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Roll Call (by timezone - East to West)

Scribe Shout-out - It's easy to scribe: How To Scribe Itana Calls Guide

Agenda Bash

Topic: Book Club: Report out: How to Measure Anything

Itana Org Updates

Working Group Updates

New2EA Working Group

API Working Group

Business Architecture Working Group

EA Maturity Model Working Group

Book Club - Reading "How to Measure Anything"

Steering Committee Update

Note:  For next call read:  Article: A Career in Organized Anarchy: Building Interpersonal Relationships in Higher Education, Matthew House


Attendees

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Announcements - Itana News, Working Group Report out

Topic Title - Architecture and ERP programs

  • help business units understand change management, testing
  • Value of guardrails for future work, establishing reference architectures, decision tree to provide guidance (e.g., for integration)
    • fairly well received by business units, in part due to the pressure to make progress (crisis mode)
  • "We don't need architects, we need people to do stuff"
  • CIO leadership is good
  • ----------
  • Executive sponsorship includes CIO
  • Building security into (architecture) review has been effective to add to credibility and adherence to standards. review board sponsored by central IT.
  • cultural aspect - demanding people work for your architects
  • stabilization - implementation part II, operationalizing, actually doing some of the work not done during planning that hinders implementation
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  • data and process focused, business led
  • look for opportunities to consolidate services/systems
  • organizational change management is huge - train and educate early
  • use Lean Six Sigma bench of green belts (LSSGB) and black belts (LSSBB) to assist, 20-25% of university staff have basic Lean Six Sigma training
  • BI team heavily involved, including data architect
  • PMO coordinates the effort
  • funded by central campus, and shifting to cloud first, SaaS first, where those "older technology" resources are repurposed to the enterprise project
  • service owners are expected to be trained to the LSSGB level and have a continuous improvement plan in place
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  • focus on integrations and data flow was funded in the project and managed by the EA program
  • when funding for the enterprise project was finished, advanced capabilities evaporated with little support to sustain
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  • small EA program - focus on standards and adherence to those standards with "architects" across institution. 
  • Further focus on authentication, narrow scope to keep the university out of trouble
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  • EA program playing catch up with the enterprise project
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  • How do we get away from one-shot lifts and move toward an continuous effort?
    • change is part of what we do
    • role of continuous improvement (e.g., service continuous improvement plan)
    • possible role of LSS
  • Next call will include the article’s author (Matthew House).  If possible, please read article (8 pages) beforehand to help prepare (see link above in Agenda section)
  • Have a Face-to-Face submission to EDUCAUSE (Chicago) related to those new to EA in Higher Ed

Book Club:  Report out: How to Measure Anything

Measurement in this context is defined as reducing uncertainty to support in decision making.

Key Concepts

  • It has been measured before – Research first as someone may have already figured out how to measure something
  • You already have more data than you think – You have information that can help provide insight (Enrico Fermi decomposition - “How many piano tuners in Chicago?” example)
  • You need less data than you think (Eratosthenes estimate earth’s circumference by applying basic geometry to noon shadow lengths in different cities)
  • New observations are more accessible than you think (simple experiments/observations can provide useful information to reduce uncertainty)

Approach

  • Define decision problem – Make sure you measure will support decision process
  • Determine what you already know – Helps determine if you should measure something and how to measure it
  • Compute value of obtaining additional information – Make sure the cost of measuring, the depth of measuring, and the value it provides is worth it for the decision being made
  • Apply relevant measurement instruments to high value measurements

 

Biases

  • An inherent problem with human experts
  • Manage expert bias by “calibrating” the experts with author’s “Adapted Lens Model” (a fairly involved process that isn’t applicable to all measurement scenarios)

 

U-Washington Use Case: Document Management

  • Avoid measuring just to measure – focus on real decisions and reducing uncertainty (e.g. how to allocate resources for unmet demand)
  • Decomposition and small measurements can reduce a lot of uncertainty

 

Yale Use Case:  Monitoring @ Yale

  • Enterprise monitoring, alerting & performance metric project (quantitatively expressed reduction of uncertainty)
  • Determine what decisions are we driving and the processes they impact
  • Determine most important areas for measurement

 

Discussion:

  • Valid decision question requires a decision maker is needed, and sometimes we (Higher Ed) don’t always have it.  Culturally Higher Ed can at times to be reluctant to discuss measurement.
  • Most value for architects seems to come from the first part of the book where it discusses why we measure and approaches.

Chat

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Miami of Ohio is using this type of info to come up with a ROI for project proposals.

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Org Updates

  • New EA in Higher Ed – Second mtg with those who will lead; another month or so for format to group to get settled
  • API Working Group – Upcoming meeting on the 28th
  • Biz Arch Working Group – Next Fri call with Jeff Kennedy on using CAUDIT model for strategic storytelling
  • Maturity Model – Waiting for next phase, encouraging people to do a practice profile
  • Internet 2 EA Birds of a Feather on March 6 - https://meetings.internet2.edu/2019-global-summit/detail/10005458/

 See meeting deck for additional information