learning to count - jam 2015 - handouts

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Nicholas Gill, Associate Dean of Institutional Research & Planning York County Community College, Wells, Maine May 2730, 2015 Learning to Count: The IR & Jenzabar Relationship Jenzabar’s Annual Meeting May 27 30, 2015 Gaylord Opryland Resort & Convention Center Nashville, TN

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Page 1: Learning to Count - JAM 2015 - Handouts

Nicholas Gill, Associate Dean of Institutional Research & Planning York County Community College, Wells, MaineMay 27‐30, 2015

Learning to Count: The IR & JenzabarRelationship

Jenzabar’s Annual MeetingMay 27 ‐ 30, 2015 

Gaylord Opryland Resort & Convention CenterNashville, TN

Page 2: Learning to Count - JAM 2015 - Handouts

Understanding reciprocity:   The impact of Data integrity on potential reporting from Jenzabar EX.

Managing data requests: Do your stakeholders know what data    they need?

Cultivating Buy‐in: How understanding Jenzabar EX can support increased centralized reporting and data‐driven decision‐making.

Topic Outline

Page 3: Learning to Count - JAM 2015 - Handouts

What are the Standard Operating Procedures (SOP) for recording data?

How much data depth is recorded?

What are the quality assurance processes in place?                                (i.e. auditing, exception reports)

Are the above done conscientiously, consistently, and cross‐institutionally?

Data Practices and Integrity

Page 4: Learning to Count - JAM 2015 - Handouts

IR Mantra: Data in         Data Out

What is the demographic distribution of our students?

What demographic data have you captured in Jenzabar EX?

What data should we have? Whatever data you would like reported…

Requestor IR Response

Page 5: Learning to Count - JAM 2015 - Handouts

X No Unique IdentifierX No SSNX No Birth Date

X No Relationships

X No Degree Attainment

X No Marital Status

X No Gender

X No Ethnicity

Less Data Integrity       Fewer Reporting Options

Page 6: Learning to Count - JAM 2015 - Handouts

X No Unique IdentifierX No SSNX No Birthdate

X No Relationships

X No Degree Attainment

X No Marital Status

X No Gender

X No Ethnicity

Trouble distinguishing new records from existing ones… creates DUPLICATES!

Development – Minimal and inconsistent data affects mapping alumni relations.

External reporting obstacles:College BoardNCES / IPEDSNSCNSLDS

Compounding Issues

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IR: Where?But we have the “Real” data…

Page 8: Learning to Count - JAM 2015 - Handouts

IR: Yes….but….

?

Peripheral data can produce reports….

Page 9: Learning to Count - JAM 2015 - Handouts

2 Unique Identifiers SSN Birth Date

3 Relationships

Degree Attainment

Marital Status

Gender

Ethnicity

Spouse’s Employer

More Data Integrity       More Reporting Options

Page 10: Learning to Count - JAM 2015 - Handouts

Centralized data is more robust and yields more possibilities.

It is live and responsive to data entry and activity.

Warehoused data or snapshots can produced static reports

Database (SQL) TablesPeripheral Sources

Where should my IR data live?

Page 11: Learning to Count - JAM 2015 - Handouts

Database (SQL) Tables Formatted Reports

Do I need a query or a report?

Page 12: Learning to Count - JAM 2015 - Handouts

? Is this an one‐time request?

? Is the data something you want to be able to access routinely or remotely?

? Does anyone else need to access the information?

? Does the data need to fit into a third‐party’s format?

? Are their visual components (i.e. charts, graphs, or summary tables)?

? Do you have supplemental data to add from a peripheral source(s)?

To query or to report…

Page 13: Learning to Count - JAM 2015 - Handouts

How do data requests come in?

How is workflow managed?

What types of questions are asked of the requestor?

Are expectations communicated?

Are the above done consistently and cross‐institutionally?

Managing Data Requests

Page 14: Learning to Count - JAM 2015 - Handouts

+ Request is recorded

+ Request format can be homogenized / structured (i.e. a web ticket)

+ Supports  migration of requests to project management application

‐ Lost nuances, conversation and lost time to flesh out the request

+ Request may be recorded via voice mail

+ Tone and conversational potential (but no body language)

‐ Does not support direct migration to project management application

‐ Less format then in the computer recorded request

+ Tone and conversational aspects are most complete, maximum opportunity to flesh out requests 

‐Minimal formatting   (more organic)

‐ Basically no recording at time of interaction

How do data requests come in?

Page 15: Learning to Count - JAM 2015 - Handouts

Where is the balance?

TechnologyProcess

DocumentationEfficiency

CollaborationConversation

TrainingOrganic Requests

How does IR find a balance

Page 16: Learning to Count - JAM 2015 - Handouts

Where is the balance?How effective are requests now?

Yes it is but, is this: ? For credit and non‐credit…? For Fall, Spring, Summer, or 12 month…? For matriculated and non‐matriculated students…

Do you want to:? Include withdrawals…? Include drops…? Include online course, internships, independent studies…? Measure as of the term census dates, peak enrollment 

periods, or at the end of add/drop…

The email is not enough, we need…

Page 17: Learning to Count - JAM 2015 - Handouts

Where is the balance?Here is what happened…

Page 18: Learning to Count - JAM 2015 - Handouts

Where is the balance?Cultivating Buy‐In

Stakeholders start to understand that Jenzabar EX is essentially a “collection of living spreadsheets” (SQL tables).

What they enter on their screen populates those tables that we report from…

Queries allow IR to filter and access my data for me LIVE…

This seems powerful….

Page 19: Learning to Count - JAM 2015 - Handouts

Where is the balance?Transformative Period: Mezirow

Disorienting Dilemma: “Jenzabar is beyond me, I’ll just stick with my files and Excel.”

Challenging core beliefs: “This really isn’t so different from what I am doing…”

Restructuring worldviews: “Reallocating my time away from maintaining satellite data and towards the IDB SAVES TIME!”

Evolved perspective: “The live data is much more useable now that I know how it works.”

New questions: What else can it do, what types of reports can we build?

Mezirow, J. (1991). Transformative Dimensions of Adult Learning. San Francisco: Jossey‐Bass.

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Where is the balance?Sample Reports from YCCC

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Where is the balance?Sample Reports from YCCC

Page 22: Learning to Count - JAM 2015 - Handouts

Where is the balance?Sample Reports from YCCC

Page 23: Learning to Count - JAM 2015 - Handouts

Where is the balance?Sample Reports from YCCC

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Questions?Thank you!