps)… working backwards to the things required (in eCommerce, I need to show a catalog of products, get them to pay for it, ship it, handle returns, etc.)
The value of TOGAF and ITIL side-note.
How to ferret them out - sit in people with a room and walk back the business, a bunch of questions. “Boardio.”
How to “model”/document them - taxonomy.
How do these workflows/outcomes align to what the business is doing.
Finding duplication that’s wasteful - if we want faster cycle-times, we want to democratize data access (more transparent, well-known data sources, etc.)… not burdened with re-creating. Not so much (or only) an “IT service” that’s duplicated, but sort of logical pools of data. Cost-removal is fine, but also removing conflicts and dealing with conflicts, and removing time-to-understand how all these different things work.
Define future vision, aka, “what do we [in IT] do now?”
First step, how decoupled is the business from IT Special Guest: Matt Walburn.
What’s the “business” side of enterprise architecture? And how does EA’ing start mapping to DevOps, cloud-native, and all the new stuff? In part one of this discussion, I talk with Matt Walburn about how EA’s fit into The Business.
Rough Outline
Rorschaching “Enterprise Architect” (EA)
The bad parts of EA - governance
“Neo-classical DevOps”
Matt Walburn - AWS, Pivotal, Target.
DIY Whitepaper
Understanding how the business works, the customers (internal and external), what IT is in place.
What’s the “operating model” for figuring out what IT does: deciding on the plan, finance, HR, translating things to developers.
Taking out COTS and desktop management - however, commoditizing by going SaaS and IaaS is likely important.
Figuring out how the business works. Experiences their customers work with that are supported by IT, e.g., eCommerce, mobile device, call-center.
Figuring out the stick figures and the lines to boxes - user-centric design and thinking.
Agile, value-streams.
Outcomes/What is “strategy”?
Outcomes - result (monetary, usually) you want. How you’ll achieve it (e.g., sell through mobile apps)… working backwards to the things required (in eCommerce, I need to show a catalog of products, get them to pay for it, ship it, handle returns, etc.)
The value of TOGAF and ITIL side-note.
How to ferret them out - sit in people with a room and walk back the business, a bunch of questions. “Boardio.”
How to “model”/document them - taxonomy.
How do these workflows/outcomes align to what the business is doing.
Finding duplication that’s wasteful - if we want faster cycle-times, we want to democratize data access (more transparent, well-known data sources, etc.)… not burdened with re-creating. Not so much (or only) an “IT service” that’s duplicated, but sort of logical pools of data. Cost-removal is fine, but also removing conflicts and dealing with conflicts, and removing time-to-understand how all these different things work.
Define future vision, aka, “what do we [in IT] do now?”
First step, how decoupled is the business from IT
Special Guest: Matt Walburn.